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A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography

A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography,10.1016/j.media.2011.01.003,Medical Image Analysis,Iman

A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography   (Citations: 3)
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A global probabilistic fiber tracking approach based on the voting process provided by the Hough transform is introduced in this work. The proposed framework tests candidate 3D curves in the volume, assigning to each one a score computed from the diffusion images, and then selects the curves with the highest scores as the potential anatomical connections. The algorithm avoids local minima by performing an exhaustive search at the desired resolution. The technique is easily extended to multiple subjects, considering a single representative volume where the registered high-angular resolution diffusion images (HARDI) from all the subjects are non-linearly combined, thereby obtaining population-representative tracts. The tractography algorithm is run only once for the multiple subjects, and no tract alignment is necessary. We present experimental results on HARDI volumes, ranging from simulated and 1.5T physical phantoms to 7T and 4T human brain and 7T monkey brain datasets.
Journal: Medical Image Analysis - MED IMAGE ANAL , vol. 15, no. 4, pp. 414-425, 2011
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    • ...Here we used a novel HARDI tractography algorithm based on the Hough transform [8] to extract tracts throughout the entire brain...
    • ...Further details of the method may be found in [8]...

    Neda Jahanshadet al. Sex differences in the human connectome: 4Tesla high angular resolutio...

    • ...We analyzed two different tractography methods to explore the robustness of our clustering technique: (1) a novel Hough transform method to compute optimal paths through a field of constant solid angle orientation distribution functions (CSA-ODFs) derived from the HARDI data [12], and (2) a streamline-based method based on the diffusion tensor [13]...
    • ...The Hough transform method [12] tests 3D fibers that pass through seed points throughout the image space...

    Gautam Prasadet al. Atlas-based fiber clustering for multi-subject analysis of high angula...

    • ...This method uses a voting procedure to perform an exhaustive search of all candidate fibers based on path integrals in the orientation distribution function (ODF) field, and their fractional anisotropy (FA) [8]...
    • ...We then performed whole-brain tractography with a global probabilistic approach that uses the Hough transform as a voting procedure [8]...

    Yan Jinet al. 3D elastic registration improves HARDI-derived fiber alignment and aut...

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