中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Bioluminescence Tomography Based on Bilateral Weight Laplace method for In vivo Morphological Imaging of Glioma

文献类型:会议论文

作者Gao, Yuan1,2; Wang, Kun1,2; Meng, Hui1,2; An, Yu1,2; Jiang, Shixin4; Tian, Jie1,3
出版日期2019-03
会议日期2019.02.01
会议地点San Francisco, USA
DOI10.1117/12.2508285
英文摘要

The development of Bioluminescence Tomography (BLT) has allowed the quantitative three dimension (3D) whole body imaging and non-invasive study of biological behavior of cancer. However, the ill-posed problem of BLT reconstruction limits the quality of reconstruction result. In this work, we proposed a Bilateral Weight Laplace (BWL) method that utilizes a non-local Laplace regularization to improve the imaging quality of bioluminescence tomography reconstruction. The non-local Laplace regularization was constructed by spatial weight and range weight to penalize the neighborhood-variance of reconstructed source density in both spatial and range domain. To evaluate the performance of BWL method, both dual-source BLT reconstruction experiment in simulation data and in vivo BLT reconstruction in orthotopic glioma mouse model were designed. Furthermore, fast iterative shrinkage/threshold (FIST) method and Laplace method were utilized to compare with BWL. Both dual-source experiment and in vivo experiment demonstrate that the construction results of BWL method provide more accurate tumor position (BCE = 0.37mm in dual-source experiment) and better tumor morphological information

语种英语
源URL[http://ir.ia.ac.cn/handle/173211/23538]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Tian, Jie
作者单位1.CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China
2.The University of Chinese Academy of Sciences, Beijing, 100049, China
3.Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100191, China
4.Beijing Jiaotong University, Beijing, 100044, China
推荐引用方式
GB/T 7714
Gao, Yuan,Wang, Kun,Meng, Hui,et al. Bioluminescence Tomography Based on Bilateral Weight Laplace method for In vivo Morphological Imaging of Glioma[C]. 见:. San Francisco, USA. 2019.02.01.

入库方式: OAI收割

来源:自动化研究所

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