谷歌浏览器插件
订阅小程序
在清言上使用

Final Design Of The C-Spect-I Lab-Prototype

2015 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC)(2015)

引用 4|浏览21
暂无评分
摘要
Improving system sensitivity without sacrificing imaging resolution is the key to improving the performance of cardiac SPECT imaging. This sensitivity increase is needed for reducing imaging time, or radiation dose, and/or motion artifacts for clinical imaging studies, as well as for exploration of new clinical applications. In addition, attenuation correction is necessary to yield quantitative information- the long-standing goal of SPECT imaging. These goals can be met by C-SPECT our proposed dedicated cardiac platform for SPECT imaging. High sensitivity is accomplished by C-SPECT's optimized detection and system geometry, which wraps around patients' left-front thorax and provides the highest practical geometric efficiency for any spatial resolution of collimation. The first generation of C-SPECT platform- C-SPECT-I is the simplified version that uses parallel axial collimation instead of the ultimate 3D converging collimation. In the presented final design, C-SPECT-I's variable collimation system provides 5 slit-arcs, for transaxial collimation to match with 2 slat-stacks, for axial collimation, to provide high system sensitivity and a large number of simultaneous projections. This lab-prototype will provide a system sensitivity that is 2.5 times that of a dual-head SPECT system for heart imaging with the same hardware resolution at the center of the imaging volume as well as unprecedented functionality and operational versatility.
更多
查看译文
关键词
C-SPECT-I lab-prototype,cardiac SPECT imaging,radiation dose,motion artifacts,clinical imaging,clinical applications,attenuation correction,C-SPECT optimized detection,left-front thorax,geometric efficiency,spatial resolution,parallel axial collimation,3D converging collimation,C-SPECT-I variable collimation system,transaxial collimation,dual-head SPECT system,heart imaging,hardware resolution
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要