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An application of SART to ionosphere was presented by
Hobiger et al. Their method does not use matrix algebra and therefore it can be implemented in a low-level programming language. Its convergence speed is significantly higher than that of classical SART. A discrete version of SART called DART was
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As a measure of its popularity, researchers have proposed various extensions to SART: OS-SART, FA-SART, VW-OS-SART, SARTF, etc. Researchers have also studied how SART can best be implemented on different
62:, and other reconstruction applications. Convergence of the SART algorithm was theoretically established in 2004 by Jiang and Wang. Further convergence analysis was done by Yan.
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Byrne, C. A unified treatment of some iterative algorithms in signal processing and image reconstruction. Inverse
Problems 20 103 (2004)
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Andersen, A.; Kak, A. (1984). "Simultaneous
Algebraic Reconstruction Technique (SART): A Superior Implementation of ART".
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Batenburg, K.J.; Sijbers, J. (2011). "DART: a practical reconstruction algorithm for discrete tomography".
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Jiang, M.; Wang, G. (2003). "Convergence of the simultaneous algebraic reconstruction technique (SART)".
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in 1984. It generates a good reconstruction in just one iteration and it is superior to standard
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algorithm useful in cases when the projection data is limited; it was proposed by
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Zang, G.; Idoughi, R.; Tao, R.; Lubineau, G.; Wonka, P.; Heidrich, W. (2018).
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architectures. SART and its proposed extensions are used in emission CT in
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119:"Variable Weighted Ordered Subset Image Reconstruction Algorithm"
170:"Space-time Tomography for Continuously Deforming Objects"
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Pan, Jinxiao; Zhou, Tie; Han, Yan; Jiang, Ming (2006).
279:ftp://ftp.math.ucla.edu/pub/camreport/cam10-27.pdf
20:Simultaneous algebraic reconstruction technique
291:"Abstract: EPS, Vol. 60 (No. 7), pp. 727-735"
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123:International Journal of Biomedical Imaging
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306:IEEE Transactions on Image Processing
230:IEEE Transactions on Image Processing
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66:developed by Batenburg and Sijbers.
16:Algorithm in computerised tomography
44:algebraic reconstruction technique
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58:, dynamic CT, and holographic
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174:ACM Transactions on Graphics
96:10.1016/0161-7346(84)90008-7
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326:10.1109/tip.2011.2131661
250:10.1109/tip.2003.815295
187:10.1145/3197517.3201298
136:10.1155/IJBI/2006/10398
28:computerized tomography
318:2011ITIP...20.2542B
242:2003ITIP...12..957J
52:parallel processing
84:Ultrasonic Imaging
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371:Inverse problems
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180:(4): 1–14.
40:Avinash Kak
355:Categories
70:References
60:tomography
361:Radiology
342:16983053
334:21435983
266:16267223
258:18237969
155:23165012
314:Bibcode
238:Bibcode
206:5064003
146:2324020
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104:6548059
46:(ART).
32:imaging
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338:S2CID
262:S2CID
202:S2CID
30:(CT)
330:PMID
254:PMID
151:PMID
127:2006
100:PMID
38:and
24:SART
322:doi
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192:hdl
182:doi
141:PMC
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