Relevant bibliographies by topics / Computed tomography images

Contents

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

Academic literature on the topic 'Computed tomography images'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Computed tomography images"

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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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Dissertations / Theses on the topic "Computed tomography images"

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Mazinani, Mahdi. "Computer aided detection and measurement of coronary artery disease from computed tomography angiography images." Thesis, Kingston University, 2012. http://eprints.kingston.ac.uk/24527/.

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Coronary artery disease is one of the most pernicious diseases around the world and early identification of vascular disease can help to reduce morbidity and mortality. Assessment of the degree of vascular obstruction, or stenosis, is critical for classifying the risks of the future vascular events. Automatic detection and quantification of stenosis are important in assessing coronary artery disease from medical imagery, especially for disease progression. Important factors affecting the reproducability and robustness of accuarate quantification arise from the partial volume effect and other n
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Mazeyev, Yuri. "Direction estimation on 3D-tomography images of jawbones." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1661.

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<p>The present work expose a technique of estimation of optimal direction for placing dental implant. A volumetric computed tomography (CT) scan is used as a help of the following searches. The work offers criteria of the optimal implant placement direction and methods of evaluation on direction’s significance. The technique utilizes structure tensor to find a normal to the jawbone surface. Direction of that normal is then used as initial direction for search of optimal direction.</p><p>The technique described in the present work aimed to support doctor’s decisions during dental implantation t
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Pivot, Odran. "Scatter correction for spectral computed tomography." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI102.

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Le rayonnement diffusé est une cause majeure de biais, de baisse de contraste et d'artéfacts en tomographie par rayons x. De nombreuses méthode de correction ont été proposées pour la tomographie conventionnelle (utilisant des détecteurs à intégration en énergie) mais le sujet reste ouvert dans le cadre de l'imagerie spectrale, une nouvelle modalité d'imagerie basée sur l'utilisation de détecteurs à comptage des photons résolus en énergie. L'objectif principal de ce travail de thèse a été l'étude de techniques de correction du diffusé adaptées à l'imagerie spectrale. La solution choisie amélio
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Xiang, Jing. "Registration of 3D ultrasound to computed tomography images of the kidney." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/27817.

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The integration of 3D computed tomography (CT) and ultrasound (US) is of considerable interest because it can potentially improve many minimally invasive procedures such as robot-assisted laparoscopic partial nephrectomy. Partial nephrectomy patients often receive preoperative CT angiography for diagnosis. The 3D CT image is of high quality and has a large field of view. Intraoperatively, dynamic real-time images are acquired using ultrasound. While US is real-time and safe for frequent imaging, the images captured are noisy and only provide a limited perspective. Providing accurate registrati
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Bazalova, Magdalena. "The use of computed tomography images in Monte Carlo treatment planning." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=32513.

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Monte Carlo (MC) dose calculations cannot accurately assess the dose delivered to the patient during radiotherapy unless the patient anatomy is well known. This thesis focuses on the conversion of patient computed tomography (CT) images into MC geometry files. Metal streaking artifacts and their effect on MC dose calculations are first studied. A correction algorithm is applied to artifact-corrupted images and dose errors due to density and tissue mis-assignment are quantified in a phantom and a patient s
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Udell, Nicholas Philip. "Algorithms for studying murine airway structure in microfocus computed tomography images." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/412643/.

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Complex branching 3D structures, such as root systems, renal vasculature and pulmonary airways and vasculature, are prevalent throughout nature. The analysis and measurement of these structures and the development of automatic or semi-automatic algorithms to study Microfocus Computed Tomography (µCT) images is therefore an important requirement in this field. Asthma is a prevalent chronic airway disease that is not yet fully understood. Murine models of lung diseases are used with increasing frequency. As the lung is a complex 3D structure, there are benefits to using 3D methodology to measure
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Zuluaga, Valencia Maria Alejandra. "Methods for automation of vascular lesions detection in computed tomography images." Thesis, Lyon 1, 2011. http://www.theses.fr/2011LYO10010/document.

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Les travaux de cette thèse sont consacrés à la détection et le diagnostic des lésions vasculaires, particulièrement dans le cas la maladie coronaire. La maladie coronaire continue à être la première cause de mortalité dans les pays industrialisés. En général, l'identification des lésions vasculaires est abordée en essayant de modéliser les anormalités (lésions). Le principal inconvénient de cette approche est que les lésions sont très hétérogènes, ce qui rend difficile la détection de nouvelles lésions qui n'ont pas été prises en compte par le modèle. Dans cette thèse, nous proposons de ne pas
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Zuluaga, Valencia Maria Alejandra. "Methods for automation of vascular lesions detection in computed tomography images." Electronic Thesis or Diss., Lyon 1, 2011. http://www.theses.fr/2011LYO10010.

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Les travaux de cette thèse sont consacrés à la détection et le diagnostic des lésions vasculaires, particulièrement dans le cas la maladie coronaire. La maladie coronaire continue à être la première cause de mortalité dans les pays industrialisés. En général, l'identification des lésions vasculaires est abordée en essayant de modéliser les anormalités (lésions). Le principal inconvénient de cette approche est que les lésions sont très hétérogènes, ce qui rend difficile la détection de nouvelles lésions qui n'ont pas été prises en compte par le modèle. Dans cette thèse, nous proposons de ne pas
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Elmshiti, Hashim. "Evaluation of Submandibular Infections using 3-Dimensional Reconstruction of Computed Tomography Images." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1452523769.

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Li, Pei. "Automatic interpretation of computed tomography (CT) images for hardwood log defect detection." Thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-11182008-063222/.

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Books on the topic "Computed tomography images"

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Ellis, Harold. Human cross-sectional anatomy: Atlas of body sections and CT images. Butterworth-Heinemann, 1991.

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Ellis, Harold. Human cross-sectional anatomy: Pocket atlas of body sections and CT images. Butterworth-Heinemann, 1994.

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Cahill, Donald R. Atlas of human cross-sectional anatomy: With CT and MR images. 2nd ed. Wiley-Liss, 1990.

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M, Logan B., and Dixon Adrian K, eds. Human sectional anatomy: Pocket atlas of body sections, CT and MRI images. 3rd ed. Hodder Arnold, 2009.

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Ellis, Harold. Human sectional anatomy: Atlas of body sections, CT and MRI images. 3rd ed. Hodder-Arnold, 2007.

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Ellis, Harold. Human sectional anatomy: Atlas of body sections, CT and MRI images. 2nd ed. Butterworth-Heinemann, 1999.

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Ellis, Harold. Human sectional anatomy: Pocket atlas of bocy sections, CT and MRI images. 2nd ed. Arnold, 2001.

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Lofthag-Hansen, Sara. Cone beam computed tomography: Radiation dose and image quality assessments. University of Gothenburg, 2010.

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Yeung, K. T. D. Filtering techniques in image reconstruction applied to X-ray computed tomography. University of Birmingham, 1986.

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Kak, Avinash C. Principles of computerized tomographic imaging. Society for Industrial and Applied Mathematics, 2001.

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Book chapters on the topic "Computed tomography images"

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Połap, Dawid, and Marcin Woźniak. "Parallel Processing of Computed Tomography Images." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99996-8_9.

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Sun, Xiaoyu, Feng Huang, Guanjun Lai, et al. "Motion Artifacts Detection from Computed Tomography Images." In Advanced Data Mining and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65390-3_27.

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Farkas, Michael L. "Cross-Sectional Anatomy with Corresponding CT Images." In Cross-Sectional Anatomy for Computed Tomography. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4613-8782-4_3.

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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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Bong, Chin Wei, Hong Yoong Lam, and Hamzah Kamarulzaman. "A Novel Image Segmentation Technique for Lung Computed Tomography Images." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32826-8_11.

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Kimoto, Natsumi, Hiroaki Hayashi, Cheonghae Lee, et al. "Quantitative Analysis Methodology of X-Ray Attenuation for Medical Diagnostic Imaging: Algorithm to Derive Effective Atomic Number, Soft Tissue and Bone Images." In Photon Counting Computed Tomography. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26062-9_11.

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Burgos, Ninon. "Neuroimaging in Machine Learning for Brain Disorders." In Machine Learning for Brain Disorders. Springer US, 2012. http://dx.doi.org/10.1007/978-1-0716-3195-9_8.

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AbstractMedical imaging plays an important role in the detection, diagnosis, and treatment monitoring of brain disorders. Neuroimaging includes different modalities such as magnetic resonance imaging (MRI), X-ray computed tomography (CT), positron emission tomography (PET), or single-photon emission computed tomography (SPECT).For each of these modalities, we will explain the basic principles of the technology, describe the type of information the images can provide, list the key processing steps necessary to extract features, and provide examples of their use in machine learning studies for b
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Chowdhury, Ananda S., Anindita Mukherjee, Suchendra M. Bhandarkar, and Jack C. Yu. "Computer Vision Based Hairline Mandibular Fracture Detection from Computed Tomography Images." In Advanced Computational Approaches to Biomedical Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41539-5_9.

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Yerebakan, Halid Ziya, Yoshihisa Shinagawa, and Gerardo Hermosillo Valadez. "Real Time Multi Organ Classification on Computed Tomography Images." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-73748-0_1.

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Aresta, Guilherme, Teresa Araújo, Colin Jacobs, et al. "Towards an Automatic Lung Cancer Screening System in Low Dose Computed Tomography." In Image Analysis for Moving Organ, Breast, and Thoracic Images. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00946-5_31.

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Conference papers on the topic "Computed tomography images"

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Harindranath, Aparna, Oscar Bates, and Oscar Calderon Agudo. "Image quality assessment of computed tomography images using uncertainty estimation." In Physics of Medical Imaging, edited by John M. Sabol, Shiva Abbaszadeh, and Ke Li. SPIE, 2025. https://doi.org/10.1117/12.3045942.

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Bugai, Oleg, Petr Kulagin, Dmitri Polevoy, and Dmitri Nikolaev. "Orthotropic alignment for x-ray computed tomography images." In 2024 The 5th Symposium on Pattern Recognition and Applications, edited by Xiaodan Pang. SPIE, 2025. https://doi.org/10.1117/12.3056308.

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Devendhar, Tirumalasetti, Lakshmipriya B, and Jayalakshmy S. "U-Net based Pancreas Segmentation from Computed Tomography Images." In 2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN). IEEE, 2024. http://dx.doi.org/10.1109/icstsn61422.2024.10671042.

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Gancheva, Veska, and Kamelia Raynova. "Parallel Multithreaded Filtering of X-Ray Computed Tomography Images." In 2024 International Conference on Computing in Natural Sciences, Biomedicine and Engineering (COMCONF). IEEE, 2024. https://doi.org/10.1109/comconf63340.2024.00010.

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Smyrlis, Panagiotis N., Gabriela R. Stancu, Foteini Dimaraki, et al. "Aorta localization in Computed Tomography images: A YoloV9 segmentation approach." In 2024 9th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM). IEEE, 2024. http://dx.doi.org/10.1109/seeda-cecnsm63478.2024.00037.

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Merchan, Mishell, Juan Suarez, and Said Pertuz. "Deep Learning-Based Pulmonary Arterial Segmentation in Computed Tomography Images." In 2024 XXIV Symposium of Image, Signal Processing, and Artificial Vision (STSIVA). IEEE, 2024. http://dx.doi.org/10.1109/stsiva63281.2024.10637810.

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Gmitro, Arthur F., and Gene R. Gindi. "Real-time computed tomography." In OSA Annual Meeting. Optica Publishing Group, 1986. http://dx.doi.org/10.1364/oam.1986.mr2.

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An optical system for real-time reconstruction of computed tomography (CT) images was previously described.1 The system implements the filtered backprojection algorithm using a heterodyne space-integrating acoustooptic convolver for the filtering operation and an incoherent optical system for the backprojection operation. The first images reconstructed using this system are presented. These images represent the first video-rate CT reconstructions ever produced. Performance of the present system as well as a discussion of the general issue of image quality in realtime CT are presented. Alternat
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Tresp, Volker, Arthur F. Gmitro, and Gene R. Gindi. "Real-time computed tomography." In OSA Annual Meeting. Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.tuh4.

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The parallel and rapid processing of optical computing can be exploited for the high-speed reconstruction of computed tomography images. Our system implements the filtered backprojection algorithm using an incoherent optical system for the backprojection. A video camera integrates the filtered backprojections, and the reconstructed image can be directly displayed on a video monitor. The filtering operation can alternatively be performed by a heterodyne space-integrating acoustooptic convolver, a surface acoustic wave filter, or a digital finite impulse response filter. We present images recons
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Senseney, Justin, Paul F. Hemler, and Matthew J. McAuliffe. "Automated segmentation of computed tomography images." In 2009 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2009. http://dx.doi.org/10.1109/cbms.2009.5255342.

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Nichita, Mihai-Virgil, Maria-Alexandra Paun, Vladimir-Alexandru Paun, and Viorel-Puiu Paun. "Lacunarity analysis of computed tomography images." In PROCEEDINGS OF THE TIM20-21 PHYSICS CONFERENCE. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0151079.

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Reports on the topic "Computed tomography images"

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Xia, Jessie Q. Image Processing and Computer Aided Diagnosis in Computed Tomography of the Breast. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada488205.

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Atherosclerosis Biomarkers by Computed Tomography Angiography (CTA). Chair Andrew Buckler, Luca Saba, and Uwe Joseph Schoepf. Radiological Society of North America (RSNA) / Quantitative Imaging Biomarkers Alliance (QIBA), 2023. http://dx.doi.org/10.1148/qiba/20230328.

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The clinical application of Computed Tomography Angiography (CTA) is widely available as a technique to optimize the therapeutic approach to treating vascular disease. Evaluation of atherosclerotic arterial plaque characteristics is currently based on qualitative biomarkers. However, the reproducibility of such findings has historically been limited even among experts (1). Quantitative imaging biomarkers have been shown to have additive value above traditional qualitative imaging metrics and clinical risk scores regarding patient outcomes (2). However, many definitions and cut-offs are present
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Gantzer, Clark J., Shmuel Assouline, and Stephen H. Anderson. Synchrotron CMT-measured soil physical properties influenced by soil compaction. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7587242.bard.

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Methods to quantify soil conditions of pore connectivity, tortuosity, and pore size as altered by compaction were done. Air-dry soil cores were scanned at the GeoSoilEnviroCARS sector at the Advanced Photon Source for x-ray computed microtomography of the Argonne facility. Data was collected on the APS bending magnet Sector 13. Soil sample cores 5- by 5-mm were studied. Skeletonization algorithms in the 3DMA-Rock software of Lindquist et al. were used to extract pore structure. We have numerically investigated the spatial distribution for 6 geometrical characteristics of the pore structure of
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Saba, Luca, and Uwe Joseph Schoepf. Atherosclerosis Biomarkers by Computed Tomography Angiography (CTA) - Maintenance version June 2024. Chair Andrew Buckler. Radiological Society of North America (RSNA) / Quantitative Imaging Biomarkers Alliance (QIBA), 2024. http://dx.doi.org/10.1148/qiba/202406.

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The clinical application of Computed Tomography Angiography (CTA) is widely available as a technique to optimize the therapeutic approach to treating vascular disease. Evaluation of atherosclerotic arterial plaque characteristics is currently based on qualitative biomarkers. However, the reproducibility of such findings has historically been limited even among experts. Quantitative imaging biomarkers have been shown to have additive value above traditional qualitative imaging metrics and clinical risk scores regarding patient outcomes. However, many definitions and cut-offs are present in the
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Wilson, Mark P., Bridget K. Ford, Jose Salomon II Salazar, and ). Reconstruction algorithm development and assessment for a computed tomography based-spectral imager. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/882349.

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Aufderheide, M. B., D. M. Goodman, J. A. Jackson, and E. M. Johansson. Image recovery techniques for x-ray computed tomography in limited data environments. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/11988.

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Cho, Seungryong. Cone-Beam Computed Tomography for Image-Guided Radiation Therapy of Prostate Cancer. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada480130.

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Malinowski, Owen. PR-335-203810-R01 Review of Xray Computed Tomography Performance. Pipeline Research Council International, Inc. (PRCI), 2021. http://dx.doi.org/10.55274/r0012020.

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X-Ray Computed Tomography (XRCT) has been utilized for decades in medical and industrial imaging applications. The technology uses penetrating X-ray radiation to image the internal structure of an object by measuring attenuation along multiple transmission paths through the object. XRCT is a promising technology for application in imaging and sizing of flaws in oil and gas transmission pipelines and has been used in such applications in the past. However, the performance of the technology in this specific application to flaw sizing in oil and gas pipelines has not been fully evaluated. The pur
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Kane, Joshua James, and William Enoch Windes. Initial Assessment of X-Ray Computer Tomography image analysis for material defect microstructure. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1364233.

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Monnig, C. A., K. A. Marshall, G. D. Rayson, and G. M. Hieftje. Tomographic Image Reconstruction Techniques for Spectroscopic Sources: Theory and Computer Simulations. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada198213.

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