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基于双网格策略的有限投影荧光分子断层成像重建

Reconstruction for Limited-Projection Fluorescence Molecular Tomography Based on a Double-Mesh Strategy.

作者信息

Yi Huangjian, Zhang Xu, Peng Jinye, Zhao Fengjun, Wang Xiaodong, Hou Yuqing, Chen Duofang, He Xiaowei

机构信息

School of Information Sciences and Technology, Northwest University, Xi'an, Shaanxi 710069, China.

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

出版信息

Biomed Res Int. 2016;2016:5682851. doi: 10.1155/2016/5682851. Epub 2016 Oct 17.

DOI:10.1155/2016/5682851
PMID:27830148
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5086542/
Abstract

Limited-projection fluorescence molecular tomography (FMT) has short data acquisition time that allows fast resolving of the three-dimensional visualization of fluorophore within small animal . However, limited-projection FMT reconstruction suffers from severe ill-posedness because only limited projections are used for reconstruction. To alleviate the ill-posedness, a feasible region extraction strategy based on a double mesh is presented for limited-projection FMT. First, an initial result is rapidly recovered using a coarse discretization mesh. Then, the reconstructed fluorophore area in the initial result is selected as a feasible region to guide the reconstruction using a fine discretization mesh. Simulation experiments on a digital mouse and small animal experiment are performed to validate the proposed strategy. It demonstrates that the presented strategy provides a good distribution of fluorophore with limited projections of fluorescence measurements. Hence, it is suitable for reconstruction of limited-projection FMT.

摘要

有限投影荧光分子断层扫描(FMT)具有较短的数据采集时间,能够快速实现小动物体内荧光团三维可视化的解析。然而,有限投影FMT重建存在严重的不适定性问题,因为重建仅使用了有限的投影数据。为了缓解不适定性,本文提出了一种基于双网格的可行区域提取策略用于有限投影FMT。首先,使用粗离散化网格快速恢复初始结果。然后,将初始结果中重建的荧光团区域选为可行区域,以指导使用精细离散化网格进行重建。通过在数字小鼠上的模拟实验和小动物实验对所提策略进行了验证。结果表明,所提策略利用有限的荧光测量投影能提供良好的荧光团分布。因此,它适用于有限投影FMT的重建。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/582e/5086542/3eef993ea051/BMRI2016-5682851.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/582e/5086542/80f097ae546a/BMRI2016-5682851.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/582e/5086542/09cb97814158/BMRI2016-5682851.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/582e/5086542/f7b4e6bc6a98/BMRI2016-5682851.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/582e/5086542/b7da753a86c9/BMRI2016-5682851.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/582e/5086542/3d4051dc7458/BMRI2016-5682851.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/582e/5086542/42f660eb3ccb/BMRI2016-5682851.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/582e/5086542/3eef993ea051/BMRI2016-5682851.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/582e/5086542/80f097ae546a/BMRI2016-5682851.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/582e/5086542/09cb97814158/BMRI2016-5682851.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/582e/5086542/f7b4e6bc6a98/BMRI2016-5682851.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/582e/5086542/b7da753a86c9/BMRI2016-5682851.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/582e/5086542/3d4051dc7458/BMRI2016-5682851.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/582e/5086542/42f660eb3ccb/BMRI2016-5682851.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/582e/5086542/3eef993ea051/BMRI2016-5682851.007.jpg

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