基于多级自适应有限元方法的生物发光断层成像  

Bioluminescence Tomography Based on Multilevel Adaptive Finite Element Method

作　　者：黄俊龙 余景景[1] Huang Junlong;Yu Jingjing(School of Physics and Information Technology, Shaanxi Normal University, Xi＇an, Shannxi 710119, China)

机构地区：[1]陕西师范大学物理学与信息技术学院,陕西西安710119

出　　处：《中国激光》2018年第6期211-217,共7页Chinese Journal of Lasers

基　　金：国家自然科学基金(61401264)

摘　　要：生物发光断层成像(BLT)是利用生物体表面光强信息,重建出荧光光源在生物体内三维分布的一种新兴光学分子影像技术。由于生物体表面的测量信息有限,并且生物体内组织结构复杂,BLT的光源重建有着严重的病态性。为提高光源重建质量,提出了一种结合可行域收缩策略的多级自适应有限元光源重建方法。为了评估该方法的光源定位能力和能量密度定量能力,在数字鼠模型上分别设计了单光源和双光源实验。结果表明,本文方法可以显著提高光源的定位精度和能量密度。Bioluminescence tomography（BLT）is a new optical molecular imaging technique that utilizes the light intensity information on the surface of biological tissues to reconstruct the three-dimensional distribution of the internal bioluminescent source.The source reconstruction of BLT has serious morbidity due to the limited measurements of light intensity and the complicated structure of biological tissue.A multilevel adaptive finite element method for BLT is proposed,which is combined with the permissible regional-shrinking strategy to improve the quality of the reconstruction.Simulations of single-source and double-source based on the digital mouse model are designed to assess the localization ability of light source and the quantification ability of energy density of the method,respectively.The results show that the proposed method can significantly improve the positioning accuracy and energy density of the light source.

关 键 词：生物光学 生物发光断层成像 图像重建 自适应有限元 逆问题 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] Q632[自动化与计算机技术—计算机科学与技术]