Titlebook: Computational Diffusion MRI; MICCAI Workshop, Mun Andrea Fuster,Aurobrata Ghosh,Marco Reisert Conference proceedings 2016 Springer Internat

慢跑

谷類

Registration Strategies for Whole-Body Diffusion-Weighted MRI Stitching improve station-to-station registration and WB-DWI image quality. This paper reports on registration results of 52 whole-body DWI images and compares them with other already existing methods. Proposed registration techniques based on ADC images demonstrated superior performance over other registration methods.

竊喜

,Verwaltungsakte — §§ 118 ff. AO,a set of 17 dMRI-derived feature maps, to predict diagnostic group (AD or healthy control). The best metrics for classification were non-tensor metrics in the hippocampus and temporal lobes, areas consistently implicated in AD.

arrogant

BUMP

Mortal

Alzheimer’s Disease Classification with Novel Microstructural Metrics from Diffusion-Weighted MRIa set of 17 dMRI-derived feature maps, to predict diagnostic group (AD or healthy control). The best metrics for classification were non-tensor metrics in the hippocampus and temporal lobes, areas consistently implicated in AD.

DEFT

Multi-Tensor MAPMRI: How to Estimate Microstructural Information from Crossing Fibersel called Multi-Tensor MAPMRI (MT-MAPMRI) that is an extension of the MAPMRI model which improves the performance of MAPMRI for crossing fibers. In particular, it provides (a) enhanced signal fitting; (b) improved ODFs; (c) a more accurate diameter estimation. The model was tested and validated on both simulated and in-vivo data.