Titlebook: Computational Diffusion MRI and Brain Connectivity; MICCAI Workshops, Na Thomas Schultz,Gemma Nedjati-Gilani,Eleftheria Pan Conference proc

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Choosing a Tractography Algorithm: On the Effects of Measurement Noise hence for mapping of structural connectivity in the human brain. This renders it crucially important to understand the influence of the various MRI imaging artifacts on the tractography results. In this paper, we focus on the thermal noise that is present in all MRI measurements and compare its eff

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Groupwise Registration for Correcting Subject Motion and Eddy Current Distortions in Diffusion MRI Uaused by subject motion and eddy current induced geometric distortions. Conventional methods adopt a pairwise registration approach, in which the non-DWI, a.k.a. the b = 0 image, is used as a reference. In this work, a groupwise affine registration framework, using a global dissimilarity metric, is

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1612-3786 as offers new perspectives and insights on current research challenges for those currently in the field. It will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics..978-3-319-37684-4978-3-319-02475-2Series ISSN 1612-3786 Series E-ISSN 2197-666X

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neue betriebswirtschaftliche forschung (nbf)onnectivity and diffusion measures such as FA, is not known. In this work, we use multi-tensor based fiber connectivity to compare data acquired on two subjects with different acceleration factors (. = 1, 2, 3). We investigate and report the reproducibility of fiber bundles and diffusion measures be

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Schriftenreihe Besteuerung der Unternehmung model that predicts the DWI data from all the diffusion gradients by the underpinning tissue microstructure. As a proof-of-concept, we show that the proposed SRR approach provides more accurate reconstruction results than the current SRR technique with synthetic white matter phantoms.

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