Compressed Sensing MRI with Multichannel Data Using GPUs
نویسندگان
چکیده
Abstract—Many clinical MRI applications can benefit from combining compressed sensing with multichannel receiver systems because of the potential to achieve reduced scan time and improve image qualities. However, it comes with the increased computational complexity, particular for advanced CS algorithms and with large number of channels. This paper presents a new CS-MRI reconstruction method for multichannel data based on graphics processing units (GPUs). Preliminary results show up to an order of magnitude of speed improvement with the proposed method.
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