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Abstract #1558

GPU Accelerated Grouped Magnetic Resonance Fingerprinting using Clustering Techniques

Abdul Moiz Hassan1, Rana Muhammad Saad1, Irfan Ullah1, and Hammad Omer1
1Medical Image Processing Research Group (MIPRG), Department of Electrical and Computer Engineering, COMSATS University, Islamabad, Pakistan

Magnetic Resonance Fingerprinting (MRF) has a limited use in clinics due to a considerable reconstruction time and large memory requirements. This paper utilizes clustering in MRF Dictionary to reduce the reconstruction time and memory requirements for MRF image reconstruction. The proposed method is further optimized for parallel processing to significantly reduce the pattern matching time with minimum memory usage by incorporating a multi-core GPU framework. As an outcome, the MRF reconstruction time is accelerated, keeping the SNR of the resulting images in a clinically acceptable range.

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