NDLI: Study and preliminary application of an improved fiber tracking algorithm in central nervous system

Content Provider	IEEE Xplore Digital Library
Author	Liuhong Zhu Yonggui Yang Gang Guo
Copyright Year	2011
Description	Author affiliation: Radiology Department, Xiamen No.2 Hospital, Xiamen, China (Liuhong Zhu; Yonggui Yang; Gang Guo)
Abstract	As a noninvasive fiber visualization imaging technique, DTI has been developed rapidly in recent years. It has been considered to have high potential value in the diagnosis and treatment of the nervous system diseases. And in the applications of DTI, the fiber tracking algorithm is critical to the visualization results. So far, researchers have proposed many 3D visualization methods. Among them, Fiber Assignment by Continuous Tracking (FACT) algorithm is the most commonly used one, especially in white matter fiber tracking. But it is powerless to deal with the fiber crossing problem. In this paper, based on FACT algorithm under traditional single-tensor model, two-tensor model is enrolled to try to solve this kind of problem. We proposed a better fiber tracking way by the combination of these two models. At last, we applied it to some nervous system diseases.
Starting Page	506
Ending Page	509
File Size	594924
Page Count	4
File Format	PDF
ISBN	9781424493517
e-ISBN	9781424493524
DOI	10.1109/BMEI.2011.6098283
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Demyelinating Desease Diffusion Tensor Imaging(DTI) Tensile stress Anisotropic magnetoresistance Estimation Diffuse Axonal Injury Two-tensor Model Mathematical model Injuries Fiber Tracking Diseases Diffusion tensor imaging
Content Type	Text
Resource Type	Article

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