Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Bioluminescence Tomography Based on Gaussian Weighted Laplace Prior Regularization for In Vivo Morphological Imaging of Glioma | |
Gao, Yuan1,4; Wang, Kun1; Jiang, Shixin2; Liu, Yuhao2; Ai, Ting3; Tian, Jie1,4 | |
发表期刊 | IEEE TRANSACTIONS ON MEDICAL IMAGING |
2017-11-01 | |
卷号 | 36期号:11页码:2343-2354 |
文章类型 | Article |
摘要 | Bioluminescence tomography (BLT) is a powerful non-invasive molecular imaging tool for in vivo studies of glioma in mice. However, because of the light scattering and resulted ill-posed problems, it is challenging to develop a sufficient reconstruction method, which can accurately locate the tumor and define the tumor morphology in three-dimension. In this paper, we proposed a novel Gaussian weighted Laplace prior (GWLP) regularization method. It considered the variance of the bioluminescence energy between any two voxels inside an organ had a non-linear inverse relationship with their Gaussian distance to solve the over-smoothed tumor morphology in BLT reconstruction. We compared the GWLP with conventional Tikhonov and Laplace regularization methods through various numerical simulations and in vivo orthotopic glioma mouse model experiments. The in vivo magnetic resonance imaging and ex vivo green fluorescent protein images and hematoxylin-eosin stained images of whole head cryoslicing specimens were utilized as gold standards. The results demonstrated that GWLP achieved the highest accuracy in tumor localization and tumor morphology preservation. To the best of our knowledge, this is the first study that achieved such accurate BLT morphological reconstruction of orthotopic glioma without using any segmented tumor structure from any other structural imaging modalities as the prior for reconstruction guidance. This enabled BLT more suitable and practical for in vivo imaging of orthotopic glioma mouse models. |
关键词 | Bioluminescence Tomography Multimodality Fusion Brain |
WOS标题词 | Science & Technology ; Technology ; Life Sciences & Biomedicine |
DOI | 10.1109/TMI.2017.2737661 |
关键词[WOS] | FLUORESCENCE MOLECULAR TOMOGRAPHY ; RECONSTRUCTION METHOD ; OPTICAL TOMOGRAPHY ; LIGHT ; INFORMATION ; ALGORITHM ; MRI ; OPTIMIZATION ; SYSTEM ; REGION |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Basic Research Program of China (973 Program)(2015CB755500) ; National Natural Science Foundation of China(81227901 ; CAS Youth Innovation Promotion Association(Y6S7021X51) ; 61671449 ; 81527805 ; 61231004 ; 61401462) |
WOS研究方向 | Computer Science ; Engineering ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000414134200014 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/19557 |
专题 | 中国科学院分子影像重点实验室 |
作者单位 | 1.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China 2.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China 3.Southern Med Univ, Zhujiang Hosp, Dept Hepatobiliary Surg, Guangzhou 510280, Guangdong, Peoples R China 4.University of Chinese Academy of Sciences, Beijing 100049, Peoples R China |
第一作者单位 | 中国科学院分子影像重点实验室 |
推荐引用方式 GB/T 7714 | Gao, Yuan,Wang, Kun,Jiang, Shixin,et al. Bioluminescence Tomography Based on Gaussian Weighted Laplace Prior Regularization for In Vivo Morphological Imaging of Glioma[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING,2017,36(11):2343-2354. |
APA | Gao, Yuan,Wang, Kun,Jiang, Shixin,Liu, Yuhao,Ai, Ting,&Tian, Jie.(2017).Bioluminescence Tomography Based on Gaussian Weighted Laplace Prior Regularization for In Vivo Morphological Imaging of Glioma.IEEE TRANSACTIONS ON MEDICAL IMAGING,36(11),2343-2354. |
MLA | Gao, Yuan,et al."Bioluminescence Tomography Based on Gaussian Weighted Laplace Prior Regularization for In Vivo Morphological Imaging of Glioma".IEEE TRANSACTIONS ON MEDICAL IMAGING 36.11(2017):2343-2354. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Bioluminescence Tomo(1962KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
TMI_corrections.pdf(348KB) | 其他 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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