Parallel Multi-Material Decomposition of Dual-Energy CT Data

被引：0
|
作者：
Maia, Rafael Simon [1 ]
Jacob, Christian [1 ]
Mitchell, J. Ross [2 ]
Hara, Amy K. [2 ]
Silva, Alvin C. [2 ]
Pavlicek, William [2 ]
机构：
[1] Univ Calgary, Dept Comp Sci, Calgary, AB T2N 1N4, Canada
[2] Mayo Clin, Dept Radiol, Scottsdale, AZ 85259 USA
来源：
2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) | 2013年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Dual-Energy Computed Tomography (DECT) is a new modality of CT where two images are acquired simultaneously at two energy levels, and then decomposed into two material density images. It is also possible to further decompose these images into volume fraction images that approximate the percentage of a given material at each pixel. Here, we describe a novel parallel version of the multilateral decomposition algorithm proposed by Mendonca et al., which is used to obtain volume fraction images. Our parallel version accelerates decomposition by 200x. We also discuss some of the algorithm limitations.
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收藏
页码：465 / 468
页数：4
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