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Journal articles on the topic 'Computed tomography images'

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1

Kenzaka, Tsuneaki, and Koichi Takeda. "Computed Tomography Images of Rhabdomyolysis." Internal Medicine 52, no. 15 (2013): 1761. http://dx.doi.org/10.2169/internalmedicine.52.0688.

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Schuijf, Joanne D., Lucia J. Kroft, Albert de Roos, and Jeroen J. Bax. "Classic Images: Cardiac Computed Tomography." Current Problems in Cardiology 34, no. 6 (2009): 277–95. http://dx.doi.org/10.1016/j.cpcardiol.2009.01.004.

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Woodworth, B. A., A. G. Chiu, N. A. Cohen, D. W. Kennedy, B. W. O'Malley, and J. N. Palmer. "Real-time computed tomography image update for endoscopic skull base surgery." Journal of Laryngology & Otology 122, no. 4 (2007): 361–65. http://dx.doi.org/10.1017/s0022215107000485.

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AbstractIntroduction:The development of computer-aided systems for endoscopic sinus surgery has enabled surgical navigation through diseased or surgically altered sinus anatomy with increased confidence. However, conventional computer-aided systems do not provide intra-operative updated computed tomography imaging. We describe the technical aspects of the xCAT™, a new intra-operative mobile volume computed tomography scanner.Technical report:A patient with a malignant melanoma unwittingly removed at another hospital underwent surgery for removal of the lateral nasal wall and directed biopsies,
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Schneider, Sonja Jasmin Maria, Christian Höhne, Martin Schneider, and Marc Schmitter. "Photoacoustic tomography versus cone-beam computed tomography versus micro-computed tomography: Accuracy of 3D reconstructions of human teeth." PLOS ONE 17, no. 12 (2022): e0274818. http://dx.doi.org/10.1371/journal.pone.0274818.

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Objectives In this in-vitro study, teeth were imaged using photoacoustic tomography (PAT), cone-beam computed tomography (CBCT), and micro-computed tomography (μ-CT). The study had aim: to identify the best wavelength for PAT images to determine the accuracy of the three imaging methods, and to determine whether PAT images of teeth can achieve acceptable reconstruction quality. Methods Nineteen human mandibular single-rooted incisors were extracted from patients with trauma or periodontitis. To determine the best wavelength for acquiring photoacoustic images, all 19 teeth were scanned in vitro
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Lin, Tao, Xinye Ni, Liugang Gao, Jianfeng Sui, Kai Xie, and Shuquan Chang. "Evaluation of the Effect of a Tracheal Stent on Radiation Dose Distribution via Micro-CT Imaging." Technology in Cancer Research & Treatment 18 (January 1, 2019): 153303381984448. http://dx.doi.org/10.1177/1533033819844485.

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Purpose: To study the effect of a metal tracheal stent on radiation dose distribution. Method: A metal tube bracket is placed in a self-made foam tube sleeve, and micro-computed tomography scanning is performed directly. The foam sleeve containing the metal bracket is placed in a nonuniform phantom for a routine computed tomography scan. The stents in conventional computed tomography images are replaced by the stents in micro-computed tomography images. Subsequently, 2 sets of computed tomography images are obtained and then imported to a radiotherapy treatment planning system. A single photon
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Zhang, Yun, Sheng-gou Ding, Xiao-chang Gong, et al. "Generating synthesized computed tomography from CBCT using a conditional generative adversarial network for head and neck cancer patients." Technology in Cancer Research & Treatment 21 (January 2022): 153303382210853. http://dx.doi.org/10.1177/15330338221085358.

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Purpose: To overcome the imaging artifacts and Hounsfield unit inaccuracy limitations of cone-beam computed tomography, a conditional generative adversarial network is proposed to synthesize high-quality computed tomography-like images from cone-beam computed tomography images. Methods: A total of 120 paired cone-beam computed tomography and computed tomography scans of patients with head and neck cancer who were treated during January 2019 and December 2020 retrospectively collected; the scans of 90 patients were assembled into training and validation datasets, and the scans of 30 patients we
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Agarwal, Shvetank, William B. Bates, and Manuel R. Castresana. "Images in Anesthesiology: Endoluminal Computed Tomography." Anesthesiology 121, no. 1 (2014): 170. http://dx.doi.org/10.1097/aln.0000000000000136.

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Ilyas, Mohd, TameemAhmad Bhat, KifayatHussain Ganaie, and Tariq Gojwari. "Abdominal cocoon: Classic computed tomography images." CHRISMED Journal of Health and Research 5, no. 3 (2018): 242. http://dx.doi.org/10.4103/cjhr.cjhr_20_18.

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Lechanoine, François, Mykyta Smirnov, Giulia Armani-Franceschi, et al. "Stereoscopic Images from Computed Tomography Angiograms." World Neurosurgery 128 (August 2019): 259–67. http://dx.doi.org/10.1016/j.wneu.2019.04.257.

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Kawamoto, Nobutaka, Riki Okita, Masanori Okada, Masataro Hayashi, and Hidetoshi Inokawa. "Computed tomography images and surgical procedure." ASVIDE 11 (January 2024): 321. http://dx.doi.org/10.21037/asvide.2023.321.

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Kot, Estera, and Krzysztof Siwek. "Segmentation of brain biomedical images to compute the volume of gliomas." ITM Web of Conferences 28 (2019): 01016. http://dx.doi.org/10.1051/itmconf/20192801016.

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The paper presents an algorithm of segmentation of brain imaging examination results − computed tomography (CT) and positron emission tomography (PET) − to identify, compute, and visualize the brain tumors. Computer software was developed in the MATLAB environment using active contour methods: Edge and Chan-Vese. A review of the current treatment plan for patients with diagnosed glioblastoma multiforme was included to emphasize the significance of the solved problem. The work presents executed steps in the algorithm with a detailed description of thresholding process. Visual results of tumors
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SCHNEIDER, G., E. ANDERSON, S. VOGT, et al. "COMPUTED TOMOGRAPHY OF CRYOGENIC CELLS." Surface Review and Letters 09, no. 01 (2002): 177–83. http://dx.doi.org/10.1142/s0218625x02001914.

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Soft X-ray microscopy has resolved 30 nm structures in biological cells. To protect the cells from radiation damage caused by X-rays, imaging of the samples has to be performed at cryogenic temperatures, which makes it possible to take multiple images of a single cell. Due to the small numerical aperture of zone plates, X-ray objectives have a depth of focus on the order of several microns. By treating the X-ray microscopic images as projections of the sample absorption, computed tomography (CT) can be performed. Since cryogenic biological samples are resistant to radiation damage, it is possi
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G., Deepa, and Shrikrishna B.H. "Morphometric Study of Human Adult Orbit Using Computed Tomography Images." Indian Journal of Anatomy 6, no. 3 (2017): 290–92. http://dx.doi.org/10.21088/ija.2320.0022.6317.6.

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14

Webb, J. A. C., and D. H. Noblett. "Real-time ‘computer-evaded’ pseudo-holography of computed tomography images." Medical Informatics 14, no. 2 (1989): 123–34. http://dx.doi.org/10.3109/14639238908994985.

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15

Chang, Chin-Chen, Hong-Hao Chen, Yeun-Chung Chang, et al. "Computer-aided diagnosis of liver tumors on computed tomography images." Computer Methods and Programs in Biomedicine 145 (July 2017): 45–51. http://dx.doi.org/10.1016/j.cmpb.2017.04.008.

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Wang, Rui, Jifeng Zhang, Dongxue Wang, Funing Yang, and Ping Li. "Clinical value of 18F-fluorodeoxyglucose positron emission tomography/computed tomography combined with computed tomography angiography in large-vessel vasculitis." Radiology of Infectious Diseases 10, no. 4 (2023): 148–59. http://dx.doi.org/10.4103/rid.rid-d-23-00009.

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Abstract OBJECTIVES: The objectives of this study were to investigate the clinical application of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) combined with CT angiography (CTA) fusion images at diagnosis and assessment in large-vessel vasculitis (LVV). MATERIALS AND METHODS: Forty-six patients with LVV who underwent both 18F-FDG-PET/CT and CTA procedures were studied in the Second Hospital of Harbin Medical University from September 2019 to June 2022, and the clinical disease activity of patients was judged by the Physician Global Assessment. Clinic
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Kim, J. H., S. S. Kwon, S. J. Moon, et al. "Reliability of classification of ring and little finger carpometacarpal joint fracture subluxations: a comparison between two-dimensional computed tomography and three-dimensional computed tomography classifications." Journal of Hand Surgery (European Volume) 41, no. 4 (2015): 448–52. http://dx.doi.org/10.1177/1753193415602589.

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The aims of this study were to develop a classification for ring and little finger carpometacarpal joint fracture subluxations based on three-dimensional computed tomography images and evaluate the inter- and intraobserver reliability of the three-dimensional computed tomography classification. A retrospective review was performed of 30 cases of ring and little finger carpometacarpal joint fracture subluxations from 2005 to 2013. We classified ring and little finger carpometacarpal joint fracture subluxations into three types based on three-dimensional computed tomography images. An orthopaedi
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Kim, Seung Kwon, Jae Hoon Lim, Won Jae Lee, et al. "Detection of Hepatocellular Carcinoma: Comparison of Dynamic Three-Phase Computed Tomography Images and Four-Phase Computed Tomography Images Using Multidetector Row Helical Computed Tomography." Journal of Computer Assisted Tomography 26, no. 5 (2002): 691–98. http://dx.doi.org/10.1097/00004728-200209000-00005.

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19

Inoue, Yusuke, Mizuho Adachi, Hirokazu Shimizu, et al. "SUBOPTIMAL MODULATION OF RADIATION DOSE IN THE COMPUTED TOMOGRAPHY COMPONENT OF WHOLE-BODY POSITRON EMISSION TOMOGRAPHY/COMPUTED TOMOGRAPHY." Radiation Protection Dosimetry 192, no. 1 (2020): 69–74. http://dx.doi.org/10.1093/rpd/ncaa197.

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Abstract Radiation exposure in computed tomography (CT) is automatically modulated by automatic exposure control (AEC) mainly based on scout images. To simulate the whole-body positron emission tomography/CT, CT images of a phantom were obtained using the posteroanterior scout image alone (PA scout) or the posteroanterior and lateral images (PA + Lat scout). Old and new versions of the AEC software were compared. Using the old version of the software and the PA scout, a markedly high dose at the top of the head was observed, which varied depending on the position of the phantom. This issue was
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Wang, Wei, Ting Yu, Min Xu, Qian Shao, Yingjie Zhang, and Jianbin Li. "Setup Error Assessment and Correction in Planar kV Image- Versus Cone Beam CT Image-Guided Radiation Therapy: A Clinical Study of Early Breast Cancer Treated With External Beam Partial Breast Irradiation." Technology in Cancer Research & Treatment 18 (January 1, 2019): 153303381985384. http://dx.doi.org/10.1177/1533033819853847.

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Objective: To compare differences in setup error assessment and correction between planar kilovolt images and cone beam computed tomography images for external beam partial breast irradiation during free breathing. Methods: Nineteen patients who received external beam partial breast irradiation after breast-conserving surgery were recruited. Interfraction setup error was acquired using planar kilovolt images and cone beam computed tomography. After online setup correction, the residual error was calculated, and the setup error was compared. The residual error and setup margin were quantified f
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Silva, Lucas Antônio de Carvalho e., Sáthyla Lander Cândida Marques, Alexandre Meireles Borba, and Ivan Onone Gialain. "Prevalence of pneumatized articular eminence of the temporal bone on panoramic and tomographic images: scoping review." Concilium 24, no. 6 (2024): 571–85. http://dx.doi.org/10.53660/clm-3102-24f03.

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Pneumatization of structures can be a significant risk factor during surgical precudures. The aim of the present scoping review was to evaluate the prevalence of pneumatized articular eminence of the temporal bone on panoramic radiograph and computed tomography images. A search was performed of the following databases: Medline/Pubmed, SciELO, LILACS and Scopus. Prevalence papers with use of radiographic or tomographic images. Papers from any language were included, published up to February 2024. Among the 54 selected papers, a total sample of 75015 patients was considered. The pooled prevalati
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Vermelho, Marli Batista Fernandes, Ademir Silva Correia, Tânia Cibele de Almeida Michailowsky, et al. "Abdominal alterations in disseminated paracoccidioidomycosis: computed tomography findings." Radiologia Brasileira 48, no. 2 (2015): 81–85. http://dx.doi.org/10.1590/0100-3984.2013.0025.

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Objective:To evaluate the incidence and spectrum of abdominal computed tomography imaging findings in patients with paracoccidioidomycosis.Materials and Methods:Retrospective analysis of abdominal computed tomography images of 26 patients with disseminated paracoccidioidomycosis.Results:Abnormal abdominal tomographic findings were observed in 18 patients (69.2%), while no significant finding was observed in the other 8 (30.8%) patients.Conclusion:Computed tomography has demonstrated to play a relevant role in the screening and detection of abdominal abnormalities in patients with disseminated
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23

Oliver, Jasmine A., Mikalai Budzevich, Dylan Hunt, et al. "Sensitivity of Image Features to Noise in Conventional and Respiratory-Gated PET/CT Images of Lung Cancer: Uncorrelated Noise Effects." Technology in Cancer Research & Treatment 16, no. 5 (2016): 595–608. http://dx.doi.org/10.1177/1533034616661852.

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The effect of noise on image features has yet to be studied in depth. Our objective was to explore how significantly image features are affected by the addition of uncorrelated noise to an image. The signal-to-noise ratio and noise power spectrum were calculated for a positron emission tomography/computed tomography scanner using a Ge-68 phantom. The conventional and respiratory-gated positron emission tomography/computed tomography images of 31 patients with lung cancer were retrospectively examined. Multiple sets of noise images were created for each original image by adding Gaussian noise o
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Skirnevskiy, Igor, and Aleksandr Korovin. "Optimal Methods of Segmentation of Tomographic Volume Searching System: A Preliminary Review." Key Engineering Materials 685 (February 2016): 857–62. http://dx.doi.org/10.4028/www.scientific.net/kem.685.857.

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Recent research studies in the sphere of computer tomography are connected with the task of image analysis. Due to the fact that computed tomography images include artifacts, low contrast and different types of noises, researchers have to deal with a wide range of problems during the processing. There is a wide variety of preliminary processing methods which allow solving these problems. Obviously, the choice of these methods has a major impact on the result [1]. However, algorithm analysis of computed tomography images is not considered in the literature nowadays. This work presents an overvi
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Tymofieiev, O., N. Ushko, S. Maksymcha, et al. "Computer tomography of the facial skull." SUCHASNA STOMATOLOHIYA 118, no. 1 (2024): 77. http://dx.doi.org/10.33295/1992-576x-2024-1-77.

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Purpose: to present the Х-ray anatomy of the facial skull bones of healthy people in computed tomography images. Methods: computed tomography of facial skull bones. Results. The article presents the anatomy of the facial skull bones of healthy people in the images that were obtained during computed tomography. Conclusions. Knowledge of the X-ray anatomy of the facial skull bones allows to correctly interpret the results of computed tomography during diagnosis and differential diagnosis of maxillofacial pathology. Key words: upper jaw, lower jaw, zygomatic bone, facial skull, computed tomograph
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Cavalcanti, M. G., J. Yang, A. Ruprecht, and M. W. Vannier. "Validation of spiral computed tomography for dental implants." Dentomaxillofacial Radiology 27, no. 6 (1998): 329–33. http://dx.doi.org/10.1038/sj/dmfr/4600386.

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OBJECTIVES To investigate the accuracy of 2DCT orthoradial reformatted images from spiral computed tomography (CT) for pre-surgical planning of dental implants in proximity to the mental foramen. METHODS Eight cadaver heads were imaged by spiral CT (S/Xpress, Toshiba-America, Tustin, CA) with 1 mm thick axial slices by 1 mm/sec of table feed. The image data set was transferred to a networked computer workstation. Using computer graphics the data was analysed with 2D orthoradial reformatting using the ToothPix (Cemax, Fremont, CA, USA) protocol. Linear measurements were made by two oral radiolo
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Derepa, D., V. Dishlyuk, and M. Polyakova. "NOISE REDUCTION OF LUNGS COMPUTED TOMOGRAPHY IMAGES." ELECTRICAL AND COMPUTER SYSTEMS 31, no. 107 (2019): 80–86. http://dx.doi.org/10.15276/eltecs.31.107.2019.7.

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SHIRAISHI, JUNJI, MITSUJI HIGASHIDA, and KAZUYOSHI TSUDA. "312. ROC Analyses Using Computed Tomography Images." Japanese Journal of Radiological Technology 46, no. 8 (1990): 1284. http://dx.doi.org/10.6009/jjrt.kj00003322435.

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Dam-Hieu, Phong, Victor Rodriguez, Yannick de Cazes, and Bertrand Quinio. "Computed Tomography Images of Entrapped Epidural Catheter." Regional Anesthesia and Pain Medicine 27, no. 5 (2002): 517–19. http://dx.doi.org/10.1097/00115550-200209000-00015.

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DAMHIEU, P., V. RODRIGUEZ, Y. DECAZES, and B. QUINIO. "Computed tomography images of entrapped epidural catheter." Regional Anesthesia and Pain Medicine 27, no. 5 (2002): 517–19. http://dx.doi.org/10.1053/rapm.2002.35146.

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Bruzzi, M., C. Civinini, M. Scaringella, et al. "Proton computed tomography images with algebraic reconstruction." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 845 (February 2017): 652–55. http://dx.doi.org/10.1016/j.nima.2016.05.056.

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Huérfano, Y., M. Vera, M. I. Vera, O. Valbuena, E. Gelvez-Almeida, and J. Salazar-Torres. "Pulmonary adenocarcinoma characterization using computed tomography images." Journal of Physics: Conference Series 1408 (November 2019): 012004. http://dx.doi.org/10.1088/1742-6596/1408/1/012004.

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Hull, M. E. C., R. J. Millar, and J. H. Frazer. "Octree-based modelling of computed-tomography images." IEE Proceedings I Communications, Speech and Vision 137, no. 3 (1990): 118. http://dx.doi.org/10.1049/ip-i-2.1990.0017.

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Attallah, Omneya. "A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images." DIGITAL HEALTH 8 (January 2022): 205520762210925. http://dx.doi.org/10.1177/20552076221092543.

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The accurate and rapid detection of the novel coronavirus infection, coronavirus is very important to prevent the fast spread of such disease. Thus, reducing negative effects that influenced many industrial sectors, especially healthcare. Artificial intelligence techniques in particular deep learning could help in the fast and precise diagnosis of coronavirus from computed tomography images. Most artificial intelligence-based studies used the original computed tomography images to build their models; however, the integration of texture-based radiomics images and deep learning techniques could
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H.Shakah, Ghazi. "The problem of image segmentation and de-noising methods and various approaches to its solution." International Journal of Engineering & Technology 7, no. 4 (2019): 5297–301. http://dx.doi.org/10.14419/ijet.v7i4.28039.

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Image segmentation and de-noising are required to be used in digital image processing according to the recent since researches in this field, At present image de-noising and segmentation take part in real-world applications such as medical fields, computer vision, computer graphic, satellite, magnetic resonance imaging, computed tomography, single photon emission and computed tomography etc. These two methods are used for different images but mainly focus on medical images. In this paper provides an overview of the main classes of methods for segmentation of images, analysis of the effectivene
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Sagar V and Akshatha Prabhu. "Diagnosis of lung carcinoma using computed tomography images." International Journal of Research in Pharmaceutical Sciences 10, no. 4 (2019): 2716–26. http://dx.doi.org/10.26452/ijrps.v10i4.1535.

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Lung carcinoma disease is a serious leading death every day. Early recognition and treatment can save cancer affected the human’s life. Lung carcinoma is the most hazardous and dangerous disease. Computed Tomography scanning images are the most commonly using scanning technology in the health care industry, Computed Tomography scan images are used by doctors to analyze and identify the cancerous lesion present in the lung CT scanned images. The CAD system is a powerful tool for the radiologist to diagnosis the lesion cells in an accurate way. Computer-aided techniques and machine learning tech
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Uchizawa, Takamitsu. "Minute changes of cerebral parenchymal non-contrast computed tomography attenuation reflect cerebral volume alterations of blood." Neuroradiology Journal 34, no. 4 (2021): 341–47. http://dx.doi.org/10.1177/1971400921998981.

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Aims Non-infarcted acute cerebral ischaemic areas appear hypo-attenuated on non-contrast narrow-window computed tomography images. We aimed to determine the mechanism underlying minute computed tomography hypo-attenuation and visualise these attenuation changes on non-contrast computed tomography images. Methods The cerebral parenchyma was defined by pixels with attenuation of 20–50 Hounsfield units. We calculated the mean cerebral parenchymal attenuation in non-contrast computed tomography images. We analysed the correlation of complete blood counts with corresponding mean cerebral parenchyma
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Smorthit, Kelly, Jonathan Sandler, and Catherine Brierley. "Tips for viewing and interpreting cone beam computed tomography radiographs in orthodontics." Orthodontic Update 17, no. 1 (2024): 33–35. http://dx.doi.org/10.12968/ortu.2024.17.1.33.

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Cone beam computed tomographic imaging has increasingly become an important adjunct to our diagnostic toolbox in orthodontics. This article provides some practical tips to clinicians for the viewing and interpretation of cone beam computed tomography in orthodontics, particularly in relation to root resorption. CPD/Clinical relevance: This article informs the orthodontic team on the applications of cone beam computed tomography and provides practice tips for viewing and interpreting images in practice, with particular regard to root resorption.
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C, Vinod, and Menaka D. "Computer Aided Detection of Nodule from Computed Tomography Images of Lung." International Research Journal on Advanced Science Hub 3, Special Issue ICARD 3S (2021): 96–100. http://dx.doi.org/10.47392/irjash.2021.073.

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Sethi, Gaurav, and Barjinder S. Saini. "Computer aided diagnosis system for abdomen diseases in computed tomography images." Biocybernetics and Biomedical Engineering 36, no. 1 (2016): 42–55. http://dx.doi.org/10.1016/j.bbe.2015.10.008.

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McDonald, Matthew, Robert Cooper, and Michael Y. Wang. "Use of computed tomography–single-photon emission computed tomography fusion for diagnosing painful facet arthropathy." Neurosurgical Focus 22, no. 1 (2007): 1–4. http://dx.doi.org/10.3171/foc.2007.22.1.2.

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✓Facet disease is believed to play a major role in axial low-back pain and may prove in the future to be an important indication for posterior dynamic stabilization. However, the lack of good diagnostic tests and imaging methods for identifying this condition have made this entity obscure. Although single-photon emission computed tomography (SPECT) imaging is a highly sensitive and specific test, the images frequently lack adequate resolution, whereas computed tomography (CT) provides excellent resolution but lacks specificity. Thirty-seven patients with back pain clinically attributable to fa
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Hall, A., D. St Leger, A. Singh, and R. K. Lingam. "The utility of computed tomography and diffusion-weighted magnetic resonance imaging fusion in cholesteatoma: illustration with a UK case series." Journal of Laryngology & Otology 134, no. 2 (2020): 178–83. http://dx.doi.org/10.1017/s0022215119002640.

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AbstractObjectivePost-processing imaging techniques allow high-resolution computed tomography and diffusion-weighted magnetic resonance imaging of the temporal bone to be superimposed and viewed simultaneously (fusion imaging). This study aimed to highlight the practical utility of fusion imaging for disease localisation and evaluation in a UK case series of primary and post-operative cholesteatoma.MethodFusion of computed tomography and diffusion-weighted magnetic resonance b1000 images was performed using specific software. Axial computed tomography images and coronal b1000 images were selec
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Kucher, Michael, Martin Dannemann, Niels Modler, Dominik Haim, Christian Hannig, and Marie-Theres Weber. "Continuous Measurement of Three-Dimensional Root Canal Curvature Using Cone-Beam Computed and Micro-Computed Tomography: A Comparative Study." Dentistry Journal 8, no. 1 (2020): 16. http://dx.doi.org/10.3390/dj8010016.

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The knowledge of root canal curvature is crucial regarding the prevention of ledge formation, root perforation and the possibility of endodontic instruments’ fracture during endodontic treatments. Therefore, a quantification method of the root canal curvature as well as the applicability of diagnostically relevant tomographic three-dimensional (3D) imaging data is necessary. Hereby, cone-beam computed tomography (CBCT) images and micro-computed tomography (µCT) data of distal root canals were analysed concerning the continuous three-dimensional curvature of human mandibular molars ( n = 50). T
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Ekevad, Mats. "Method to compute fiber directions in wood from computed tomography images." Journal of Wood Science 50, no. 1 (2004): 41–46. http://dx.doi.org/10.1007/s10086-003-0524-z.

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Zhang, F., and Y. Sha. "Computed tomography and magnetic resonance imaging findings for primary middle-ear carcinoma." Journal of Laryngology & Otology 127, no. 6 (2013): 578–83. http://dx.doi.org/10.1017/s0022215113000923.

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AbstractObjective:This study aimed to investigate the computed tomography and magnetic resonance imaging findings of primary middle-ear carcinoma.Methods:In this retrospective study of 13 patients with primary middle-ear carcinoma, we collected pre- and post-contrast magnetic resonance images for all 13 cases, high-resolution computed tomography scans for 11 cases, and conventional computed tomography scans with contrast for 2 cases.Results:Soft-tissue masses were mainly located in the tympanum, tympanic sinus and deep within the external auditory canal, and involved the jugular fossa (9 of 13
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Elakshar, Sara, James Man Git Tsui, Michael Jonathan Kucharczyk, et al. "Does Interfraction Cone Beam Computed Tomography Improve Target Localization in Prostate Bed Radiotherapy?" Technology in Cancer Research & Treatment 18 (January 1, 2019): 153303381983196. http://dx.doi.org/10.1177/1533033819831962.

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Purpose: In this prospective phase II study, we investigated whether cone beam computed tomography scan was a superior method of image-guided radiotherapy relative to 2D orthogonal kilovoltage images in the post-radical prostatectomy setting. Methods: A total of 419 treatment fractions were included in this analysis. The shifts required to align the patient for each treatment were performed using 3D matching between cone beam computed tomography scans and the corresponding computed tomography images used for planning. This was compared with the shifts obtained from 2D orthogonal kilovoltage im
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Korpics, Mark, Paul Johnson, Rakesh Patel, et al. "Metal Artifact Reduction in Cone-Beam Computed Tomography for Head and Neck Radiotherapy." Technology in Cancer Research & Treatment 15, no. 6 (2016): NP88—NP94. http://dx.doi.org/10.1177/1533034615618319.

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Purpose: To evaluate a method for reducing metal artifacts, arising from dental fillings, on cone-beam computed tomography images. Materials and Methods: A projection interpolation algorithm is applied to cone-beam computed tomography images containing metal artifacts from dental fillings. This technique involves identifying metal regions in individual cone-beam computed tomography projections and interpolating the surrounding values to remove the metal from the projection data. Axial cone-beam computed tomography images are then reconstructed, resulting in a reduction in the streak artifacts
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48

Liao, Che-Wei, Chia-Jui Hsieh, Heng-Li Huang, et al. "PROTOTYPE OF A 2.5D PERIAPICAL RADIOGRAPHY SYSTEM USING AN INTRAORAL COMPUTED TOMOSYNTHESIS APPROACH." Biomedical Engineering: Applications, Basis and Communications 30, no. 01 (2018): 1850004. http://dx.doi.org/10.4015/s1016237218500047.

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Digital periapical radiography is widely used in clinical dentistry because the technique is relatively simple and inexpensive. However, the main drawback of periapical radiography is that it represents a three-dimensional object in a two-dimensional film due to its inherent projection technique. The objective of this study was to develop a prototype intraoral computed tomosynthesis system, which can provide quasi-three-dimensional (so-called 2.5D) images. We developed a prototype intraoral computed tomosynthesis machine. Regular digital periapical radiography, computed tomosynthesis scanning,
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Kauw, Frans, Fasco van Ommen, Edwin Bennink, et al. "Early detection of small volume stroke and thromboembolic sources with computed tomography: Rationale and design of the ENCLOSE study." European Stroke Journal 5, no. 4 (2020): 432–40. http://dx.doi.org/10.1177/2396987320966420.

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Background Computed tomography is the most frequently used imaging modality in acute stroke imaging protocols. Detection of small volume infarcts in the brain and cardioembolic sources of stroke is difficult with current computed tomography protocols. Furthermore, the role of computed tomography findings to predict recurrent ischemic stroke is unclear. With ENCLOSE, we aim to improve (1) the detection of small volume infarcts with thin slice computed tomography perfusion (CTP) images and thromboembolic source with cardiac computed tomography techniques in the acute stage of ischemic stroke and
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Putrik, Maxim, Vladimir Ivanov, and Igor Antsygin. "Perspectives of the Tooth Restoration Technology Based on the Computed Tomography Data." MATEC Web of Conferences 155 (2018): 01004. http://dx.doi.org/10.1051/matecconf/201815501004.

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The aim of the study is to create an image processing system, which allows dentists to create tooth surface automatically. X-rays images of jaws from the cone beam tomography or the spiral computed tomography and images from the micro-computed tomography are the initial data for processing. Example of using the combination of optical and x-ray images in the dentistry is described. Also, it was shown how to use the microcomputed tomography method to plan the placement of orthopedic structures on the lost teeth sites.
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