Multi-Energy CT with Triple X-ray Beams and Photon-Counting-Detector CT for Simultaneous Imaging of Two Contrast Agents: An Experimental Comparison

被引:0
|
作者
Ren, Liqiang [1 ]
McCollough, Cynthia H. [1 ]
Yu, Lifeng [1 ]
机构
[1] Mayo Clin, Dept Radiol, Rochester, MN 55902 USA
基金
美国国家卫生研究院;
关键词
Multi-energy CT (MECT); Photon-counting-detector CT (PCD-CT); Dual-energy CT (DECT); Material Decomposition; Multiple Contrast Agents; DUAL-ENERGY CT; IODINE;
D O I
10.1117/12.2513460
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Multi-energy CT (MECT) enabled by energy-resolved photon-counting-detector CT (PCD-CT) is promising for material specific imaging with multiple contrast agents. However, non-idealities of the PCD such as pulse pileup, K-edge escape, and charge sharing may degrade the spectral performance. To perform MECT, an alternative approach was proposed by extending a "Twin Beam" design to a dual-source CT scanner with energy-integrating-detector (EID) by operating one or both sources in the "Twin Beam" mode to acquire three (triple beam configuration) or four (quadruple-beam configuration) distinct X-ray beam measurements. Previous computer simulation studies demonstrated that the image quality and dose efficiency of the triple-beam configuration were comparable to that in PCD-CT for a three-material decomposition task involving iodine, bismuth, and water. The purpose of this work is to experimentally validate the proposed triple-beam MECT technique in comparison with PCD-CT. To mimic the dual-source triple-beam acquisition, two separate scans, one at 80 kV and the other at 120 kV operated in the "Twin Beam" mode, were performed on a single-source CT scanner. Two potential clinical applications of MECT for multiple contrast agents were investigated: iodine/gadolinium for biphasic liver imaging and iodine/bismuth for small bowel imaging. The results indicate that the imaging performance of the EID-based MECT may be comparable to that on the current PCD-CT platform for both the iodine/gadolinium and the iodine/bismuth material decomposition tasks.
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页数:6
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