Relevant bibliographies by topics / Chest - Radiography

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Chest - Radiography'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 February 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Chest - Radiography.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Chest - Radiography"

1

Vyborny, C., P. Bunch, H. Chotas, J. Dobbins, L. Niklason, and C. Schaefer-Prokop. "Image Quality in Chest Radiography: Abstract." Journal of the ICRU 3, no. 2 (July 2003): 13. http://dx.doi.org/10.1093/jicru_3.2.13.

Full text
Abstract:
Image quality in chest radiography is an important, but complex, subject. The complicated anatomy of the chest, as well as the various ways that chest disease may manifest itself, require careful consideration of radiographic technique. The manner in which human observers deal with the complexity of chest images adds further dimensions to image analysis that are not found in other radiography examinations. This report describes many issues that are related to the quality of chest radiographic images. In so doing, it relies upon the very extensive literature on this topic, a topic that has been one of the most thoroughly studied in all of radiography. Strategies that are generally agreed to improve the quality of chest radiographs are described, as are approaches to the assessment of image quality.
APA, Harvard, Vancouver, ISO, and other styles
2

Hayabuchi, N., W. J. Russell, and J. Murakami. "Problems in Radiographic Detection and Diagnosis of Lung Cancer." Acta Radiologica 30, no. 2 (March 1989): 163–67. http://dx.doi.org/10.1177/028418518903000209.

Full text
Abstract:
All chest radiographs of 107 proven lung cancer patients who received consecutive biennial chest radiography were reviewed to elucidate problems detecting their cancers, and diagnosing them when initially radiographically detected. Subjects, members of a fixed population sample, originally numbered 20000 persons, 17000 of whom consistently received consecutive biennial chest radiography during examinations for late effects of atomic-bomb radiation. Among the 107 subjects, 64 had radiographic manifestations of cancer; 47 were initially correctly diagnosed; 17 were not. Eleven of the 17 were initially equivocal, diagnosable only after subsequent radiography and retrospective review of serial radiographs. Diagnostic problems consisted of 1) six detection errors with cancer images superimposed on musculoskeletal and cardiovascular structures, reducible by stereoscopic p.a. instead of single p.a. radiography; immediate tentative interpretations; and by comparing earlier with current radiographs. 2) Eight decision errors, wherein cancers mimicked other diseases, were reducible by greater index of suspicion and scrutiny during interpretations.
APA, Harvard, Vancouver, ISO, and other styles
3

Kehler, M., U. Albrechtsson, B. Andersson, H. Lárusdóttir, A. Lundin, and H. Pettersson. "Assessment of Digital Chest Radiography Using Stimulable Phosphor." Acta Radiologica 30, no. 6 (November 1989): 581–86. http://dx.doi.org/10.1177/028418518903000603.

Full text
Abstract:
In this pilot study, conventional and digital radiography of the chest was compared in 170 patients. Two digitized radiographs, one frequency modified and one simulating the conventional film-screen combination, and the conventional films were reviewed independently by 5 radiologists with different experience. In spite of the smaller size and lower spatial resolution of the digitized compared with the conventional radiograph, only slight differences were revealed in the observation of different pulmonary and mediastinal changes. Digitized radiography is therefore considered suitable for chest examinations.
APA, Harvard, Vancouver, ISO, and other styles
4

Liu, Yunbi, Wei Yang, Guangnan She, Liming Zhong, Zhaoqiang Yun, Yang Chen, Ni Zhang, et al. "Soft Tissue/Bone Decomposition of Conventional Chest Radiographs Using Nonparametric Image Priors." Applied Bionics and Biomechanics 2019 (June 24, 2019): 1–17. http://dx.doi.org/10.1155/2019/9806464.

Full text
Abstract:
Background and Objective. When radiologists diagnose lung diseases in chest radiography, they can miss some lung nodules overlapped with ribs or clavicles. Dual-energy subtraction (DES) imaging performs well because it can produce soft tissue images, in which the bone components in chest radiography were almost suppressed but the visibility of nodules and lung vessels was still maintained. However, most routinely available X-ray machines do not possess the DES function. Thus, we presented a data-driven decomposition model to perform virtual DES function for decomposing a single conventional chest radiograph into soft tissue and bone images. Methods. For a given chest radiograph, similar chest radiographs with corresponding DES soft tissue and bone images are selected from the training database as exemplars for decomposition. The corresponding fields between the observed chest radiograph and the exemplars are solved by a hierarchically dense matching algorithm. Then, nonparametric priors of soft tissue and bone components are constructed by sampling image patches from the selected soft tissue and bone images according to the corresponding fields. Finally, these nonparametric priors are integrated into our decomposition model, the energy function of which is efficiently optimized by an iteratively reweighted least-squares scheme (IRLS). Results. The decomposition method is evaluated on a data set of posterior-anterior DES radiography (503 cases), as well as on the JSRT data set. The proposed method can produce soft tissue and bone images similar to those produced by the actual DES system. Conclusions. The proposed method can markedly reduce the visibility of bony structures in chest radiographs and shows potential to enhance diagnosis.
APA, Harvard, Vancouver, ISO, and other styles
5

Yu, Qian, Lifeng He, Tsuyoshi Nakamura, Yuyan Chao, and Kenji Suzuki. "A Mutual-Information-Based Global Matching Method for Chest-Radiography Temporal Subtraction." Journal of Advanced Computational Intelligence and Intelligent Informatics 16, no. 7 (November 20, 2012): 841–50. http://dx.doi.org/10.20965/jaciii.2012.p0841.

Full text
Abstract:
Lung cancer is the most common cancer in the world. Early detection is most important for reducing death due to lung cancer. Chest radiography has been widely and frequently used for the detection and diagnosis of lung cancer. To assess pathological changes in chest radiographs, radiologists often compare the previous chest radiograph and the current one from the same patient at different times. A temporal subtraction image, which is constructed from the previous and current radiographs, is often used to support this comparison work. This paper presents a Mutual-Information (MI)-based global matching method for chest-radiography temporal subtraction. We first make a preliminary transformation on the previous radiograph to make the center line of the lungs in the previous radiograph coincide with that of the current one. Then, we specify areas of the lungs to be used for mutual information registration and extract rib edges in these areas. We transform the rib edge image of the previous radiograph until mutual information between the rib edge image of the previous radiograph and that of the current radiograph becomes maximal. Finally, we use the same transform parameters to transform the previous radiograph, and then use the current radiograph and the transformed previous radiograph to construct the temporal subtraction image. The experimental result demonstrates that our proposed method can enhance pathological changes and reduces misregistration artifacts.
APA, Harvard, Vancouver, ISO, and other styles
6

McCollum, Eric D., Melissa M. Higdon, Nicholas S. S. Fancourt, Jack Sternal, William Checkley, John De Campo, and Anita Shet. "Training physicians in India to interpret pediatric chest radiographs according to World Health Organization research methodology." Pediatric Radiology 51, no. 8 (March 11, 2021): 1322–31. http://dx.doi.org/10.1007/s00247-021-04992-2.

Full text
Abstract:
Abstract Background Chest radiography is the standard for diagnosing pediatric lower respiratory infections in low-income and middle-income countries. A method for interpreting pediatric chest radiographs for research endpoints was recently updated by the World Health Organization (WHO) Chest Radiography in Epidemiological Studies project. Research in India required training local physicians to interpret chest radiographs following the WHO method. Objective To describe the methodology for training Indian physicians and evaluate the training’s effectiveness. Materials and methods Twenty-nine physicians (15 radiologists and 14 pediatricians) from India were trained by two WHO Chest Radiography in Epidemiological Studies members over 3 days in May 2019. Training materials were adapted from WHO Chest Radiography in Epidemiological Studies resources. Participants followed WHO methodology to interpret 60 unique chest radiographs before and after the training. Participants needed to correctly classify ≥80% of radiographs for primary endpoint pneumonia on the post-training test to be certified to interpret research images. We analyzed participant performance on both examinations. Results Twenty-six of 29 participants (89.7%) completed both examinations. The average score increased by 9.6% (95% confidence interval [CI] 5.0–14.1%) between examinations (P<0.001). Participants correctly classifying ≥80% of images for primary endpoint pneumonia increased from 69.2% (18/26) on the pretraining to 92.3% (24/26) on the post-training examination (P=0.003). The mean scores of radiologists and pediatricians on the post-training examination were not statistically different (P=0.43). Conclusion Our results demonstrate this training approach using revised WHO definitions and tools was successful, and that non-radiologists can learn to apply these methods as effectively as radiologists. Such capacity strengthening is important for enabling research to support national policy decision-making in these settings. We recommend future research incorporating WHO chest radiograph methodology to consider modelling trainings after this approach.
APA, Harvard, Vancouver, ISO, and other styles
7

Fatmawati, Heni, Zhafirah Rana Labibah, and Jauhar Firdaus. "The Relationship of Risk Factors and Comorbidity with Chest Radiography Features of COVID-19 Confirmed Patients." Journal Of The Indonesian Medical Association 72, no. 3 (August 30, 2022): 109–15. http://dx.doi.org/10.47830/jinma-vol.72.3-2022-629.

Full text
Abstract:
Introduction: COVID-19 is a worldwide health problem with a high mortality rate, especially in patients with risk factors. One type of examination to inspect the severity of COVID-19 patients is a chest radiograph. There is a lack of studies on chest radiography features in Indonesia. This study aims to observe the relationship between age, gender, and comorbid conditions with chest radiography features in COVID-19 confirmed.Method: This study was conducted at dr. Soebandi General Hospital uses a cross-sectional design with medical records as the instrument. Chest radiography examination was performed using BSTI classification. Meanwhile, data were analyzed using Chi-Square and contingency coefficient C.Result: The study included 173 patients: 52% were 40-59 years old, 36,4% were 20-39 years old, and 11,6% were ≥ 60 years old; 56,1% were female and 53,9% were male; 50,9% have comorbidities, with hypertension, diabetes, and COPD were the most type of comorbidities. About 48,6% sample had a normal chest radiograph, 27,7% had a mild severity, 17,3% had a moderate severity, and 6,4% had a severe severity. There was a correlation between age and comorbidity with chest radiography features. Otherwise, no correlation was found between sex and chest radiography features.Conclusion: Age and comorbidity were found as significant risk factors for the severity of chest radiograph in COVID-19 with a moderate correlation. However, no correlation was found between sex and chest radiography features.
APA, Harvard, Vancouver, ISO, and other styles
8

Suwal, Sundar, Surakshya Koirala, and Dinesh Chataut. "Evaluation of the Diagnostic Quality of Chest Radiographs." Nepalese Journal of Radiology 12, no. 1 (June 30, 2022): 13–17. http://dx.doi.org/10.3126/njr.v12i1.42266.

Full text
Abstract:
Introduction: With the advancement of conventional radiography to digital, digital radiography of the chest is commonly performed these days. The role and importance of diagnostic quality of radiographs are to help the radiologists and the clinicians in the diagnosis of diseases and their management, as well as to prevent the misdiagnosis of any pathology. This study was an attempt to quantify the diagnostic quality of chest radiographs by evaluating the quality of depiction of the anatomical details as well as other technical factors. Method: A total of 450 chest radiographs, produced at Tribhuvan University Teaching Hospital, were selected for study over two months period. Five image quality criteria i.e. anatomical coverage, rotation, adequate penetration, adequate inspiration, and scapula out of lung fields were evaluated and tabulated. Results: Out of the 450 radiographs taken for study, only 22.2% of the radiographs fulfilled all the image quality criteria, the rest 77.8% either lacked one or more of the quality criteria. Conclusion: Many technical factors affect the image quality of digital chest radiographs. However, the radiographer/technologist should always try to maintain adequate image quality of the radiographs.
APA, Harvard, Vancouver, ISO, and other styles
9

Kobes, Kevin J., Annemarie Budau-Bymoen, Yogesh Thakur, and Charlotte J. Yong-Hing. "Multidisciplinary Development of Mobile Radiography Guidelines Reduced the Number of Inappropriate Mobile Exams in Patients Receiving Chest Radiographs in British Columbia." Canadian Association of Radiologists Journal 71, no. 1 (January 27, 2020): 110–16. http://dx.doi.org/10.1177/0846537119888357.

Full text
Abstract:
Aim: To decrease the number of mobile chest radiograph requests for inpatients in British Columbia who are medically able to tolerate transport to the main department by introducing and implementing request criteria. Method: Concerns regarding inappropriate mobile exam requests in patients receiving chest radiography were surveyed at 28 medical imaging sites. In response, a multidisciplinary team composed a set of mobile radiography request guidelines incorporating feedback from all sites. These were successfully implemented along with in-person education to 21 sites. The number of adult annual mobile chest radiographs was tracked from 2014 to 2018, and informal feedback was obtained from participating sites. Results: The percentage of mobile chest radiographs of all chest radiographs performed between 2014 and 2018 decreased by 3.2%, while the total number of all chest radiographs performed during this time, including both departmental and mobile, increased by 1.9%. Sites reported positive engagement with the initiative and expressed need for ongoing education to optimize its effect. Conclusion: Implementation of request guidelines with in-person education helped to reduce inappropriate mobile exams in patients receiving chest radiographs in British Columbia between 2014 and 2018. These guidelines promote patient safety through reduced radiation exposure, empower radiographers to mitigate inappropriate requests, and help to optimize use of limited hospital resources by reducing inappropriate mobile exams where routine departmental exams are more suitable.
APA, Harvard, Vancouver, ISO, and other styles
10

Beam, Craig, and Daniel C. Sullivan. "Chest Radiography." Investigative Radiology 27, no. 4 (April 1992): 331. http://dx.doi.org/10.1097/00004424-199204000-00018.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Chest - Radiography"

1

Pascoal, Ana Isabel Lourenco. "Optimisation of image quality and patient dose for chest radiography with digital radiographic systems." Thesis, King's College London (University of London), 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438195.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Elhain, Ahmed M. S. B. "An investigation of the influence of radiographic malpositioning and image processing algorithm selection on ICU/CCU chest radiographs." Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/7342.

Full text
Abstract:
Mobile chest radiography remains the most appropriate test for critical care patients with cardiorespiratory changes and with patients who have chest tubes and lines as a monitoring tool, and to detect complications related to their use. However, one of the most frequent issues recognized radiographically with patients in critical care is chest tubes and lines malposition. This can be related to technical quality reasons which can affect their appearance in the chest radiography. This research considers how the technical quality of the ICU/CCU chest radiography can impact upon the appearance of chest tubes/lines and how that appearance can impact on the decision making. Results show that the methods used in the chest phantom experiment to estimate the degree of angulation have a large effect upon the appearance of anatomical structures, but it does not have a particularly large effect upon the apparent changes of tube/line position central venous catheter and endotracheal tube (CVC, ETT). The study also shows that there was a little difference between the two image processing algorithms, apart from the visualisation of sharp reproduction of the trachea and proximal bronchi, which was significantly better using the standard algorithm compared to the inverted algorithm. The two methods used to estimate the degree of angulation and the apparent position of the CVC/ETT on 17 mobile chest radiographs provide limited useful information to the image interpreter in estimating the degree of angulation and degree of malpositioning of the tube and line.
APA, Harvard, Vancouver, ISO, and other styles
3

SAKUMA, SADAYUKI, TAKEO ISHIGAKI, KENGO ITO, MITSURU IKEDA, and MITSUHIKO HIROSE. "Considerations for Standard Chest Radiography: the Long Film-Focus Distance Technique." Nagoya University School of Medicine, 1993. http://hdl.handle.net/2237/17529.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Monshi, Maram Mahmoud A. "Deep Learning in Chest Radiography: From Report Labeling to Image Classification." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/29716.

Full text
Abstract:
Chest X-ray (CXR) is the most common examination performed by a radiologist. Through CXR, radiologists must correctly and immediately diagnose a patient’s thorax to avoid the progression of life-threatening diseases. Not only are certified radiologists hard to find but also stress, fatigue, and lack of experience all contribute to the quality of an examination. As a result, providing a technique to aid radiologists in reading CXRs and a tool to help bridge the gap for communities without adequate access to radiological services would yield a huge advantage for patients and patient care. This thesis considers one essential task, CXR image classification, with Deep Learning (DL) technologies from the following three aspects: understanding the intersection of CXR interpretation and DL; extracting multiple image labels from radiology reports to facilitate the training of DL classifiers; and developing CXR classifiers using DL. First, we explain the core concepts and categorize the existing data and literature for researchers entering this field for ease of reference. Using CXRs and DL for medical image diagnosis is a relatively recent field of study because large, publicly available CXR datasets have not been around for very long. Second, we contribute to labeling large datasets with multi-label image annotations extracted from CXR reports. We describe the development of a DL-based report labeler named CXRlabeler, focusing on inductive sequential transfer learning. Lastly, we explain the design of three novel Convolutional Neural Network (CNN) classifiers, i.e., MultiViewModel, Xclassifier, and CovidXrayNet, for binary image classification, multi-label image classification, and multi-class image classification, respectively. This dissertation showcases significant progress in the field of automated CXR interpretation using DL; all source code used is publicly available. It provides methods and insights that can be applied to other medical image interpretation tasks.
APA, Harvard, Vancouver, ISO, and other styles
5

Al-Kabir, Zul Waker Mohammad. "A knowledge based system for diagnosis of lung diseases from chest x-ray images /." Canberra : University of Canberra, 2007. http://erl.canberra.edu.au/public/adt-AUC20070823.160921/index.html.

Full text
Abstract:
Thesis (PhD) -- University of Canberra, 2006.
Thesis submitted in fulfilment of the requirements for the degree of Master of Information Science in the School of Information Sciences and Engineering under the Division of Business, Law and Sciences at the University of Canberra, May 2006. Bibliography: leaves 120-132.
APA, Harvard, Vancouver, ISO, and other styles
6

Piqueras, Pardellans Joaquim. "Assessment of a micro-grid Ionization-chamber (EOS) for low-dose chest radiography." Doctoral thesis, Universitat Autònoma de Barcelona, 2016. http://hdl.handle.net/10803/378369.

Full text
Abstract:
EOS és una nova tecnologia d'imatge que fa servir un detector de radiació gasós, una cambra d'ionització de micro-reixeta, derivada del Micromegas desenvolupat per Georges Charpak (Premi Nobel 1992) per recerca en física d'altes energies al CERN (Ginebra, CH). Aquests detectors poden obtenir imatges mèdiques a baixa dosi, permetent col·limacions estrictes que eviten la radiació difusa que degrada dosi i qualitat. El prototip EOS, fent servir feixos de raigs-X molt fins (500 µm), va ser pensat per fer radiografia a baixa dosi de l'esquelet en bipedestació. Dissenyat amb dos tubs de raigs-X i dos detectors, realitza una adquisició per escanejat lineal biplanar sincrònica, de dues imatges (a 90º) del cos. Aquest mètode biplanar permet l'extracció automàtica de punts de referència anatòmics que poden ser matemàticament projectats com un model 3D de l'esquelet real del pacient. El programari EOS pot generar models 3D amb baixa dosi, entre 1/10 i 1/100, de les modalitats existents (radiografia computada (CR), radiografia digital (DR), o TC a baixa-dosi). L'objectiu principal de la recerca d'aquest prototip, la imatge de columna, va ser validat, i el seu subseqüent re-disseny industrial ha acabat com un dispositiu mèdic certificat per a estudis de l'esquelet: EOS ('EOS Imaging, Paris, France)'. Preparant la fase experimental de EOS en columna, un segon objectiu va ser considerat: valorar l'aplicabilitat del prototip EOS a l'exploració radiogràfica més freqüent: radiografia de tòrax. Si EOS fos validat, permetria aplicar-lo a un altre camp del radiodiagnòstic. La radiografia del tòrax és una prova que pot comportar algunes dificultats en un dispositiu voluminós, d'escanejat lineal, biplanar, amb baixa dosi i baixa resolució espacial, com són els detectors de micro-reixeta, a investigar. Material i mètodes: Es va preparar un estudi prospectiu comparant exploracions repetides entre EOS i un equip radiogràfic estat-de-l'art (DR, detector pla de aSi-Csi), per valorar l'aplicabilitat clínica, problemes tècnics, dosi i qualitat d'imatge. Un grup de 40 adults, amb radiografia de tòrax programada al Hôpital Univ. Erasme (Brussel·les, BE), van ser enrolats per a fer un estudi repetit amb EOS (amb 50% dosi de CR). Les imatges recollides van ser puntuades independentment per quatre radiòlegs seguint els 'European quality criteria in diagnostic imaging', incorporant reptes com valorar estructures anatòmiques fines. Es recolliren dades tècniques, estudis dosimètrics addicionals, comparatius amb CR, i mesura de dades de dosi i de rendiment del detector. Resultats: 37 dels 40 casos van ser analitzats. La radiografia va ser correcta amb EOS, amb 13,5% d'estudis repetits. La dosi de radiació es superior amb EOS (0.22 mGy) que amb DR (0.05) però menys que la DRL o dosi per CR. Artefactes de soroll i 'arrissat' redueixen la FTM (funció de transferència de la modulació) mesurada a 1-1.5 pl/mm. La puntuació en qualitat d'imatge entre EOS i DR va ser comparable, amb millor puntuació per a EOS en via aèria, mediastí o en cobertura anatòmica. Conclusió: EOS és una modalitat funcional que compleix les dosis de referència. La dosi és més alta que per DR i més baixa que per CR, per supressió de la radiació difusa. En qualitat d'imatge, EOS no mostra valoracions inferiors significants a la DR, fins i tot en estructures fines; pot atribuir-se a la resolució més gran de densitats i a l'absència de difusa que compensen la seva inferior resolució espacial. Caldrà fer desenvolupaments addicionals per millorar el control de la dosi i per millorar resolució, i caldrà fer recerca dirigida a validar resultats en sèries amb patologies clíniques.
The EOS is a new 2D/3D radio-imaging technology that uses a gaseous radiation detector and micro-grid ionization chamber derived from Micromegas, the micro-grid developed by the Nobel Prize winner Georges Charpak and extensively used in high-energy research (eg, CERN, Geneva, Switzerland). The detectors are very efficient and enable low-dose medical imaging by stringent collimation, which avoids the undesired scattered radiation that increases dose and degrades image quality. The EOS prototype uses very thin (500 µm) fan-like x-ray beams and was planned for low-dose standing radiography of the human skeleton. It has two x-ray tubes and two detectors that allow synchronous biplanar linear acquisition of two 90-degree images of the body. The biplanar method was designed for automatic extraction of anatomic reference points that can be mathematically projected as a 3D model of a patient's skeleton. EOS software can build 3D models using lower radiation doses (1/10 to 1/100) than existing systems (computed radiography [CR], digital radiography [DR], or low-dose CT). The main application of the prototype, spine imaging, has been validated, and the subsequent, re-designed industrial EOS (EOS Imaging, Paris, France) has attained certification for skeletal studies. While preparing the experimental phase of EOS for spine imaging, a second objective was considered: to assess applicability of the EOS prototype to another field of imaging, the chest x-ray, the most common radiologic exam. Chest x-rays could pose several difficulties for a large, linear-scanning, biplanar, low-dose and low-spatial-resolution technique, in this case micro-grid detectors, which would have to be investigated. Material and methods: A prospective study was designed to assess the clinical feasibility, technical problems, dose and image quality of EOS as compared to a state-of-the-art DR system, the aSi-CsI flat panel detector. Forty adult patients undergoing scheduled chest x-ray examinations at the Erasme University Hospital (Brussels, BE) were recruited for paired examinations using EOS (at 50% dose) and DR. Paired data and images were compiled. Image data sets were independently scored by 4 radiologists according to the European Quality Criteria in Diagnostic Imaging, with additional challenges, such as scoring of thin anatomical structures. The dosimetry data obtained were also compared to those of CR, and experimental laboratory data were compiled on collimation and detector performance. Results: 37 of 40 cases were available for complete analysis. EOS chest examinations were acquired with a 13,5% repeat rate. Radiation dose (PA) was higher for EOS (0.22 mGy) than with DX (0.05), but less than CR or reference doses (0.3 mGy). Noise and ripple artifacts lowered the MTF (Modulation Transfer Function) to 1-1.5 pl/mm. Image quality scores between EOS and DX were comparable, but with better scores for EOS in several items as air-ways, mediastinum or anatomic coverage. Conclusion: EOS is feasible for chest imaging and is compliant with the chest reference doses. Radiation dose was higher than with DR, but lower than with CR, achieved by suppressing scatter. EOS image quality scores were not significantly inferior from those of DR, even for thin structures, as the extended density resolution and absence of scatter of EOS compensated for the inferior spatial resolution. Further development is needed to reach better dose containment and improve resolution, with validation in patients having various clinical conditions.
APA, Harvard, Vancouver, ISO, and other styles
7

Kong, Xiang. "Optimization of image quality and minimization of radiation dose for chest computed radiography." Oklahoma City : [s.n.], 2006.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Zhang, Hui, and 張暉. "Temporal subtraction of chest radiograph using graph cuts and free-form deformations." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B40203451.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Rehm, Kelly. "Development and image quality assessment of a contrast-enhancement algorithm for display of digital chest radiographs." Diss., The University of Arizona, 1992. http://hdl.handle.net/10150/185844.

Full text
Abstract:
This dissertation presents a contrast-enhancement algorithm called Artifact-Suppressed Adaptive Histogram Equalization (ASAHE). This algorithm was developed as part of a larger effort to replace the film radiographs currently used in radiology departments with digital images. Among the expected benefits of digital radiology are improved image management and greater diagnostic accuracy. Film radiographs record X-ray transmission data at high spatial resolution, and a wide dynamic range of signal. Current digital radiography systems record an image at reduced spatial resolution and with coarse sampling of the available dynamic range. These reductions have a negative impact on diagnostic accuracy. The contrast-enhancement algorithm presented in this dissertation is designed to boost diagnostic accuracy of radiologists using digital images. The ASAHE algorithm is an extension of an earlier technique called Adaptive Histogram Equalization (AHE). The AHE algorithm is unsuitable for chest radiographs because it over-enhances noise, and introduces boundary artifacts. The modifications incorporated in ASAHE suppress the artifacts and allow processing of chest radiographs. This dissertation describes the psychophysical methods used to evaluate the effects of processing algorithms on human observer performance. An experiment conducted with anthropomorphic phantoms and simulated nodules showed the ASAHE algorithm to be superior for human detection of nodules when compared to a computed radiography system's algorithm that is in current use. An experiment conducted using clinical images demonstrating pneumothoraces (partial lung collapse) indicated no difference in human observer accuracy when ASAHE images were compared to computed radiography images, but greater ease of diagnosis when ASAHE images were used. These results provide evidence to suggest that Artifact-Suppressed Adaptive Histogram Equalization can be effective in increasing diagnostic accuracy and efficiency.
APA, Harvard, Vancouver, ISO, and other styles
10

ISHIGAKI, TAKEO, MITSUHIKO HIROSE, KIYOKO NAKAMURA, MITSURU IKEDA, KENGO ITO, and NICOLAS MILLA. "FUNDAMENTAL AND CLINICAL EVALUATION OF CHEST COMPUTED TOMOGRAPHY IMAGING IN DETECTABILITY OF PULMONARY NODULE." Nagoya University School of Medicine, 1994. http://hdl.handle.net/2237/16074.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Chest - Radiography"

1

Warren, Helen Marie. Optimisation of radiographic techniques for chest radiography. Birmingham: University of Birmingham, 1999.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Viamonte, Manuel. Errors in Chest Radiography. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-86643-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Errors in chest radiography. Berlin: Springer-Verlag, 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

S, White Charles, ed. Chest radiology companion. Philadelphia: Lippincott Williams & Wilkins, 1999.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ketai, Loren. Fundamentals of chest radiology. 2nd ed. Philadelphia: Saunders, 2006.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Loren, Ketai, and Lofgren Richard, eds. Fundamentals of chest radiology. Philadelphia: Saunders, 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Chest radiographic analysis. New York: Churchill Livingstone, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

1933-, Bragg David G., ed. Chest radiology. Chicago: Year Book Medical Publishers, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Melissa L. Rosado de Christenson. Diagnostic imaging: Chest. 2nd ed. Salt Lake City, Utah: Amirsys, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Miriam, Sperber, ed. Radiologic diagnosis of chest disease. New York: Springer-Verlag, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Chest - Radiography"

1

Takashima, Tsutomu. "Chest." In Computed Radiography, 51–62. Tokyo: Springer Japan, 1987. http://dx.doi.org/10.1007/978-4-431-66884-8_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Joarde, Rita, and Neil Crundwell. "Chest Radiography." In Chest X-Ray in Clinical Practice, 3–13. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-099-9_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Westra, D. "Conventional Chest Radiography." In Radiologic Diagnosis of Chest Disease, 39–59. New York, NY: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4684-0347-3_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Westra, D., and M. Sperber. "Conventional Chest Radiography." In Radiologic Diagnosis of Chest Disease, 37–55. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0693-7_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Viamonte, Manuel. "Errors in Chest Radiology." In Errors in Chest Radiography, 7–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-86643-2_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Viamonte, Manuel. "Introduction." In Errors in Chest Radiography, 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-86643-2_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Viamonte, Manuel. "Technical Aspects." In Errors in Chest Radiography, 3–6. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-86643-2_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Thomas, R. Glyn. "Radiography of Occupational Chest Diseases." In Radiology of Occupational Chest Disease, 1–7. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3574-3_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Sorenson, James A., and Loren T. Niklason. "Scattered Radiation in Chest Radiography." In Progress in Medical Imaging, 159–84. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3866-9_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Pettersson, H. "Digital Skeletal Radiography." In Chest, Musculoskeleton, G.I. and Abdomen, Urinary Tract, 51–54. Milano: Springer Milan, 1996. http://dx.doi.org/10.1007/978-88-470-2225-6_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Chest - Radiography"

1

Pham, Theresa, Grace Zhu, Soham Banerjee, and William F. Auffermann. "High volume chest radiography to facilitate pulmonary nodule identification on chest radiographs." In Image Perception, Observer Performance, and Technology Assessment, edited by Claudia R. Mello-Thoms and Sian Taylor-Phillips. SPIE, 2022. http://dx.doi.org/10.1117/12.2611285.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Min-Hsin Huang, Zih-Yun Ting, and Shu-Mei Guo. "Carina detection on chest radiography." In 2013 1st International Conference on Orange Technologies (ICOT 2013). IEEE, 2013. http://dx.doi.org/10.1109/icot.2013.6521174.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Ahmed, M. K., and M. N. Mohamed. "Could Bedside Chest Ultrasonography Replace Traditional Chest Radiography in Chest Outpatient Clinic?" In American Thoracic Society 2020 International Conference, May 15-20, 2020 - Philadelphia, PA. American Thoracic Society, 2020. http://dx.doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a6850.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Mitchell, Christopher R., and James A. Sorenson. "Digital Image Processing In Chest Radiography." In Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems (PACS IV) for Medical Applications, edited by Samuel J. Dwyer III and Roger H. Schneider. SPIE, 1986. http://dx.doi.org/10.1117/12.975401.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ogden, Kent, Ernest Scalzetti, Walter Huda, Jasjeet Saluja, and Robert Lavallee. "Contrast-detail curves in chest radiography." In Medical Imaging, edited by Miguel P. Eckstein and Yulei Jiang. SPIE, 2005. http://dx.doi.org/10.1117/12.595578.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Morioka, Craig, Kathy Brown, Alek Hayrapetian, Hooshang Kangarloo, S. Balter, and H. K. Huang. "ROC Analysis of Chest Radiographs Using Computed Radiography and Conventional Analog Films." In 1989 Medical Imaging, edited by Samuel J. Dwyer III, R. Gilbert Jost, and Roger H. Schneider. SPIE, 1989. http://dx.doi.org/10.1117/12.976450.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Gould, Robert G., Bruce H. Hasegawa, Sherman E. DeForest, Gregory W. Schmidt, and Richard G. Hier. "Optical compensation device for chest film radiography." In Medical Imaging '90, Newport Beach, 4-9 Feb 90, edited by Murray H. Loew. SPIE, 1990. http://dx.doi.org/10.1117/12.18917.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Pedrosa, João, Guilherme Aresta, Carlos Ferreira, Ana Mendonça, and Aurélio Campilho. "Automatic Label Detection in Chest Radiography Images." In 9th International Conference on Bioimaging. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0010888100003123.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Melson, David L., and Richard M. Slone. "Comparison of hard and soft copy viewing of computed radiography portable chest radiographs." In Medical Imaging 1997, edited by Steven C. Horii and G. James Blaine. SPIE, 1997. http://dx.doi.org/10.1117/12.274587.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Iqbal, N. "Automatic enhancement of chest radiography using-Retinex processing." In International Multi Topic Conference, 2002. Abstracts. INMIC 2002. IEEE, 2002. http://dx.doi.org/10.1109/inmic.2002.1310112.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Chest - Radiography"

1

Application of the ILO International Classification of Radiographs of Pneumoconioses to digital chest radiographic images: a NIOSH scientific workshop, March 12-13, 2008, Washington, DC, USA. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, July 2008. http://dx.doi.org/10.26616/nioshpub2008139.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Chest - Radiography' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography