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Proceedings Paper

An RIP-based evaluation method for candidate next generation cardiac CT architectures with carbon nanotube x-ray source
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Paper Abstract

Despite impressive advancements in computed tomography (CT) technology in recent years, there are still critical and immediate needs in cardiac CT in terms of high spatial resolution, high temporal resolution and low radiation dose. Because carbon nanotube (CNT) x-ray sources can be compactly integrated, this technology can be used for multisource or stationary system to improve temporal resolution. To avoid the rotation of x-ray source, a lot of source-detector pairs are needed in a stationary CNT-based x-ray system. Limited by the space and costs, the number of source-detector pairs could not be too large, which results in a few-view scan problem. The reconstruction can be modeled as a l1-norm minimization problem, which usually can be solved by compressive sensing (CS) based algorithms. To evaluate the data completeness of candidate next generation cardiac CT architectures with CNT x-ray source, based on the fact that smaller restricted isometry property (RIP) constants lead to a better l1-norm recovery, we construct a measurement related to the RIP constants. The results show that the proposed RIP-based evaluation method coincides with the known CT reconstruction theory. This method is simple and easy to be implemented for different CT scan architectures, and it provides a practical tool to evaluate the data completeness in the framework of l1-norm recovery theory without a specific CS-based reconstruction algorithm.

Paper Details

Date Published: 17 October 2012
PDF: 13 pages
Proc. SPIE 8506, Developments in X-Ray Tomography VIII, 850610 (17 October 2012); doi: 10.1117/12.928665
Show Author Affiliations
Baodong Liu, Wake Forest Univ. School of Medicine (United States)
Ge Wang, Wake Forest Univ. School of Medicine (United States)
Virginia Polytechnic Institute and State Univ. (United States)
Bruno De Man, GE Global Research (United States)
Elizabeth Krupinski, The Univ. of Arizona (United States)
Hengyong Yu, Wake Forest Univ. School of Medicine (United States)


Published in SPIE Proceedings Vol. 8506:
Developments in X-Ray Tomography VIII
Stuart R. Stock, Editor(s)

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