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Bioluminescence Tomography Based on Gaussian Weighted Laplace Prior Regularization for In Vivo Morphological Imaging of Glioma
Gao, Yuan1; Wang, Kun1; Jiang, Shixin2; Liu, Yuhao2; Ai, Ting3; Tian, Jie1,4
2017-11-01
发表期刊IEEE TRANSACTIONS ON MEDICAL IMAGING
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
DOI10.1109/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.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
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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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