Validation and regularization in diffusion MRI tractography

被引：0
|
作者：
Campbell, J. S. W. [1 ,2 ]
Savadjiev, P. [2 ]
Siddiqi, K. [2 ]
Pike, G. B. [1 ]
机构：
[1] McGill Univ, Montreal Neurol Inst, 3801 Univ St, Montreal, PQ H3A 2T5, Canada
[2] McGill Univ, Ctr Intelligent Mech, Montreal, PQ, Canada
来源：
2006 3RD IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1-3 | 2006年
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D O I：
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中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
We present a physical phantom designed for fibre tractography validation and use it to evaluate tracking algorithms that employ (a) the classic diffusion tensor model of diffusion, (b) high angular resolution reconstruction of the diffusion orientation distribution function (ODF), and (c) a regularization algorithm capable of inferring complex subvoxel fibre configurations. This work addresses four issues in diffusion MRI tractography: validation of the tracking process using ground truth, evaluation of different approaches for diffusion ODF reconstruction, coping with imaging noise, and coping with confounding subvoxel fibre configurations.
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页码：351 / +
页数：2
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