High-speed MRI Simulator with Compressed Sensing

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  • 圧縮センシングによるMRI画像シミュレータの高速化

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Abstract

A numerical simulator for MRI experiments is useful in improving the efficiency of the pulse sequence and hardware development. However, a diffusion-weighted imaging (DWI) simulator for a human-brain-sized model has not yet been developed because such a simulator would require a large amount of computing costs. We recently developed a DWI simulator by applying new acceleration techniques, and managed to reduce the computation time to a few hours. However, this computation time increases with an increasing requirement for the enhancement of the simulator's functionality. To meet this requirement, we herein propose the use of compressed sensing (CS) as an additional acceleration technique. First, we fixed an appropriate data sampling ratio from the viewpoint of image quality, and applied it to the generation of an MR signal so as to reduce the simulation time to 30%. We then applied CS to simulate DWI with a fluctuating motion probing gradient (MPG). As a result, we found that the DWI simulator using CS with a 30% data sampling ratio was effective in estimating the relationship between the amount of MPG fluctuation and the image degradation.

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