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An automated data processing pipeline, designed for handling a large throughput of sequentially acquired MRI brain data, is described. The system takes as input multiple diffusion weighted (DWI) and perfusion weighted imaging (PWI) volumes acquired at different temporal points, automatically segments and registers them, and ultimately outputs a database used to track various perfusion and diffusion...
Arterial spin labeling (ASL) has been developed into a useful tool for measuring local tissue perfusion with magnetic resonance imaging (MRI). Velocity-selective ASL (VS-ASL) tags spins on a basis of flow velocity, instead of the spatial distribution that is commonly used by conventional ASL techniques. Using a 90deg-180deg-90deg radiofrequency pulse train in combination with flow-sensitive gradients,...
Perfusion normally refers to the delivery of blood at the level of capillaries. Hemodynamic perfusion magnetic resonance (MR) imaging has been used in clinics for a series of applications including tumor characterization (histological type diagnosis and grading), diagnosis and the follow up of stroke, and several other disorders. For this study a platform to investigate the theoretical basis of perfusion...
In order to help clinicians with the diagnosis of neurodegenerative diseases, we provide a synthetic functional information located in relation with anatomical structures. The final image is processed by multimodal data fusion between SPECT and MR images. We propose a new method for the management of such multiresolution data, in which a geometrical model allows an accurate correspondence of voxels...
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