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

Detalhes bibliográficos
Parent link:	Proceedings of SPIE Vol. 10020 : Optoelectronic Imaging and Multimedia Technology IV.— 2016.— [100201G, 7 p.]
Corporate Authors:	Томский политехнический университет, Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Российско-китайская научная лаборатория радиационного контроля и досмотра (РКНЛ РКД)
Outros Autores:	Trinca D., Zhong Yang, Wang Yanzhao, Mamyrbaev T. A. Talgat Askarbekovich, Libin E. E. Eduard Efimovich
Resumo:	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
Idioma:	inglês
Publicado em:	2016
Assuntos:	электронный ресурс труды учёных ТПУ итеративная реконструкция оптимизация рентгеновская томография
Acesso em linha:	http://dx.doi.org/10.1117/12.2247854
Formato:	Recurso Electrónico Capítulo de Livro
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=656365

Internet

http://dx.doi.org/10.1117/12.2247854