CASIA OpenIR  > 脑网络组研究中心
A Bayesian approach to fiber orientation estimation guided by volumetric tract segmentation
Ye, Chuyang1,2; Prince, Jerry L.2
Source PublicationCOMPUTERIZED MEDICAL IMAGING AND GRAPHICS
2016-12-01
Volume54Issue:in pressPages:35-47
SubtypeArticle
AbstractDiffusion magnetic resonance imaging (dMRI) provides information about the microstructure of white matter in the human brain. From dMRI, streamlining tractography is often used to reconstruct computational representations of white matter tracts from which differences in structural connectivity can be explored. In the fiber tracking process, anatomical information can help reduce tracking errors caused by crossing fibers and image noise. In this paper, we propose a Bayesian method for estimating fiber orientations (FOs) guided by anatomical tract information using diffusion tensor imaging (DTI), which is a standard clinical and research dMRI protocol. The proposed method is named Fiber Orientation Reconstruction guided by Tract Segmentation (FORTS). A first step segments and labels the white matter tracts volumetrically, including explicit representations of crossing regions. A second step estimates the FOs using the diffusion information and the anatomical knowledge from segmented white matter tracts. A single FO is estimated in the noncrossing regions while two FOs are estimated in the crossing regions. A third step carries out streamlining tractography that uses information from both the segmented tracts and the estimated FOs. Experiments performed on a digital crossing phantom, a physical phantom, and brain DTI of 18 healthy subjects show that FORTS is able to use the anatomical information to produce FOs with better accuracy and to reduce anatomically incorrect streamlines. In particular, on the brain DTI data, we studied the connectivity of anatomically defined tracts to cortical areas, which is not straightforwardly achievable using only volumetric tract segmentation. These connectivity results demonstrate the potential application of FORTS to scientific studies. (C) 2016 Elsevier Ltd. All rights reserved.
KeywordDti Fiber Orientation Estimation Volumetric Tract Segmentation
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
DOI10.1016/j.compmedimag.2016.09.003
WOS KeywordGRADIENT VECTOR FLOW ; DTI TRACTOGRAPHY ; CROSSING FIBERS ; DIFFUSION MRI ; RESOLUTION ; BRAIN ; CONNECTIVITY ; DISEASE ; VALIDATION ; INTEGRITY
Indexed BySCI
Language英语
Funding OrganizationNIH/NINDS(5R01NS056307 ; China Scholarship Council ; 1R21NS082891)
WOS Research AreaEngineering ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectEngineering, Biomedical ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000390513400005
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12099
Collection脑网络组研究中心
Corresponding AuthorYe, Chuyang
Affiliation1.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing, Peoples R China
2.Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD 21218 USA
Recommended Citation
GB/T 7714
Ye, Chuyang,Prince, Jerry L.. A Bayesian approach to fiber orientation estimation guided by volumetric tract segmentation[J]. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS,2016,54(in press):35-47.
APA Ye, Chuyang,&Prince, Jerry L..(2016).A Bayesian approach to fiber orientation estimation guided by volumetric tract segmentation.COMPUTERIZED MEDICAL IMAGING AND GRAPHICS,54(in press),35-47.
MLA Ye, Chuyang,et al."A Bayesian approach to fiber orientation estimation guided by volumetric tract segmentation".COMPUTERIZED MEDICAL IMAGING AND GRAPHICS 54.in press(2016):35-47.
Files in This Item: Download All
File Name/Size DocType Version Access License
CMIG2.pdf(5693KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Ye, Chuyang]'s Articles
[Prince, Jerry L.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Ye, Chuyang]'s Articles
[Prince, Jerry L.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Ye, Chuyang]'s Articles
[Prince, Jerry L.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: CMIG2.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.