Probabilistic streamline q-ball tractography using the residual bootstrap
Probabilistic streamline q-ball tractography using the residual bootstrap
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DOI：
10.1016/j.neuroimage.2007.08.021
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发表时间：
2008-01-01
期刊：
影响因子：
5.7
通讯作者：
Henry, Roland G.
中科院分区：
文献类型：
--
作者：
Bermnan, Jeffrey I.;Chung, SungWon;Henry, Roland G.
q球成像能够在复杂的白质结构区域内区分多个体素内纤维群。该信息可用于光纤跟踪；然而，扩散MR容易受到噪声和多种其他不确定源的影响，这些不确定源会影响光纤束的测量方向。残差自举法利用高角分辨率扩散成像（HARDI）数据的球谐表示来估计多模态q球重构中的不确定性。通过仿真验证了q球残差自举法的精度。然后将残差自举法与q球成像相结合，构造了一种概率流线纤维跟踪算法。残差自引导q球纤维跟踪算法能够通过半椎体白质束交叉区域跟踪皮质脊髓束和胼胝体。该纤维跟踪算法是对先前扩散张量法的改进，可以在临床可行的时间框架内获得q球数据。(C) 2007爱思唯尔公司版权所有。
Q-ball imaging has the ability to discriminate multiple intravoxel fiber populations within regions of complex white matter architecture. This information can be used for fiber tracking; however, diffusion MR is susceptible to noise and multiple other sources of uncertainty affecting the measured orientation of fiber bundles. The proposed residual bootstrap method utilizes a spherical harmonic representation for high angular resolution diffusion imaging (HARDI) data in order to estimate the uncertainty in multimodal q-ball reconstructions. The accuracy of the q-ball residual bootstrap technique was examined through simulation. The residual bootstrap method was then used in combination with q-ball imaging to construct a probabilistic streamline fiber tracking algorithm. The residual bootstrap q-ball fiber tracking algorithm is capable of following the corticospinal tract and corpus callosum through regions of crossing white matter tracts in the centrum semiovale. This fiber tracking algorithm is an improvement upon prior diffusion tensor methods and the q-ball data can be acquired in a clinically feasible time frame. (C) 2007 Elsevier Inc. All rights reserved.