Sinogram-based adaptive iterative reconstruction for sparse view x-ray computed tomography; Proceedings of SPIE; Vol. 10020 : Optoelectronic Imaging and Multimedia Technology IV

Sinogram-based adaptive iterative reconstruction for sparse view x-ray computed tomography; Proceedings of SPIE; Vol. 10020 : Optoelectronic Imaging and Multimedia Technology IV

Bibliographic Details
Parent link:Proceedings of SPIE
Vol. 10020 : Optoelectronic Imaging and Multimedia Technology IV.— 2016.— [100201G, 7 p.]
Corporate Authors: Национальный исследовательский Томский политехнический университет, Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Российско-китайская научная лаборатория радиационного контроля и досмотра (РКНЛ РКД)
Other Authors: Trinca D., Zhong Yang, Wang Yanzhao, Mamyrbaev T. A. Talgat Askarbekovich, Libin E. E. Eduard Efimovich
Summary:Title screen
With the availability of more powerful computing processors, iterative reconstruction algorithms have recentlybeen successfully implemented as an approach to achieving significant dose reduction in X-ray CT. In thispaper, we propose an adaptive iterative reconstruction algorithm for X-ray CT, that is shown to provide resultscomparable to those obtained by proprietary algorithms, both in terms of reconstruction accuracy and executiontime. The proposed algorithm is thus provided for free to the scientific community, for regular use, and forpossible further optimization.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2016
Subjects:
электронный ресурс
труды учёных ТПУ
итеративная реконструкция
оптимизация
рентгеновская томография
Online Access:http://dx.doi.org/10.1117/12.2247854
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=656365

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