Gotowe bibliografie tematyczne / BEAM COMPUTED-TOMOGRAPHY

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „BEAM COMPUTED-TOMOGRAPHY”

Autor: Grafiati
Data publikacji: 2 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "BEAM COMPUTED-TOMOGRAPHY"

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Izzetti, Rossana, Raffaele Gaeta, Davide Caramella, and Valentina Giuffra. "Cone-Beam Computed Tomography vs. Multi-Slice Computed Tomography in paleoimaging: where we stand." HOMO 71, no. 1 (2020): 63–72. http://dx.doi.org/10.1127/homo/2020/1063.

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Frongia, Gianluigi, Maria Grazia Piancino, and Pietro Bracco. "Cone-Beam Computed Tomography." Journal of Craniofacial Surgery 23, no. 4 (2012): 1038–43. http://dx.doi.org/10.1097/scs.0b013e318252d5e1.

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Perel, Morton L. "Cone-Beam Computed Tomography." Implant Dentistry 24, no. 4 (2015): 367. http://dx.doi.org/10.1097/id.0000000000000297.

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Cheng, Tsung O. "Electron-Beam Computed Tomography." Annals of Emergency Medicine 34, no. 2 (1999): 295–96. http://dx.doi.org/10.1016/s0196-0644(99)70255-6.

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Nasseh, Ibrahim, and Wisam Al-Rawi. "Cone Beam Computed Tomography." Dental Clinics of North America 62, no. 3 (2018): 361–91. http://dx.doi.org/10.1016/j.cden.2018.03.002.

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Pereira, Ulrika Diana, Deepak Kalia, Prerna Raje Batham, et al. "Cone beam computed tomography." international journal of stomatology & occlusion medicine 8, no. 1 (2015): 1–7. http://dx.doi.org/10.1007/s12548-015-0121-y.

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Wei, Yuchuan, Hengyong Yu, Jiang Hsieh, Wenxiang Cong, and Ge Wang. "Scheme of computed tomography." Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics 15, no. 4 (2007): 235–70. http://dx.doi.org/10.3233/xst-2007-00184.

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Since Katsevich's work on cone-beam CT in 2002, a series of new reconstruction formulae for cone-beam and fan-beam reconstruction have been published. To understand these new results in a unified way, two schemes were proposed in the literature: one is based on the Radon formula, while the other on the Tuy formula. In the paper, we present a general two-step scheme for parallel-, fan- and cone-beam CT based on the inverse Fourier transform. We first derive parallel-beam formulae and then translate them to the divergent-beam case via a standardized method. This complete framework not only provi
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Rehani, M. M. "Radiological protection in computed tomography and cone beam computed tomography." Annals of the ICRP 44, no. 1_suppl (2015): 229–35. http://dx.doi.org/10.1177/0146645315575872.

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Luke, AlexanderManinagat, KrishnaPrasad Shetty, SV Satish, and Krishnarao Kilaru. "Comparison of Spiral Computed Tomography and Cone-Beam Computed Tomography." Journal of Indian Academy of Oral Medicine and Radiology 25, no. 3 (2013): 173. http://dx.doi.org/10.4103/0972-1363.161096.

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Kailash, Sahithya. "CBCT's Cone Beam Computed Tomography." Journal of Academy of Dental Education 1, no. 1 (2014): 9. http://dx.doi.org/10.18311/jade/2014/2423.

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Dental X- Rays are important for diagnosing and treating patients by helping to detect oral health issues when they can't be detected by visual or physical examination alone. Dental X-Ray take a much closer look and provide valuable information in the area of interest. Though 2 Dimensional X-Ray and Panoramic radiography can predict diagnosis in number of clinical cases, certain situations demand multiplanar imaging, one such technology is CBCT. CBCT is a specialised 3Dimensional Craniofacial imaging in which 3 Dimensional reconstruction is possible. The final reconstructed image produced, rev
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Rozprawy doktorskie na temat "BEAM COMPUTED-TOMOGRAPHY"

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Allareddy, Veeratrishul. "Incidental findings on cone beam computed tomography." Thesis, University of Iowa, 2009. https://ir.uiowa.edu/etd/457.

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Jones, Andrew Thomas. "Regional pulmonary perfusion using electron beam computed tomography." Thesis, Imperial College London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391623.

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Doshi, Susan. "Statistical image analysis in cone-beam computed tomography." Thesis, University of Bath, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.619218.

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Cone-beam computed tomography (CBCT) is used to verify the patient’s position prior to commencing radiotherapy treatment. Soft tissues such as the prostate are hard to distinguish, and so gold markers may be implanted. These markers cause artefacts in the 3D reconstruction. In this thesis, we apply statistical image analysis techniques to CBCT data, with two purposes: we estimate the marker locations (with an assessment of uncertainty), and create reconstructions with fewer artefacts. In our first analysis, we define a Bayesian statistical model for the projection data, encouraging local smoot
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Balasundaram, Ashok Mol André. "Cone beam computed tomography imaging of periodontal bone." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2008. http://dc.lib.unc.edu/u?/etd,2063.

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Thesis (M.S.)--University of North Carolina at Chapel Hill, 2008.<br>Title from electronic title page (viewed Feb. 17, 2009). "... in partial fulfillment of the requirements for the degree of Master of Science in the Department of Diagnostic Sciences and General Dentistry, School of Dentistry." Discipline: Diagnostic Sciences and General Dentistry; Department/School: Dentistry.
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Harding, Adrian. "Feasibility study of fan-beam coherent scatter computed tomography." Thesis, University of Surrey, 2004. http://epubs.surrey.ac.uk/922/.

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Mason, Jonathan Hugh. "Quantitative cone-beam computed tomography reconstruction for radiotherapy planning." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/33193.

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Radiotherapy planning involves the calculation of dose deposition throughout the patient, based upon quantitative electron density images from computed tomography (CT) scans taken before treatment. Cone beam CT (CBCT), consisting of a point source and flat panel detector, is often built onto radiotherapy delivery machines and used during a treatment session to ensure alignment of the patient to the plan. If the plan could be recalculated throughout the course of treatment, then margins of uncertainty and toxicity to healthy tissues could be reduced. CBCT reconstructions are normally too poor t
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Amor, Zaineb. "Bone segmentation and extrapolation in Cone-Beam Computed Tomography." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279802.

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This work was done within the French R&amp;D center of GE Medical Systems and focused on two main tasks: skull bone segmentation on 3D Cone-Beam Computed Tomography (CBCT) data and skull volumetric shape extrapolation on 3D CBCT data using deep learning approaches. The motivation behind the first task is that it would allow interventional radiologists to visualize only the vessels directly without adding workflow to their procedures and exposing the patients to extra radiations. The motivation behind the second task is that it would help understand and eventually correct some artifacts related
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Jones, Elizabeth Marie Matteson. "Comparing Cone Beam Computed Tomography with Multi-Slice Computed Tomography in Diagnosing Osseous Defects at the Mandibular Condyle." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1427278935.

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Adler, Jonas. "GPU Monte Carlo scatter calculations for Cone Beam Computed Tomography." Thesis, KTH, Numerisk analys, NA, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-140221.

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A GPU Monte Carlo code for x-ray photon transport has been implemented and extensively tested. The code is intended for scatter compensation of cone beam computed tomography images. The code was tested to agree with other well known codes within 5% for a set of simple scenarios. The scatter compensation was also tested using an artificial head phantom. The errors in the reconstructed Hounsfield values were reduced by approximately 70%. Several variance reduction methods have been tested, although most were found infeasible on GPUs. The code is nonetheless fast, and can simulate approximately 3
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Patel, Shanon. "The clinical applications of cone beam computed tomography in endodontics." Thesis, King's College London (University of London), 2012. https://kclpure.kcl.ac.uk/portal/en/theses/the-clinical-applications-of-cone-beam-computed-tomography-in-endodontics(28daff53-0941-4b36-b8ea-beeb7dc2a8e6).html.

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A series of 5 investigations assessed the application of cone beam computed tomography (CBCT) for the management of endodontic problems. Cone beam computed tomography improved the detection of the presence and absence of simulated periapical lesions in human dry mandibles. The overall sensitivity was 0.248 and 1.0 for periapical radiography and CBCT respectively. The receiver operating characteristics (ROC) area under the curve (AUC) values were 0.791 and 1.000 for intraoral radiography and CBCT, respectively. There was no improvement in the detection of artificially created vertical root frac
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Książki na temat "BEAM COMPUTED-TOMOGRAPHY"

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Sarment, David, ed. Cone Beam Computed Tomography. John Wiley & Sons, Inc, 2013. http://dx.doi.org/10.1002/9781118769027.

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Scarfe, William C., and Christos Angelopoulos, eds. Maxillofacial Cone Beam Computed Tomography. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-62061-9.

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Gonzalez, Shawneen M., ed. Interpretation Basics of Cone Beam Computed Tomography. John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781119421177.

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Kapila, Sunil D., ed. Cone Beam Computed Tomography in Orthodontics: Indications, Insights, and Innovations. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118674888.

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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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Richter, Martinus, Francois Lintz, Cesar de Cesar Netto, Alexej Barg, Arne Burssens, and Scott Ellis. Weight Bearing Cone Beam Computed Tomography (WBCT) in the Foot and Ankle. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31949-6.

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1961-, Berry Elizabeth, and National Co-ordinating Centre for HTA (Great Britain), eds. A Systematic literature review of spiral and electron beam computed tomography: With particular reference to clinical applicatiomns in hepatic lesions, pulmonary embolus and coronary artery disease. Core Research on behalf of the NCCHTA, 1999.

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DaWood, Andrew, Keith Horner, and Shanon Patel. Cone Beam Computed Tomography. Wiley & Sons, Incorporated, John, 1991.

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Shaw, Chris C. Cone Beam Computed Tomography. Taylor & Francis Group, 2014.

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Cone Beam Computed Tomography. Taylor & Francis Group, 2014.

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Części książek na temat "BEAM COMPUTED-TOMOGRAPHY"

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Pelc, Norbert J. "Fan-Beam CT Systems." In Computed Tomography. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26957-9_1.

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Siewerdsen, Jeffrey H. "Cone-Beam CT Systems." In Computed Tomography. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26957-9_2.

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Stanford, William. "Electron Beam Tomography in Cardiopulmonary Imaging." In Computed Tomography. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-79887-0_30.

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Larheim, Tore A. "Cone Beam Computed Tomography." In Maxillofacial Imaging. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53319-3_15.

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Guess, Garrett, Fouad Al-Malki, Meetu Kohli, Bekir Karabucak, and Samuel Kratchman. "Cone Beam Computed Tomography." In Microsurgery in Endodontics. John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119412502.ch14.

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Jacobson, Matthew W. "Technology and Principles of Cone Beam Computed Tomography." In Cone Beam Computed Tomography. John Wiley & Sons, Inc, 2013. http://dx.doi.org/10.1002/9781118769027.ch1.

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Levin, Martin D. "Endodontics Using Cone Beam Computed Tomography." In Cone Beam Computed Tomography. John Wiley & Sons, Inc, 2013. http://dx.doi.org/10.1002/9781118769027.ch10.

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Vandenberghe, Bart, and David Sarment. "Periodontal Disease Diagnosis Using Cone Beam Computed Tomography." In Cone Beam Computed Tomography. John Wiley & Sons, Inc, 2013. http://dx.doi.org/10.1002/9781118769027.ch11.

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Mallya, Sanjay M., and Stuart C. White. "The Nature of Ionizing Radiation and the Risks from Maxillofacial Cone Beam Computed Tomography." In Cone Beam Computed Tomography. John Wiley & Sons, Inc, 2013. http://dx.doi.org/10.1002/9781118769027.ch2.

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Brooks, Sharon L. "Diagnosis of Jaw Pathologies Using Cone Beam Computed Tomography." In Cone Beam Computed Tomography. John Wiley & Sons, Inc, 2013. http://dx.doi.org/10.1002/9781118769027.ch3.

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Streszczenia konferencji na temat "BEAM COMPUTED-TOMOGRAPHY"

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Yunker, Austin, Jason Luce, John C. Roeske, et al. "Noise2Inverse for 3D Low-Dose Cone-Beam Computed Tomography." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825036.

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Maass, C., M. Knaup, S. Sawall, and M. Kachelriess. "Simple ROI cone-beam computed tomography." In 2010 IEEE Nuclear Science Symposium and Medical Imaging Conference (2010 NSS/MIC). IEEE, 2010. http://dx.doi.org/10.1109/nssmic.2010.5874385.

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Yang, Xiaoyu, Yufei Chen, Xiaodong Yue, Xiang Lin, and Qi Zhang. "Variational Synthesis Network for Generating Micro Computed Tomography from Cone Beam Computed Tomography." In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2021. http://dx.doi.org/10.1109/bibm52615.2021.9669498.

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Vedula, Venumadhav, Manoharan Venugopal, C. Raghu, and Pramod Pandey. "Beam Hardening Corrections in Quantitative Computed Tomography." In REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2007. http://dx.doi.org/10.1063/1.2718019.

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Brehm, Marcus, Timo Berkus, Markus Oehlhafen, Patrik Kunz, and Marc Kachelriess. "Motion-compensated 4D cone-beam computed tomography." In 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (2011 NSS/MIC). IEEE, 2011. http://dx.doi.org/10.1109/nssmic.2011.6153758.

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Zheng, Jia, Dinghua Zhang, Kuidong Huang, and Yuanxi Sun. "Cone-Beam Computed Tomography Image Pretreatment and Segmentation." In 2018 11th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2018. http://dx.doi.org/10.1109/iscid.2018.00012.

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Conover, David, Ruola Ning, Scott Paoni, et al. "Cone beam computed tomography angiogenesis imaging: preliminary studies." In Medical Imaging, edited by Armando Manduca and Amir A. Amini. SPIE, 2006. http://dx.doi.org/10.1117/12.655655.

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Ingleby, Harry R., Idris A. Elbakri, Daniel W. Rickey, and Stephen Pistorius. "Analytical scatter estimation for cone-beam computed tomography." In SPIE Medical Imaging, edited by Ehsan Samei and Jiang Hsieh. SPIE, 2009. http://dx.doi.org/10.1117/12.813804.

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Gang, G. J., J. W. Stayman, S. Ouadah, T. Ehtiati, and J. H. Siewerdsen. "Task-driven imaging in cone-beam computed tomography." In SPIE Medical Imaging, edited by Christoph Hoeschen, Despina Kontos, and Thomas G. Flohr. SPIE, 2015. http://dx.doi.org/10.1117/12.2082169.

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Buliev, I. G., C. T. Badea, and N. Pallikarakis. "Respiratory displacement modelling in cone beam computed tomography." In Computers in Cardiology, 2003. IEEE, 2003. http://dx.doi.org/10.1109/cic.2003.1291231.

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Raporty organizacyjne na temat "BEAM COMPUTED-TOMOGRAPHY"

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Azevedo, S., P. Rizo, and P. Grangeat. Region-of-interest cone-beam computed tomography. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/125412.

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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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Green, William. X-Ray Computed Tomography Evaluation of Electron Beam Additively Manufactured Titanium Components. DEVCOM Army Research Laboratory, 2022. http://dx.doi.org/10.21236/ad1168106.

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Anderson, William M. Studying the Prevalence and Etiology of Class II Subdivision Malocclusion Utilizing Cone-Beam Computed Tomography. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ad1012894.

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Malinowski, Owen, Scott Riccardella, and Jason Van Velsor. PR-335-203810-R03 CT Fundamentals with Calibration and Reference Standards for Pipeline Anomaly Detection. Pipeline Research Council International, Inc. (PRCI), 2022. http://dx.doi.org/10.55274/r0012216.

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X-ray Computed Tomography (XRCT) was initially developed and utilized in the medical industry to image the internal structure of the human body. X-ray imaging was conceived and realized at the turn of the 20th century and subsequently, XRCT, was conceived in the middle of the 20th century and its development continues today. Near the end of the 20th century industrial cone beam XRCT for applications such as dimensional metrology branched off, including its use for identifying and dimensioning flaws. XRCT has been utilized successfully for three-dimensional imaging of flaws in the small panel c
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Physical Uncertainties in the Planning and Delivery of Light Ion Beam Treatments. American Association of Physicists in Medicine, 2022. http://dx.doi.org/10.37206/201.

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Light ion beam treatments are becoming more widely used. Safe and optimal treatments may only be achieved when uncertainties are considered at every step of the planning and delivery process. These uncertainties include, but are not limited to, penetration uncertainties due to beam delivery, uncertainties in dose compliance, uncertainties of x-ray computed tomography numbers, absolute and relative linear stopping powers, absolute and relative linear scattering powers, conversion of x-ray computed tomography numbers to relative linear stopping power, lateral alignment uncertainties, and uncerta
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