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Academic literature on the topic 'Radiographic images'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 June 2025

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Journal articles on the topic "Radiographic images"

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Ekayultania, Vivin Nadine, Ryna Dwi Yanuaryska, and Silviana Farrah Diba. "Panoramic and periapical radiographs utilization in Disaster Victim Identification (DVI): narrative review." Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI) 5, no. 3 (2021): 130. http://dx.doi.org/10.32793/jrdi.v5i3.714.

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Objectives: The purpose of this narrative review is to discover radiographic images in panoramic and periapical radiographs that are used as identifiers and to compare the use of panoramic and periapical radiographs in identification based on DVI. Review: The databases used in this narrative review are Google Scholar, PubMed, and Science Direct. A total of 1258 search results appeared based on keywords. The search results were selected by title and abstract according to their relevance to the review topic, then results are selected again based on the inclusion and exclusion criteria. Total of 38 literatures were reviewed. This review shows radiographic identifiers used in panoramic radiographs are tooth restorations, crown, Root Canal Treatment (RCT), dental bridge, dental implants, maxillary sinus, rectilinear metal plate, orthodontic brackets, tooth anomaly, and root morphology. The radiographic identifiers used in periapical radiograph are tooth restorations, PSA, tooth anomaly, and root morphology. In this review, 53.8% of the literatures used panoramic radiograph for identification, whereas 46.2% used periapical radiograph. Conclusion: This review concluded that the most used radiographic identifier in panoramic radiograph is tooth restoration (57,1%) whereas in periapical radiograph is RCT (83,3%). Panoramic radiography were used in 53,8% of the literatures in this review, it was used more than periapical radiography.

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Maghbuli, Hossein, Tahmine Razi, Elham Banakar, Parya Emamverdizade, and Sedighe Razi. "Positioning Errors in Panoramic Images Based on the Dentition Type of Patients Referring to the Oral and Maxillofacial Radiology Department of Tabriz Dental School During 2017-2018." Avicenna Journal of Dental Research 15, no. 2 (2022): 36–41. http://dx.doi.org/10.34172/ajdr.2023.535.

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Background: Panoramic imaging is a technique to create images of facial structures. Various factors affect the preparation of a high quality and proper panoramic image, such as the patient’s proper position. The aim of this study was to investigate positional errors in panoramic images based on the dentition type of patients referring to oral and maxillofacial radiology department of Tabriz Dental School Methods: This cross-sectional study was conducted in Radiology Department of Tabriz Dental School in 2017-18. Dentition of patients (primary, mixed, permanent, complete edentulous) was determined by radiography. 410 radiography per group (1640 samples) were selected from the archives of Radiology Department by simple random sampling method. one radiologist evaluated all the images in the same condition and in a semi-dark room, in a 21-inch DELL monitor, regarding the presence of each of the positioning errors. Radiographs that were repeated due to positioning errors and poor diagnostic quality were classified as unacceptable radiographic images. Results: In primary, mixed, permanent and edentulous dentitions, not attaching the tongue to the palate were the most errors in the radiographies, with 50.4%, 65.6%, 64.3% and 64.8%, respectively. The presence of 2 errors (563 radiographies, 34.3%) had the highest frequency. 123 radiographies (7.5%) were free of errors. Primary dentition with 95 radiographies (23.2%) had the highest unacceptable radiographies, and edentulous dentition with 29 radiographies (7.1%) had the lowest unacceptable radiographies. Chi-square test indicated that this finding was statistically significant (P <0.001). Conclusions: Positioning error has high prevalence in radiographic images, the most common of which is not attaching the tongue to the palate during radiography. In the primary dentition period, the number of acceptable radiographs was lower than the other periods.

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Mattoon, J. S. "Digital radiography." Veterinary and Comparative Orthopaedics and Traumatology 19, no. 03 (2006): 123–32. http://dx.doi.org/10.1055/s-0038-1632988.

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SummaryDigital radiography has been used in human medical imaging since the 1980's with recent and rapid acceptance into the veterinary profession. Using advanced image capture and computer technology, radiographic images are viewed on a computer monitor. This is advantageous because radiographic images can be adjusted using dedicated computer software to maximize diagnostic image quality. Digital images can be accessed at computer workstations throughout the hospital, instantly retrieved from computer archives, and transmitted via the internet for consultation or case referral. Digital radiographic data can also be incorporated into a hospital information system, making record keeping an entirely paperless process. Digital image acquisition is faster when compared to conventional screen-film radiography, improving workflow and patient throughput. Digital radiography greatly reduces the need for “retake” radiographs because of wide latitude in exposure factors. Also eliminated are costs associated with radiographic film and x-ray film development. Computed radiography, charged coupled devices, and flat panel detectors are types of digital radiography systems currently available.

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Yunita Yunita and Ayu Mahani. "Studi Kasus Repeat (Pengulangan) Radiograf dengan Modalitas Digital Radiography (DR) di Instalasi Radiologi RSUD Dr. Soehadi Prijonegoro Sragen." Jurnal Ilmiah Kedokteran dan Kesehatan 4, no. 2 (2025): 227–41. https://doi.org/10.55606/klinik.v4i2.3929.

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Repeat analysis is a systematic method for analyzing radiographic images repeatedly to identify and reduce errors in digital processing. This method is part of the quality assurance (QA) and quality control (QC) program which aims to ensure optimal quality radiographic results. According to the Decree of the Minister of Health Number 129/Menkes/SK/II/2008 concerning the standard for repeat radiographic images <2%. This study aims to determine the factors that cause repeat photos and how to prevent repeat photos at Dr. Soehadi Prijonegoro Sragen Hospital. This research method uses qualitative with a case study approach to analyze repeat radiographs using Digital Radiography (DR) at the Radiology Installation of Dr. Soehadi Prijonegoro Sragen Hospital. The study was conducted from September 2024 to March 2025. The population includes all radiographic images with DR modality, while the sample is the result of repeat radiographic images. Data were collected through direct observation, interviews with three radiographers and one radiology specialist, and documentation. The average percentage of repeat X-ray photos on digital radiography modality in October 2024 was 1954 examinations with 122 repeats with a percentage of 6.24%, in November 2024 was 2206 examinations with 70 repeats with a percentage of 3.17%, in December 2024 was 2622 examinations with 16 repeats with a percentage of 0.61%. The percentage of repeats on digital radiography (DR) modality that occurred at Dr. Soehadi Prijonegoro Sragen Hospital exceeded the standards set by the Minister of Health with repeat results> 2% in October and November 2024. The factors causing repeats are due to positioning, patient movement, exposure factors, artifacts and equipment. The suggestion to minimize repeats that occur is to increase the accuracy of the radiographer in conducting the examination.

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Andrade, Júlia Guerra de, Gabriel Andrade Nunes Carrijo, Caroline Loureiro, Ana Paula Fernandes Ribeiro, Gladiston William Lobo Rodrigues, and Rogério de Castilho Jacinto. "Endodontic images as a forensic identification: A literature review." Research, Society and Development 10, no. 8 (2021): e16310816994. http://dx.doi.org/10.33448/rsd-v10i8.16994.

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Several radiographs are taken during endodontic treatment, thus providing a large number of images with individual characteristics that can be used for forensic identification of an individual. This study aimed to review the literature related to the use of endodontic radiographs in the identification of cadavers. A bibliographic search was carried out in the following databases: PubMed, Scielo, Periódicos Capes, and Web of Science. The keywords used were: forensic dentistry, endodontics, dental radiography, forensic identification. In total, 24 articles related to radiography in the identification of cadavers were found. Among them, 8 studies were selected for including endodontic radiographs for this purpose, comprising different types of studies: case reports of forensic identification through endodontic radiography (4); “in vitro” studies on the influence of high temperatures on endodontic materials and their radiographic images (2); a literature review on how radiographs can be used for identification (1); a comparative study between antemortem and post-mortem endodontic radiographic images (1). Overall, the present study showed that endodontic radiographs have a significant amount of information that can be used to identify a cadaver. Therefore, it is important to perform and store radiographs properly and for long periods. Literature related to the subject is still scarce and further studies are needed.

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Sukanya, Arockia, Kamalanand Krishnamurthy, and Thayumanavan Balakrishnan. "Comparison of Preprocessing Techniques for Dental Image Analysis." Current Medical Imaging Formerly Current Medical Imaging Reviews 16, no. 7 (2020): 776–80. http://dx.doi.org/10.2174/1573405615666191115101536.

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Various dental disorders, such as lesions, masses, carries, etc. may affect the human dental structure. Dental radiography is a technique, which passes X-rays through dental structures and records the radiographic images. These radiographic images are used to analyze the disorders present in the human teeth. Preprocessing is a primary step to enhance the radiographic images for further segmentation and classification of images. In this work, the preprocessing techniques such as unsharp masking using high pass filter, bi-level histogram equalization and hybrid metaheuristic have been utilized for dental radiographs. The performance measures of the preprocessing techniques were analyzed. Results demonstrate that a hybrid metaheuristic algorithm for dental radiographs achieves higher performance measures when compared to other enhancement methods. An average Peak Signal-to-Noise Ratio (PSNR) value of 21.6 was observed in the case of a hybrid metaheuristic technique for dental image enhancement.

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Bwanga, Osward, and Bornface Chinene. "Involvement of radiographers in the interpretation and reporting of general radiographic images." Medical Journal of Zambia 50, no. 4 (2024): 391–98. http://dx.doi.org/10.55320/mjz.50.4.440.

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Globally, radiographers play an important role in the diagnosis and treatment of injuries and diseases. Radiographers have ample opportunities to encounter a wide variety of radiographic images throughout their training and careers. For this reason, radiographers are in a better position to communicate their radiographic observations to the referring clinician. However, there is a lack of clarity on the level of radiographers’ involvement in the interpretation and reporting of general radiographic images. Therefore, this educational article has identified and reviewed the three levels of involvement: abnormality detection system (red dot system), preliminary clinical evaluation (commentary reporting), and clinical reporting as identified from the literature. This information is important to the radiography profession and stakeholders in African countries planning to extend the role of a radiographer in image interpretation and reporting on general radiographic images.

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Lohe, Vidya K., Supriya V. Gupta, Ravindra P. Kadu, Ravikant V. Sune, Swapnil C. Mohod, and Mrunal G. Meshram. "Comparing the Accuracy of Conventional with Direct Digital Radiographic Method in Diagnosing the Periapical Lesions." Journal of Datta Meghe Institute of Medical Sciences University 19, no. 4 (2024): 666–70. https://doi.org/10.4103/jdmimsu.jdmimsu_13_24.

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Background: Traditionally, the conventional radiograph forms the primary imaging modality in diagnosing, treating, and carrying out the follow-up of periapical lesions. Early lesions are hard to identify precisely due to the diffused and infiltrative characteristics of the inflammatory course in bone. There is much controversy concerning the precision of imaging technique in identifying radicular lesions. Materials and Methods: One hundred and fifty dentate patients with the age range of 16 years and above were recruited. After clinical examination of the subjects, conventional films and digital images were obtained separately on the same case by employing the bisecting angle technique for acquiring direct digital and conventional radiographic images. The digital images viewed by the observers and results were tabulated for statistical analysis. Results: Radiographic diagnostic accuracy in diagnosing the periapical processes was more by digital radiography than the conventional one. Conclusion: The results demonstrate that the conventional radiograph being the gold standard has more diagnostic accuracy in measuring periapical lesions. Digital radiographs can be used as an alternative with the advantages being that there is no use of processing solution and the ability to enhance image, data storage, and diagnostic value also can be changed by the operator.

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Armitasari, Linda, Rafiq Mubaroq, and Wahyu Murti Cahyo Putro. "ANALISIS REPEAT CITRA RADIOGRAF SEBAGAI BENTUK KESELAMATAN RADIASI DI INSTALASI RADIOLOGI RUMAH SAKIT ISLAM KLATEN." Prosiding Seminar Si-INTAN 4, no. 1 (2024): 18–24. http://dx.doi.org/10.53862/ssi.v4.092024.003.

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Repeat analyses are radiographs that are not clinically acceptable and are requested to be retaken. The primary purpose of the repeat analyses program is to take corrective action, record the repeated radiographic images, and determine the cause of the repetition so that it can be minimized or even eliminated. Klaten Islamic Hospital needs to keep its radiology services optimal and safe for patients as a referral hospital. One indicator of the quality of service is the low repetition rate of radiographic images. This study aims to determine the percentage of factors causing the repetition of radiographic images and suggested solutions to minimize repeat radiographic images in the Radiology Department. Survey research with a quantitative approach to repeating radiographic images at the Radiology Department. The study was conducted in February-May 2024 using observation, survey, and documentation. The percentage of repetition of radiographic images at the Radiology Installation of Klaten Islamic Hospital in the first month was 2.72%, in the second month was 3.04%, in the third month was 4.05%, and in the fourth month was 3.43%. Factors causing the repetition of radiographic images include miscollimation (clipped), artifacts, exposure factors, tools, and patient movement. Suggested solutions to minimize the factors causing the repetition of radiographic images in the Radiology Installation of Klaten Islamic Hospital are good communication between radiographers and patients, double checking before exposure, clear instructions to patients, ensuring there are no objects that can become artifacts, using appropriate exposure parameters, calibrating and testing suitability regularly, reporting if there is equipment damage, and using immobilization techniques. Keywords: Repeat Analyses, Digital Radiography, radiation safety for patient.

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Arslan, Zeynep Betül, Hilal Demir, Dila Berker Yıldız, and Füsun Yaşar. "Diagnostic accuracy of panoramic radiography and ultrasonography in detecting periapical lesions using periapical radiography as a gold standard." Dentomaxillofacial Radiology 49, no. 6 (2020): 20190290. http://dx.doi.org/10.1259/dmfr.20190290.

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Objectives: The purpose of this study was to compare the accuracy of imaging techniques in diagnosing periapical lesions. Methods: Imaging records of 80 patients (51 females, 29 males, aged between 14 and 75 years) including periapical and panoramic radiographs and ultrasonographic images were selected from databases of Selcuk University Dentistry Faculty. Periapical radiographs were accepted as gold-standard and 160 anterior maxillary and mandibular teeth with or without periapical lesion were included to the study. Three specialist observers (dental radiologists) evaluated the presence and appearance of periapical lesions on panoramic radiograph and ultrasonographic images. Sensitivity, specificity, positive predictive value, negative predictive value and diagnostic value of panoramic radiographs and ultrasonography were determined. Results: Sensitivity was 0.80 and 0.77 for ultrasonographic images and panoramic radiographs, respectively which shows that periapical lesion was correctly detected in 80% of the cases with ultrasound and in 77% of the cases with panoramic radiography. Specificity values were determined as 0.97 for ultrasound and 0.95 for panoramic radiography. Overall diagnostic accuracy was 0.86 and 0.84 for ultrasound and panoramic radiography, respectively. Conclusions: Periapical and panoramic radiographs are commonly used to visualize periapical lesions. Besides, ultrasonography is an alternative method to digital radiographic techniques in the diagnosis of anterior teeth with periapical lesions.

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Dissertations / Theses on the topic "Radiographic images"

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Pitcher, Christopher D. "Quantitative metrics to evaluate image quality for computed radiographic images." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0007362.

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Evanoff, Michael Geoffrey 1964. "Automatic identification of chest orientation in digital radiographic images." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/282811.

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Radiology departments are implementing conversion from the use of hard copy film in favor of digital imaging. New digital acquisitions are increasing the efficacy of radiological imaging. The outputs of new modalities such as magnetic resonance (MR) and computed tomography (CT) are digital. They both involve gathering information that allows reconstructing cross sectional projections of internal structures and displaying them as digital images. Other technologies, e.g., computed radiography (CR), can provide digital radiographic data that replaces analog projection radiography. To date, the processed digital data is still transferred to film to provide a typical radiographic film in appearance. The film is presented to the doctor for diagnostic review. The research in this dissertation is concerned with making a film-less department. It specifically addresses problems in presenting CR images to the physician. The goal of this research is to create a computer recognition algorithm that will automatically recognize the orientation and discriminate between the lateral and posteroanterior view of digital chest radiographs image. The algorithm maintains 91.9% accuracy rate. The recognition takes .15 second per image.

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Abela, Brandon. "Detecting diabetic foot osteomyelitis in plain radiographic images using Deep Learning." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2024. https://ro.ecu.edu.au/theses/2843.

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Diabetic Foot Disease (DFD) costs the Australian healthcare system $1.6 billion annually. A type of DFD is Diabetic Foot Osteomyelitis (DFO) which is a bone infection. Diagnosis of DFO currently involves an initial X-ray of the foot examined by a clinician, but due to the poor accuracy of this technique (68.91% sensitivity; 77.99% specificity), in many cases, a second[1]line approach is required. Typically, suspicion needs to be confirmed with more time consuming and expensive methods, such as probe-to-bone test or MRI (95.76% sensitivity; 81.79% specificity), which slows down treatment acquisition and results in unnecessary costs. A potential solution to the low sensitivity of X-ray-based DFO diagnosis, is the integration of Deep Learning (DL) into the diagnostic process. However, developing DL models for clinical deployment requires the model to be resistant to feature distribution shifts that naturally occur when transferring a model to a new context. To ensure that a model is robust and viable for clinical deployment, the features present during development need to be identified. This allows for the isolation of specific features and the evaluation of their impact on model performance. The exploration of the features present in a DFO dataset makes up the first stage of this work. After identifying the features contributing to model performance, it is then necessary to control the features negatively impacting performance within the context of a distribution shift. Features that negatively affect performance in this context are called spurious features, which are features unrelated to the target class that co-occur with the target class in the training dataset. The application of data balancing via filtering to mitigate spurious correlations is a common approach. However, this limits the data that can be used, further exacerbating a problem in medical AI research, limited labelled data. Therefore, the second part of this study introduces and evaluates a data balancing process for validating the existence of spurious correlations stemming from imbalanced data. This process is shown to be effective at validating spurious correlations and is used to aid the development of the final DFO classification model. The developed model was evaluated both free from and under the conditions of a forced distribution shift and maintained similar performance, insinuating that the model had been effectively developed with a resistance to a defined distribution shift. Overall, this study made a range of contributions including the identification of co-morbid abnormalities in a DFO dataset, the development of a process for validating spurious features and development of an effective DFO classification model. The major findings of this thesis include the following: amputations and imaging procedures are identified and confirmed to be spurious features affecting model performance; pair matching can be used during testing to validate spurious features; and extracting a patch from the region of interest is an effective method for developing a DFO classification model. This work has the potential to reduce radiologists’ workload, improve case turnaround time, increase access to accurate diagnostic tools for low socio-economic regions, improve the healthcare systems return on investment, and improve reliable AI deployment by ensuring models behave as expected.

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Colclough, Tony. "A system for the digitisation and enhancement of industrial radiographic film images." Thesis, University of Liverpool, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342819.

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Ekert, Thomas [Verfasser]. "Machine learning techniques for computer aided classification of dental radiographic images / Thomas Ekert." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2020. http://d-nb.info/1206183144/34.

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Van, der Venter Riaan. "Reporting on radiographic images in after-hours trauma units :Experiences of radiographers and medical practitioners." Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/23779.

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Globally there is a lack of radiologists, which results in unreported radiographic examinations, or a delay in reporting on radiographic images even in emergency situations. In order to mitigate and alleviate the situation, and optimise the utilisation of radiographers a red dot system was introduced in the United Kingdom, which later aided in the transformation of the role of radiographers in terms of formal reporting of various radiographic examinations. Although there is a shortage of medical practitioners and radiologists in South Africa the extended role of radiographers has not been yet realised for radiographers. At present, radiographers and medical practitioners work in collaboration to interpret and report on radiographic examinations informally, to facilitate effective and efficient patient management, but this is done illegally because the regulations defining the scope of the profession of radiography does not allow for such practice, putting radiographers and organisations at risk of litigation. In order to gain an in-depth knowledge of the phenomena, to enable the researcher to provide recommendations to the Professional Board of Radiography and Clinical Technology (PBRCT) of the Health Professions Council of South Africa (HPCSA), a qualitative, exploratory, descriptive, and contextual research study was undertaken. Radiographers and medical practitioners were interviewed in order to elicit rich descriptions of their experiences regarding reporting of trauma related radiographic images in the after-hours trauma units. Data were gathered using in-depth semi-structured interviews, and the data were analysed using kesch’s method of thematic synthesis. Three themes emerged from the data, namely the challenges radiographers and medical practitioners face in the after-hours trauma units respectively, with regards to reporting of trauma related adiographs, and suggestions were proposed to optimize the participation of radiographers with regard to trauma related radiographs in these units. A thick description and literature control was done using quotes from participants. Measures to ensure trustworthiness and ethical research practices were also implemented. Thereafter, recommendations were put forward for the PBRCT of the HPCSA, using current literature and inferences made from the findings of the study.

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Weatherburn, Gwyneth Christine. "The effect of the introduction of picture archive and communication systems (PACS) on patient radiation doses and patient management." Thesis, Brunel University, 2000. http://bura.brunel.ac.uk/handle/2438/4975.

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This thesis considers the effects of Picture Archive and Communications Systems (PACS), on both patient radiation doses and patient management. PACS is a relatively new technology which acquires, transmits, and stores radiological images digitally. This thesis investigates the doses which are required to produce radiographic images which are acceptable to radiologists and referring clinicians, and compares these doses with those required for the film/screen systems which they are replacing. A review of the literature shows that despite claims of dose reductions, very little good evidence exists about dose changes with the introduction of PACS. A comparison of images of test objects indicates that the images are comparable under limited conditions, that PACS has a much wider latitude than film (>250 mAs), and that contrast detail improves with increase in exposure. Two original observational studies are described in which PACS and film doses are compared for examinations of two groups of adult patients. The results indicate that the doses for PACS equate to those used with a 300 speed film/screen system thus necessitating dose increases of around 30% for the majority of adult patients in the UK. The issue of whether the number of images which are repeated, with additional patient doses, due to unsatisfactory images (rejected images), or unavailability of the images when clinically required (lost images), is addressed and indicates that PACS may allow a dose saving of 1.1 % and 1.4% respectively. The overall result of these studies indicates that the widespread introduction of PACS is likely to increase population doses. Two original studies which consider patients within the Accident and Emergency department are described. These studies aim to produce evidence to justify the introduction of the new technology, despite higher radiation doses, by identifying improvements in patient management which might improve patient outcomes. The results of these studies provide little evidence of such benefits to patients. This thesis concludes that the use of current PAC systems produces an increase in the radiation dose to the adult population in the UK, without demonstrable improvements in patient management.

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Karasad, Mohamed. "Tatouage des images médicales partagées." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2018. http://www.theses.fr/2018IMTA0076.

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L'évolution rapide des technologies du multimédia et des communications s'exprime dans le domaine de la santé par la mise à disposition de nouveaux moyens de partage et d'accès distant aux données d'imagerie des patients. Ces moyens prennent désormais une place importante dans la pratique quotidienne médicale. Pour les professionnels de santé, ils facilitent la prise en charge des patients et permettent d'améliorer la gestion de l'information médicale. Dans un tel contexte, la question de la sécurité des données est particulièrement sensible, notamment en termes d'intégrité, d'authenticité et de traçabilité. Aujourd'hui, la plupart des mécanismes de sécurité existants comme les techniques cryptographiques et le contrôle d'accès offre une protection permettent d'empêcher les utilisateurs non-autorisés d'accéder au contenu des données ; des images pour ce qui nous concerne. Cependant, ils n'offrent qu'une protection de type « a priori » dans le sens où l'image est seulement protégée avant que l'accès à son contenu soit donné. Le tatouage numérique a été proposé comme un mécanisme de sécurité complémentaire à ces solutions « a priori ». Il fournit une protection de type « a posteriori » permettant ainsi à l'utilisateur d'accéder au contenu de l'image tout en le maintenant protégée par une « marque » imperceptible. En effet, dans le cas des images, le tatouage modifie ou module les valeurs de niveaux de gris des pixels de celles-ci de manière imperceptible pour coder ou insérer un message (i.e. une marque). Ce message peut être utilisé pour vérifier l'intégrité de l'image, son authenticité ou à des fins de traçabilité. Le tatouage offre ainsi une protection pérenne, indépendante du format de stockage de l'image tatouée. Du fait de la sensibilité des images médicales, l'imperceptibilité est évidemment la contrainte la plus forte à considérer pour le tatouage des images médicales. En effet, la modification des niveaux de gris de l'image peut introduire un doute sur sa validité. C'est dans ce cadre que s'inscrivent les travaux de recherche menés dans cette thèse. Ils visent à développer des nouvelles méthodes de tatouage plus appropriées aux images médicales, c'est-à-dire des méthodes permettant de préserver au mieux la qualité de l'image. Ainsi, nous avons proposé trois solutions originales, qui profitent du bruit d'acquisition inhérent dans les images radiographiques pour y masquer une marque de la même puissance que le bruit. Ainsi, l'image sera protégée et l'information utile pour le diagnostic reste inchangée. La première solution, se base sur des techniques de débruitage pour identifier le bruit dans une image. On parle ici d'identification globale du bruit, par la suite une marque est insérée en respectant la distribution du bruit. La mise à jour de la marque dans cette solution nécessite l'introduction d'une nouvelle distorsion. Pour pallier à cela, nous avons amélioré notre système dans une deuxième solution, pour qu'il devienne réversible, c'est-à-dire à l'extraction de la marque l'image est reconstruite sans pertes de données. Dans la troisième solution, nous nous sommes basés sur une modélisation local du bruit dans les images radiographiques afin d'adapter la marque localement dans l'image. On parle ici du masquage psychovisuel. Ce type de tatouage dès lors était réservé aux images grands public, son utilisation en médicale est une première. Nous avons également mise en place un protocole de validation subjectif en collaboration avec des radiologues afin d'étudier l'impact de tatouage sur la qualité diagnostique des images tatouées<br>The rapid evolution of multimedia and communications technologies is emerging in the healthcare field by providing new means of sharing and remote access to patient data. This plays an important role in daily medical practice since it facilitates the care of patients and improves the management of medical information. In this context, the issue of data security is particularly sensitive, in terms of integrity, authenticity and traceability. Nowadays, the most existing security mechanisms, such as cryptographic techniques and access control, provide protection to prevent unauthorized users from accessing data content; images in ours case. However, they offer only an "a priori" protection; which means that the image is only protected before the access to its content is given. Digital watermarking has been proposed as a safety mechanism complementary to these "a priori" solutions. It provides a "posterior" protection, allowing the user to access the content of the image while keeping it protected by an imperceptible "mark". Indeed, in the case of images, the watermark modifies, or modulates, the pixels values in order to encode, or insert, a message (i.e. a mark). This message can be used to check the integrity of the image, its authenticity, or for traceability purposes. Because of the sensitivity of medical images content, imperceptibility is obviously the strongest constraint to consider for watermarking medical images. Indeed, changing the gray levels of the image may introduce a doubt about its validity.The research work carried out in this thesis falls within this context. The objective is to develop new watermarking methods, more appropriate to medical images, which preserve the quality of the image. We have proposed three original solutions, which take advantage of the acquisition noise inherent in radiographic images in order to mask a mark of the same power as the noise. In this manner, the image will be protected and the information, which is useful for the diagnosis, remains unchanged. The first solution aims to globally identify the noise in the image, based on denoising techniques. Afterwards, a mark is inserted, taken in consideration the noise distribution. Updating the mark in this solution may introduce new distortions. To overcome this problem, we have proposed a second solution, which improves our system by making it reversible. Moreover, the mark's extraction will be performed without any loss of data. Our third proposed solution relies on local noise modeling in radiographic images in the purpose of locally adapting the mark in the image. We are referring here to psychovisual masking. This type of watermarking was applied in the case of natural images only. A subjective validation protocol has been performed, in collaboration with radiologists, to study the impact of watermarking on the diagnostic quality of watermarked images

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Kunkel, Maria Elizete [Verfasser]. "A statistical approach to predict subject-specific morphometry of the human thoracic and lumbar spine from radiographic images / Maria Elizete Kunkel." Ulm : Universität Ulm. Medizinische Fakultät, 2012. http://d-nb.info/1019563273/34.

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Jorgenson, Todd F. "Comparison of two imaging modalities : F-speed film and digital images for detection of osseous defects in patients with vertical bone defects /." Oklahoma City : [s.n.], 2003.

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Books on the topic "Radiographic images"

1

Domanus, J. C. Recording Radiographic Images On Nitrocellulose Film In Neutron Radiography Of Nuclear Reactor Fuel. Riso National Laboratory, 1987.

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Wood, Robert E. Forensic radiographic identification using manipulated digital dental images. s.n.], 1996.

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Kengyelics, S. M. Technical evaluation of FUJI ST-VA computed radiography image plates under standard radiographic conditions. Edited by Cowen A. R, Medical Devices Agency, and Facility for the Assessment of X-ray Imaging at Leeds University. Department of Health, Medical Devices Agency, 1997.

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Borg, Eva. Some characteristics of solid-state and photo-stimulable phosphor detectors for intra-oral radiography. Department of Oral Diagnostic Radiology, Göteborg University, 1999.

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Unett, Elizabeth M., and Amanda J. Royle. Radiographic Techniques and Image Evaluation. Edited by Jo Campling. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-2997-6.

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Domanus, J. C. Assessment of radiographic image quality by visual examination of neutron radiographs of the calibration fuel pin. Riso National Laboratory, 1986.

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Barkhausen, Jörg. Digital breast tomosynthesis: Technique and cases. Thieme, 2016.

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Fauber, Terri L. Radiographic imaging and exposure. 2nd ed. Mosby, 2004.

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Hiss, Stephen S. Understanding radiography. 3rd ed. C.C. Thomas, 1993.

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Highnam, Ralph. Mammographic image analysis. Kluwer Academic Publishers, 1999.

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Book chapters on the topic "Radiographic images"

1

Sulcoski, M. F., and J. S. Brenizer. "Computed Neutron Tomography from Real-Time Radiographic Images." In Neutron Radiography. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3871-7_93.

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Barker, Marion D. "Laminographic Reconstruction from Real-Time Radiographic Images." In Review of Progress in Quantitative Nondestructive Evaluation. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0817-1_58.

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Sowmyalakshmi, R., M. R. Anantha Padmanaban, S. M. Girirajkumar, S. Benazir, and A. Farzana. "Multi-step Radiographic Segmentation of Weld Defect Images." In Lecture Notes on Multidisciplinary Industrial Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9433-2_36.

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Yoshida, Hiroyuki. "Wavelets for Computer-Aided Diagnosis in Radiographic Images." In Computational Imaging and Vision. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9715-9_14.

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Delfino, R. "Contrast Enhancement Algorithms with Application to Radiographic Images." In CAR ’87 Computer Assisted Radiology. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-95530-3_31.

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Gąciarz, Tomasz, Wadim Wojciechowski, and Zbisław Tabor. "Automated Assessment of Hallux Valgus in Radiographic Images." In VipIMAGE 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68195-5_68.

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Akheshteh, Vahid. "Differential Diagnosis of Radiographic Images of Maxillofacial Lesions." In Innovative Perspectives in Oral and Maxillofacial Surgery. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75750-2_48.

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Goumeidane, Aicha Baya, Abdessalem Bouzaieni, Nafaa Nacereddine, and Salvatore Tabbone. "Bayesian Networks-Based Defects Classes Discrimination in Weld Radiographic Images." In Computer Analysis of Images and Patterns. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23117-4_48.

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Harrar, K., and L. Hamami. "Implementation of the box-counting method in radiographic images." In Lecture Notes in Electrical Engineering. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-76483-2_26.

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Jain, Drishti, Adivya Jain, and Tej Singh. "A CNN Framework for COVID Identification Using Radiographic Images." In Studies in Smart Technologies. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-9132-3_18.

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Conference papers on the topic "Radiographic images"

1

Zhao, Zhen, Jinhai Liu, Zhaoyi Wang, Rui Li, Kuan Fu, and Fengyuan Zuo. "A Lightweight Network for Sign Detection on Radiographic Weld Images." In 2024 Second International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE). IEEE, 2024. http://dx.doi.org/10.1109/iccsie61360.2024.10698088.

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Laesanklang, Wasakorn, and Phonlapee Lohajareekul. "Detection of Viral Pneumonia in Radiographic Images Using Deep Learning." In 2024 5th International Conference on Artificial Intelligence and Data Sciences (AiDAS). IEEE, 2024. http://dx.doi.org/10.1109/aidas63860.2024.10730357.

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Yang, Hongxu, Najib A. M. Aboobacker, Xiaomeng Dong, German Gonzalez, Lehel Ferenczi, and Gopal Avinash. "Quality enhancement of radiographic x-ray images by interpretable mapping." In Physics of Medical Imaging, edited by John M. Sabol, Shiva Abbaszadeh, and Ke Li. SPIE, 2025. https://doi.org/10.1117/12.3046204.

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Manasa, G. R., P. S. Venugopala, G. Santhosh, and G. Umesh. "Detection Of Pulp Stones in Radiographic Images: Survey Using Artificial Intelligence." In 2024 International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC). IEEE, 2024. https://doi.org/10.1109/cosmic63293.2024.10871780.

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Edupuganti, Venkata Ramana, Sai Varun Penekalapati, and Kiran Kumar Namala. "Machine Learning Approach for Automatic Weld Defect Detection Using Radiographic Images." In 2024 2nd International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC). IEEE, 2024. https://doi.org/10.1109/icmacc62921.2024.10894473.

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Muthazhagu, Veera Harish, and Surendiran B. "Deep Learning-Based Osteoarthritis Severity Classification from Radiographic Images (X-Ray)." In 2024 2nd International Conference on Recent Advances in Information Technology for Sustainable Development (ICRAIS). IEEE, 2024. https://doi.org/10.1109/icrais62903.2024.10811701.

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Mori, Masako, Toshibumi Kashiwa, and Yoshimitsu Aoki. "Digital Image Evaluation Method for Digital Radiography." In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-29702.

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Digital radiography is getting one of the common radiographic testing techniques in various industries now. However, to apply this new technique to nuclear components radiographic testing, one big issue is how we can evaluate and ensure that the taken images have enough image qualities to be used as inspection record. In film radiography, the IQI, which stands for Image Quality Indicator, have been used to ensure that taken films have enough quality to detect any specified defects in the products. So in this paper, new alternative IQI that developed in our previous study for digital radiography to evaluate digital image quality are tested and evaluated. In addition, image evaluation criteria are also developed and evaluated by calculating MTF, which stands for Modulation Transfer Function, from the IQI images taken with the products. Finally, the recommended procedures to evaluate radiographic testing image are summarized.

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Mori, Masako, Toshibumi Kashiwa, and Yoshimitsu Aoki. "Digital Image Evaluation Method for Digital Radiography." In ASME 2010 Pressure Vessels and Piping Division/K-PVP Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/pvp2010-25264.

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Digital radiography is becoming one of the common radiographic testing techniques in various industries. However, to apply this new technique to nuclear components, one big issue is how to evaluate the images and ensure that the images have enough quality to be used as inspection record. In film radiography, the IQI, which stands for Image Quality Indicator, have been used to ensure that the films have enough quality to detect any specified defects in the products. In this paper, new alternative IQI that was developed in our previous study for digital radiography to evaluate digital image quality is tested and evaluated. In addition, new image evaluation criteria are also developed and evaluated by calculating MTF, which stands for Modulation Transfer Function, from the IQI images of the products. Finally, the recommended procedures to evaluate radiographic testing image are summarized.

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May, Cecil G., Lawrence F. Gelder, and Boyd D. Howard. "The Use of Digital Radiography in the Evaluation of Radioactive Materials Packaging Performance Testing." In ASME 2007 Pressure Vessels and Piping Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/pvp2007-26590.

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New designs of radioactive material shipping packages are required to be evaluated in accordance with 10 CFR Part 71, Packaging and Transportation of Radioactive Material. This paper will discuss the use of digital radiography to evaluate the effects of the tests required by 10 CFR 71.71, Normal Conditions of Transport (NCT), and 10 CFR 71.73, Hypothetical Accident Conditions (HAC). One acceptable means of evaluating packaging performance is to subject packagings to the series of NCT and HAC tests. The evaluation includes a determination of the effect on the packaging by the conditions and tests. Historically, that determination has required that packagings be cut and sectioned to learn the actual effects on internal components, either after each test to document the effects of that test, or after all testing is complete which determines the cumulative effect on the package. Digital radiography permits the examination of internal packaging components without sectioning a package. This allows a single package to be subjected to the entire series of tests. After each test, the package is digitally radiographed and the effects of particular tests evaluated. Radiography reduces the number of packages required for testing and also reduces labor and materials required to section and evaluate numerous packages. This paper will include a description of the digital radiography equipment used in the testing and evaluation of the 9977 package at SRNL. The equipment is capable of making a single radiograph of a full-sized package in one exposure. Radiographs will be compared to sectioned packages that show actual conditions compared to radiographic images.

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Jang, Ben K., and Roger S. Gaborski. "Image enhancement for computed radiographic images." In Medical Imaging 1995, edited by Murray H. Loew. SPIE, 1995. http://dx.doi.org/10.1117/12.208699.

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Reports on the topic "Radiographic images"

1

Light. L51572 Demonstration of Realtime Radiography on Pipeline Girth Welds. Pipeline Research Council International, Inc. (PRCI), 1988. http://dx.doi.org/10.55274/r0011315.

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Conventional radiography has been the accepted nondestructive testing (NDT) method used for many years to either accept or reject a field weld in the pipeline industry. However, conventional radiography requires the expense of film, developing chemicals, and manpower for film development. It also normally has a delay of 2 hours or more between when the weld was radiographed and when the radiographic film of the weld is available for interpretation. Over the last few years, a newer approach to performing radiographic testing, called real-time radiography, has been used in several different types of field inspection operations. The real-time radiography system forms the image with optical imaging in lieu of photographic film. The objectives of this project were to (1) Integrate various optimized real-time radiographic components (identified as a result of the previous project) into a field-usable, real-time-radiographic inspection (RTRI) system for single-wall inspection of pipeline girth welds and (2) Demonstrate the system in the field.

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Wakeford, Daniel. Automated estimation of the DARHT radiographic spot size from spatially modulated images. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1841885.

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Hoffman, Nelson, Joshua Sauppe, Brian Haines, Kevin Meaney, James Dowd, and Joseph Lavelle. Implosion simulations and optimum times of radiographic Images in OMEGA high-density-carbon cylinder experiments. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2439164.

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Tucker. L51728 Feasibility of a Pipeline Field Weld Real-Time Radiography (Radioscopy) Inspection System. Pipeline Research Council International, Inc. (PRCI), 1995. http://dx.doi.org/10.55274/r0010117.

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Inspection of pipeline field girth welds during pipeline construction is accomplished by film radiographic: methods. Film radiography of materials is a 70 year old technology. There have been many advances in that 70 year history in equipment and films, but the process of making the radiograph is essentially the same. The film radiography process is time-consuming, costly, environmentally impacting and very operator (inspector) dependent. There are recent and almost daily advances in technologies using x-ray imaging other than film. Double-jointed pipe welds at pipe mills and at double-joint operations have been inspected with stationary real-time radioscopic systems for many years. This electronic imaging technology, known as "�radioscopy"�, has the potential to significantly improve pipeline project schedules and cost by eliminating some of the shortcomings of film radiography. Radioscopy is currently accepted for use by many nationally accepted standards including API-SL, Specification for Line Pipe, and API-1104, Welding of Pipelines and Related Facilities. Most of the real-time systems in use today are fixed installations in pipe mills, foundries or fabrication shops. The ability to produce the required image sensitivity with real-time has been established by these fixed installations. These systems have proven to be very cost effective. In the course of conducting this study, QCC attended several conferences, including the International Society for Optical Engineering (SPIE) Conference in Boston, contacted several hundred potential vendors of radioscopic and radiographic equipment, witnessed demonstrations on existing radioscopic imaging systems and conducted several breadboard system demonstrations. The enclosed exhibit section contains a list of vendors that have products applicable to a radioscopic system.

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Nekoogar, F. Statement of Work Third Party Algorithm Development and Evaluation of Detection of Liquid Explosives in Dual-Energy Digital Radiographic/TIP Ready X-ray Images - Public Version. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/971793.

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Allard, Anthony, Edward Dugan, and Alan Jacobs. Image Processing Techniques for Lateral Migration Radiography Land Mine Images. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada384546.

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Brooks, G. R. Thickness record of varves from glacial Ojibway Lake recovered in sediment cores from Frederick House Lake, northeastern Ontario. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329275.

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The thicknesses of 384 rhythmic couplets were measured along a composite sequence of glacial Lake Ojibway glaciolacustrine deposits recovered in two sediment cores from Frederick House Lake, Ontario. The visual comparison of distinctive couplets in the CT-scan radiographs of the Frederick House core samples to photographs of core samples from Reid Lake show a match of ±1 varve number from v1656-v1902, and ±5 varve numbers between v1903-v2010, relative to the regional numbering of the Timiskaming varve series. There are two interpretations for the post-v2010 couplets that fall within the Connaught varve sequence of the regional series. In the first, the interpreted numbering spans from v2066-v2115, which produces a gap of 55 missing varves equivalent to v2011-v2065, and corresponds to the original interpretation of the Connaught varve numbering. The second spans v2011a-v2060a, and represents alternative (a) numbering for the same varves. Varve thickness data are listed in spreadsheet files (.xlsx and .csv formats), and CT-Scan radiograph images of core samples are laid out on a mosaic poster showing the interpreted varve numbering and between-core sample correlations of the varve couplets.

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Gribok, Andrei, and Douglas Porter. Data Mining – Image Analysis of Radiography for Zr Redistribution. Office of Scientific and Technical Information (OSTI), 2022. https://doi.org/10.2172/2557502.

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Adams, Jesse. Scalable block Gibbs sampling for image deblurring in X-ray radiography. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1756587.

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Adams, Jesse. Scalable block Gibbs sampling for image deblurring in X-ray radiography. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1756586.

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