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1

Zeng, Gengsheng L. "Revisit of combined parallel-beam/cone-beam or fan-beam/cone-beam imaging." Medical Physics 40, no. 10 (2013): 100701. http://dx.doi.org/10.1118/1.4820373.

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2

Radia, Ria, Judith Jones, and Jimmy Makdissi. "Cone beam specificity." Dental Update 49, no. 2 (2022): 174–75. http://dx.doi.org/10.12968/denu.2022.49.2.174a.

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3

Gutmann, James L. "CONE-BEAM TECHNOLOGY." Journal of the American Dental Association 142, no. 3 (2011): 244–46. http://dx.doi.org/10.14219/jada.archive.2011.0150.

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4

opent, Bassam. "CONE BEAM CT." Tandartspraktijk 31, no. 9 (2010): 20–23. http://dx.doi.org/10.1007/s12496-010-0211-3.

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5

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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6

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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7

Manzke, Robert. "Cardiac cone-beam CT." Medical Physics 32, no. 10 (2005): 3227. http://dx.doi.org/10.1118/1.2040707.

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8

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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9

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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10

Katsevich, Alexander. "Cone Beam Local Tomography." SIAM Journal on Applied Mathematics 59, no. 6 (1999): 2224–46. http://dx.doi.org/10.1137/s0036139998336043.

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11

Turbell, Henrik, and Per-Erik Danielsson. "Helical cone-beam tomography." International Journal of Imaging Systems and Technology 11, no. 1 (2000): 91–100. http://dx.doi.org/10.1002/(sici)1098-1098(2000)11:1<91::aid-ima10>3.0.co;2-f.

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12

Cho, Myung Hye, Mohamed A. A. Hegazy, Min Hyoung Cho, and Soo Yeol Lee. "Cone-Beam Angle Dependency of 3D Models Computed from Cone-Beam CT Images." Sensors 22, no. 3 (2022): 1253. http://dx.doi.org/10.3390/s22031253.

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Cone-beam dental CT can provide high-precision 3D images of the teeth and surrounding bones. From the 3D CT images, 3D models, also called digital impressions, can be computed for CAD/CAM-based fabrication of dental restorations or orthodontic devices. However, the cone-beam angle-dependent artifacts, mostly caused by the incompleteness of the projection data acquired in the circular cone-beam scan geometry, can induce significant errors in the 3D models. Using a micro-CT, we acquired CT projection data of plaster cast models at several different cone-beam angles, and we investigated the depen
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13

Han, Won-Jeong, and Jong-Soo Kim. "EFFECTIVE DOSE FROM CONE BEAM CT FOR IMAGING OF MESIODENS." JOURNAL OF THE KOREAN ACADEMY OF PEDTATRIC DENTISTRY 39, no. 3 (2012): 273–79. http://dx.doi.org/10.5933/jkapd.2012.39.3.273.

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14

Defrise, M., and R. Clack. "A cone-beam reconstruction algorithm using shift-variant filtering and cone-beam backprojection." IEEE Transactions on Medical Imaging 13, no. 1 (1994): 186–95. http://dx.doi.org/10.1109/42.276157.

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15

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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16

Qin, Hua, and Cun Zhi Sun. "Design of Novel Beam Demagnifier Based on Total Reflection -Refraction." Advanced Materials Research 338 (September 2011): 22–25. http://dx.doi.org/10.4028/www.scientific.net/amr.338.22.

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A novel beam demagnifier(a cone) is presented based on total internal reflection-refraction principle, and the light propagation characteristics inside the cone were studied by using ray-tracing method and computer simulation. This paper presents several proof-theoretic results concerning a cone as a beam demagnifier under certain conditions. When the semiapex angle of the cone is equal to a series of specific values an output beam is parallel to an incident beam, the beam's diameter narrows, and the demagnification ratio of the cone is a function of apex angle and there exists a series of ext
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17

Ang, Shih, Wang Ge, and Cheng Ping-Chin. "Near Real-Time X-Ray Cone-Beam Microtomography." Microscopy and Microanalysis 5, S2 (1999): 940–41. http://dx.doi.org/10.1017/s143192760001802x.

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Due to the penetration ability and absorption contrast mechanism, cone-beam X-ray microtomography is a powerful tool in studying 3D microstructures in opaque specimens. In contrast to the conventional parallel and fan-beam geometry, the cone-beam tomography set up is highly desirable for faster data acquisition, build-in magnification, better radiation utilization and easier hardware implementation. However, the major draw back of the cone-beam reconstruction is its computational complexity. In an effort to maximize the reconstruction speed, we have developed a generalized Feldkamp cone-beam r
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18

Abdurahman, Shiras, Robert Frysch, Richard Bismark, Steffen Melnik, Oliver Beuing, and Georg Rose. "Beam Hardening Correction Using Cone Beam Consistency Conditions." IEEE Transactions on Medical Imaging 37, no. 10 (2018): 2266–77. http://dx.doi.org/10.1109/tmi.2018.2840343.

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19

Jaju, Prashant P., Mayuri Jain, Ajita Singh, and Akanksha Gupta. "Artefacts in cone beam CT." Open Journal of Stomatology 03, no. 05 (2013): 292–97. http://dx.doi.org/10.4236/ojst.2013.35049.

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20

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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21

Kailash, Sahithya. "CBCT – Cone Beam Computed Tomography." Journal of Academy of Dental Education 1, no. 1 (2014): 9. http://dx.doi.org/10.15423/jade/2014/v1i1/44607.

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22

Hsieh, Jiang. "Conjugate cone-beam reconstruction algorithm." Optical Engineering 46, no. 6 (2007): 067001. http://dx.doi.org/10.1117/1.2746866.

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23

Cavalcanti, Marcelo Gusmão Paraiso. "Cone Beam Computed Tomographic Imaging." Journal of Craniofacial Surgery 23, no. 1 (2012): 279–82. http://dx.doi.org/10.1097/scs.0b013e318241ba64.

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24

Hatcher, David C. "CONE-BEAM TECHNOLOGY: Author’s response." Journal of the American Dental Association 142, no. 3 (2011): 246. http://dx.doi.org/10.14219/jada.archive.2011.0151.

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25

Zeng, G. L., G. T. Gullberg, P. E. Christian, D. Gagnon, and Chi-Hua Tung. "Asymmetric cone-beam transmission tomography." IEEE Transactions on Nuclear Science 48, no. 1 (2001): 117–24. http://dx.doi.org/10.1109/23.910841.

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26

Katsevich, Alexander. "Improved cone beam local tomography." Inverse Problems 22, no. 2 (2006): 627–43. http://dx.doi.org/10.1088/0266-5611/22/2/015.

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27

Ye, Yangbo, Hengyong Yu, and Ge Wang. "Cone-beam pseudo-lambda tomography." Inverse Problems 23, no. 1 (2006): 203–15. http://dx.doi.org/10.1088/0266-5611/23/1/010.

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28

Sonke, Jan-Jakob, Lambert Zijp, Peter Remeijer, and Marcel van Herk. "Respiratory correlated cone beam CT." Medical Physics 32, no. 4 (2005): 1176–86. http://dx.doi.org/10.1118/1.1869074.

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29

Angle, John F. "Cone-Beam CT: Vascular Applications." Techniques in Vascular and Interventional Radiology 16, no. 3 (2013): 144–49. http://dx.doi.org/10.1053/j.tvir.2013.02.009.

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30

Chang, Jenghwa, Lili Zhou, Song Wang, and K. S. Clifford Chao. "Panoramic cone beam computed tomography." Medical Physics 39, no. 5 (2012): 2930–46. http://dx.doi.org/10.1118/1.4704640.

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31

Yu, Hengyong, Yangbo Ye, and Ge Wang. "Practical cone-beam lambda tomography." Medical Physics 33, no. 10 (2006): 3640–46. http://dx.doi.org/10.1118/1.2348767.

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32

Casal, Roberto F. "Cone Beam CT-Guided Bronchoscopy." Journal of Bronchology & Interventional Pulmonology 25, no. 4 (2018): 255–56. http://dx.doi.org/10.1097/lbr.0000000000000546.

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33

Cavézian, R., and G. Pasquet. "Imagerie Cone Beam et implants." Revue de Stomatologie et de Chirurgie Maxillo-faciale 113, no. 4 (2012): 245–58. http://dx.doi.org/10.1016/j.stomax.2012.05.009.

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34

Kachelrieß, Marc. "Flat Detector Cone-Beam CT." Zeitschrift für Medizinische Physik 23, no. 2 (2013): 91. http://dx.doi.org/10.1016/j.zemedi.2013.03.010.

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35

White, Stuart C. "CONE-BEAM IMAGING IN DENTISTRY." Health Physics 95, no. 5 (2008): 628–37. http://dx.doi.org/10.1097/01.hp.0000326340.81581.1a.

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36

Kim, Seong-Hee, Young-Jong Kim, Shin Kim, and Tae-Sung Jeong. "ACCURACY OF CONE-BEAM COMPUTED TOMOGRAPHY IN PREDICTING THE DIAMETER OF UNERUPTED TEETH." JOURNAL OF THE KOREAN ACADEMY OF PEDTATRIC DENTISTRY 39, no. 2 (2012): 139–44. http://dx.doi.org/10.5933/jkapd.2012.39.2.139.

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37

Mao, Weihua, Chang Liu, Stephen J. Gardner, et al. "Evaluation and Clinical Application of a Commercially Available Iterative Reconstruction Algorithm for CBCT-Based IGRT." Technology in Cancer Research & Treatment 18 (January 1, 2019): 153303381882305. http://dx.doi.org/10.1177/1533033818823054.

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Purpose: We have quantitatively evaluated the image quality of a new commercially available iterative cone-beam computed tomography reconstruction algorithm over standard cone-beam computed tomography image reconstruction results. Methods: This iterative cone-beam computed tomography reconstruction pipeline uses a finite element solver (AcurosCTS)-based scatter correction and a statistical (iterative) reconstruction in addition to a standard kernel-based correction followed by filtered back-projection-based Feldkamp-Davis-Kress cone-beam computed tomography reconstruction. Standard full-fan ha
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38

Bieniosek, F. M., E. Henestroza, and P. Ni. "Funnel cone for focusing intense ion beams on a target." Laser and Particle Beams 28, no. 1 (2010): 209–14. http://dx.doi.org/10.1017/s0263034610000108.

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AbstractWe describe a funnel cone for concentrating an ion beam on a target. The cone utilizes the reflection characteristic of ion beams on solid walls to focus the incident beam and increase beam intensity on target. The cone has been modeled with the TRIM code. A prototype has been tested and installed for use in the 350-keV K+ NDCX target chamber.
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39

Suojärvi, N., V. Haapamäki, N. Lindfors, and S. K. Koskinen. "Radiocarpal Injuries: Cone Beam Computed Tomography Arthrography, Magnetic Resonance Arthrography, and Arthroscopic Correlation among 21 Patients." Scandinavian Journal of Surgery 106, no. 2 (2016): 173–79. http://dx.doi.org/10.1177/1457496916659226.

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Background and Aims: Patients with acute or chronic wrist pain often undergo wrist arthroscopy for evaluation of chondral and ligamentous abnormalities. The purpose of this study was to compare findings of wrist arthroscopy with cone beam computed tomography arthrography and magnetic resonance arthrography. Materials and Methods: Altogether, 21 patients with wrist pain underwent cone beam computed tomography arthrography, magnetic resonance arthrography, and wrist arthroscopy. Chondral surfaces of the scaphoid, lunate, and radius facing the scaphoid and lunate were evaluated. The scapholunate
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40

Krivopalov, A. A., I. E. Glazev, I. S. Piskunov, and P. A. Shamkina. "CONE BEAM COMPUTED CONE BEAM COMPUTER TOMOGRAPHY AS A DIAGNOSTIC METHOD FOR ODONTOGENIC MAXILLARY SINUSITIS." Современные проблемы науки и образования (Modern Problems of Science and Education), no. 2 2020 (2020): 4. http://dx.doi.org/10.17513/spno.29576.

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41

Yao, W., C. Hua, J. Farr, S. Brady, and T. Merchant. "SU-F-J-205: Effect of Cone Beam Factor On Cone Beam CT Number Accuracy." Medical Physics 43, no. 6Part12 (2016): 3455–56. http://dx.doi.org/10.1118/1.4956113.

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42

Fukunishi, Yasunobu. "Evaluation and Problem of Cone-beam CT in Angiography 2. Cone-beam Computed Tomography Imaging." Japanese Journal of Radiological Technology 66, no. 3 (2010): 265–70. http://dx.doi.org/10.6009/jjrt.66.265.

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43

Shen, C., B. Li, Y. Lou, and X. Jia. "Element-Resolved Multi-energy Cone Beam CT Realized on a Conventional Cone Beam CT Platform." International Journal of Radiation Oncology*Biology*Physics 99, no. 2 (2017): S94. http://dx.doi.org/10.1016/j.ijrobp.2017.06.227.

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44

Gadda, Rohit B., Rohini Salvi, and Neha Anil Patil. "Cone Beam Computed Tomography: Adding the Third Dimension." Journal of Contemporary Dentistry 2, no. 3 (2012): 84–88. http://dx.doi.org/10.5005/jp-journals-10031-1017.

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ABSTRACT Cone beam computed tomography is a comparatively new threedimensional imaging technology, which has been specially developed for imaging of the maxillofacial complex. The aim of this paper is to accustom the dental fraternity with the wide and potential applications of cone beam computed tomography in dentistry. How to cite this article Patil NA, Gadda R, Salvi R. Cone Beam Computed Tomography: Adding the Third Dimension. J Contemp Dent 2012;2(3):84-88
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45

Lee, Taewon, Changwoo Lee, Jongduk Baek, and Seungryong Cho. "Moving Beam-Blocker-Based Low-Dose Cone-Beam CT." IEEE Transactions on Nuclear Science 63, no. 5 (2016): 2540–49. http://dx.doi.org/10.1109/tns.2016.2604343.

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46

Bhagwat, Mandar S., Manuel Blessing, Yulia Lyatskaya, and Piotr Zygmanski. "A phenomenological kV beam model for cone-beam imaging." Physics in Medicine and Biology 55, no. 19 (2010): 5787–99. http://dx.doi.org/10.1088/0031-9155/55/19/011.

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47

Yang, Jiansheng, Xiaohu Guo, Qiang Kong, Tie Zhou, and Ming Jiang. "Parallel Implementation of Katsevich's FBP Algorithm." International Journal of Biomedical Imaging 2006 (2006): 1–8. http://dx.doi.org/10.1155/ijbi/2006/17463.

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For spiral cone-beam CT, parallel computing is an effective approach to resolving the problem of heavy computation burden. It is well known that the major computation time is spent in the backprojection step for either filtered-backprojection (FBP) or backprojected-filtration (BPF) algorithms. By the cone-beam cover method [1], the backprojection procedure is driven by cone-beam projections, and every cone-beam projection can be backprojected independently. Basing on this fact, we develop a parallel implementation of Katsevich's FBP algorithm. We do all the numerical experiments on a Linux clu
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48

Rohe, Sebastian, Patrick Strube, Alexander Hölzl, Sabrina Böhle, Timo Zippelius, and Chris Lindemann. "Cone-Beam Navigation Can Reduce the Radiation Exposure and Save Fusion Length-Dependent Operation Time in Comparison to Conventional Fluoroscopy in Pedicle-Screw-Based Lumbar Interbody Fusion." Journal of Personalized Medicine 12, no. 5 (2022): 736. http://dx.doi.org/10.3390/jpm12050736.

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This study investigates the advantages and disadvantages of cone-beam-based navigated standardized posterior lumbar interbody fusion surgery (PLIF), regarding the radiation exposure and perioperative time management, compared to the use of fluoroscopy. Patients treated receiving an elective one- to three-level PLIF were retrospectively enrolled in the study. The surgery time, preparation time, operation room time, and effective dose (mSv) were analyzed for comparison of the radiation exposure and time consumption between cone-beam and fluoroscopy; Results: 214 patients were included (108 cone-
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49

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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50

Yin, Zhye, Bruno De Man, and Jed Pack. "3D Analytic Cone-Beam Reconstruction for Multiaxial CT Acquisitions." International Journal of Biomedical Imaging 2009 (2009): 1–11. http://dx.doi.org/10.1155/2009/538389.

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A conventional 3rd generation Computed Tomography (CT) system with a single circular source trajectory is limited in terms of longitudinal scan coverage since extending the scan coverage beyond 40 mm results in significant cone-beam artifacts. A multiaxial CT acquisition is achieved by combining multiple sequential 3rd generation axial scans or by performing a single axial multisource CT scan with multiple longitudinally offset sources. Data from multiple axial scans or multiple sources provide complementary information. For full-scan acquisitions, we present a window-based 3D analytic cone-be
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