Coded-Aperture Compressed Sensing X-Ray Luminescence Tomography

被引：18
作者：
Tzoumas, Stratis [1 ]
Vernekohl, Don [1 ]
Xing, Lei [1 ]
机构：
[1] Stanford Univ, Sch Med, Dept Radiat Oncol, Stanford, CA 94305 USA
来源：
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 2018年 / 65卷 / 08期
关键词：
X-ray imaging; optical imaging; X-ray luminescence; tomography; compressed sensing;
D O I：
10.1109/TBME.2017.2770148
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Objective: The purpose of this work is to introduce and study a novel imaging geometry for X-ray luminescence computed tomography (XLCT), termed coded aperture compressive Xray luminescence tomography (CAC-XLCT). Methods: CAC-XLCT is studied through simulations of X-ray and diffuse light propagation and the implementation of a compressed sensing image reconstruction algorithm. Results: CAC-XLCT is compared against cone beam XLCT considering simulated targets with varying complexity, and it is found to offer a remarkable enhancement in spatial resolution and image quality with only a small overhead in image acquisition time. Conclusions and Significance: XLCT has been mainly investigated so far in pencil beam and cone beam excitation geometries which suffer from either very long image acquisition time or low spatial resolution and accuracy. CAC-XLCT presents a very promising alternative, which can offer simultaneously high spatial resolution, high image quality, and fast image acquisition, appropriate for in vivo imaging.
引用
收藏
页码：1892 / 1895
页数：4
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