会议专题

Multimodality white matter tract segmentation using CNN

  Diffusion-weighted MRI tractography combining with fiber clus-tering is a typical approaches of white matter tract segmentation.However,due to the anatomical accuracy of the diffusion-weighted images(DWI)and complicated processing procedure,this approach suffer many inherent limitations that it is difficult to handle complex fibers well and might introduce subtle errors in further process-ing steps.In this paper,we proposed a novel white matter tract segmentation method with dual input convolutional neural net-work to fuse two modal data.Specifically,the structural tensor of Tl-Weighted(T1W)MR images was introduced to complement to the peaks of fiber orientation distribution function(fODF).The proposed method has been experimented with 105 subjects of Hu-man Connect project and proved to more accurately identify white matter bundles than existing methods.

diffusion-weighted imaging structure tensor segmentation deep learning multimodal data

Xiaofeng Dong Zhipeng Yang Jing Peng Xi Wu

Chengdu University of Information Technology Chengdu,China

国际会议

2019国图灵大会(ACM Turing Celebration conference-China 2019 )

成都

英文

889-896

2019-05-17(万方平台首次上网日期,不代表论文的发表时间)