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![]() ![]() ![]() ![]() |
出版日期 | 2019-03 |
会议日期 | 2019.02.01 |
会议地点 | San Francisco, USA |
DOI | 10.1117/12.2508285 |
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
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。