Fast Correction of Analytical Reconstructions in Sparse View X-ray Computed Tomography; Progress In Electromagnetics Research Symposium - Spring (PIERS)

Fast Correction of Analytical Reconstructions in Sparse View X-ray Computed Tomography; Progress In Electromagnetics Research Symposium - Spring (PIERS)

Detaylı Bibliyografya
Parent link:	Progress In Electromagnetics Research Symposium - Spring (PIERS).— 2017.— [P. 1101-1108]
Yazar:	Trinca D.
Müşterek Yazar:	Национальный исследовательский Томский политехнический университет Инженерная школа новых производственных технологий Отделение материаловедения
Diğer Yazarlar:	Zhong Yang, Royuela-del-Val J. Javier
Özet:	Title screen With the availability of more powerful computers, iterative reconstruction algorithms are the subject of an ongoing work in the design of more efficient reconstruction algorithms for X-ray computed tomography. In this work, we show how two analytical reconstruction algorithms can be improved by correcting the corresponding reconstructions using a randomized iterative reconstruction algorithm. The combined analytical reconstruction followed by randomized iterative reconstruction can also be viewed as a reconstruction algorithm which, in the experiments we have conducted, uses up to 35% less projection angles as compared to the analytical reconstruction algorithms and produces the same results in terms of quality of reconstruction, without increasing the execution time significantly. Режим доступа: по договору с организацией-держателем ресурса
Dil:	İngilizce
Baskı/Yayın Bilgisi:	2017
Konular:	электронный ресурс труды учёных ТПУ reconstruction algorithms iterative algorithms detectors computed tomography image reconstruction electromagnetics springs алгоритмы детекторы компьютерная томография изображения электромагнетизм
Online Erişim:	https://doi.org/10.1109/PIERS.2017.8261911
Materyal Türü:	Elektronik Kitap Bölümü
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=664822

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