Fast Correction of Analytical Reconstructions in Sparse View X-ray Computed Tomography

Fast Correction of Analytical Reconstructions in Sparse View X-ray Computed Tomography

Bibliographic Details
Parent link:Progress In Electromagnetics Research Symposium - Spring (PIERS): the 38th proceedings, St. Petersburg, Russia, 22-25 May, 2017. [P. 1101-1108].— , 2017
Main Author: Trinca D.
Corporate Author: Национальный исследовательский Томский политехнический университет Инженерная школа новых производственных технологий Отделение материаловедения
Other Authors: Zhong Yang, Royuela-del-Val J. Javier
Summary: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
Published: 2017
Subjects:
электронный ресурс
труды учёных ТПУ
reconstruction algorithms
iterative algorithms
detectors
computed tomography
image reconstruction
electromagnetics
springs
алгоритмы
детекторы
компьютерная томография
изображения
электромагнетизм
Online Access:https://doi.org/10.1109/PIERS.2017.8261911
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=664822

Internet

https://doi.org/10.1109/PIERS.2017.8261911

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