Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution
نویسندگان
چکیده
منابع مشابه
Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution.
Constrained spherical deconvolution (CSD) is a new technique that, based on high-angular resolution diffusion imaging (HARDI) MR data, estimates the orientation of multiple intravoxel fiber populations within regions of complex white matter architecture, thereby overcoming the limitations of the widely used diffusion tensor imaging (DTI) technique. One of its main applications is fiber tractogr...
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Introduction Bootstrap methods were recently introduced in diffusion tensor imaging (DTI) to investigate the measurement precision of tensor derived parameters such as the apparent diffusion coefficient or the fractional anisotropy (FA) value [1-5]. Furthermore, the cone of uncertainty (CU) [2] provides an estimation of the variation in the direction of the tensor’s principal eigenvector. This ...
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BACKGROUND AND PURPOSE Imaging the optic radiation (OR) is of considerable interest in studying diseases affecting the visual pathway and for pre-surgical planning of temporal lobe resections. The purpose of this study was to investigate the clinical feasibility of using probabilistic diffusion tractography based on constrained spherical deconvolution (CSD) to image the optic radiation. It was ...
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ژورنال
عنوان ژورنال: Human Brain Mapping
سال: 2011
ISSN: 1065-9471
DOI: 10.1002/hbm.21032