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基于KA有限元法的小动物锥束X射线发光断层成像

Cone Beam X-Ray Luminescence Tomography Imaging Based on KA-FEM Method for Small Animals.

作者信息

Chen Dongmei, Meng Fanzhen, Zhao Fengjun, Xu Cao

机构信息

College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.

School of Life Sciences and Technology, Xidian University, Xi'an 710071, China.

出版信息

Biomed Res Int. 2016;2016:6450124. doi: 10.1155/2016/6450124. Epub 2016 Oct 27.

DOI:10.1155/2016/6450124
PMID:27868068
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5102875/
Abstract

Cone beam X-ray luminescence tomography can realize fast X-ray luminescence tomography imaging with relatively low scanning time compared with narrow beam X-ray luminescence tomography. However, cone beam X-ray luminescence tomography suffers from an ill-posed reconstruction problem. First, the feasibility of experiments with different penetration and multispectra in small animal has been tested using nanophosphor material. Then, the hybrid reconstruction algorithm with KA-FEM method has been applied in cone beam X-ray luminescence tomography for small animals to overcome the ill-posed reconstruction problem, whose advantage and property have been demonstrated in fluorescence tomography imaging. The mouse experiment proved the feasibility of the proposed method.

摘要

与窄束X射线发光断层扫描相比,锥束X射线发光断层扫描能够以相对较短的扫描时间实现快速X射线发光断层成像。然而,锥束X射线发光断层扫描存在重建问题不适定的情况。首先,使用纳米磷光体材料测试了在小动物中进行不同穿透深度和多光谱实验的可行性。然后,将基于KA有限元法的混合重建算法应用于小动物锥束X射线发光断层扫描,以克服重建问题不适定的情况,该算法的优势和特性已在荧光断层成像中得到证明。小鼠实验证明了该方法的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed79/5102875/7b066d8861fe/BMRI2016-6450124.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed79/5102875/080c7788c15a/BMRI2016-6450124.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed79/5102875/e8a852b3555d/BMRI2016-6450124.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed79/5102875/7b066d8861fe/BMRI2016-6450124.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed79/5102875/080c7788c15a/BMRI2016-6450124.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed79/5102875/e8a852b3555d/BMRI2016-6450124.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed79/5102875/7b066d8861fe/BMRI2016-6450124.003.jpg

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本文引用的文献

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X-ray luminescence computed tomography imaging based on X-ray distribution model and adaptively split Bregman method.基于X射线分布模型和自适应分裂布雷格曼方法的X射线发光计算机断层扫描成像
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