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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