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

Podrobná bibliografie
Parent link:Proceedings of SPIE
Vol. 10020 : Optoelectronic Imaging and Multimedia Technology IV.— 2016.— [100201G, 7 p.]
Korporace: 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)
Další autoři: Trinca D., Zhong Yang, Wang Yanzhao, Mamyrbaev T. A. Talgat Askarbekovich, Libin E. E. Eduard Efimovich
Shrnutí: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
Jazyk:angličtina
Vydáno: 2016
Témata:
On-line přístup:http://dx.doi.org/10.1117/12.2247854
Médium: Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=656365

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