MAGNETIC RESONANCE FINGERPRINTING BASED ON BLOCH MANIFOLD AND SPATIAL REGULARIZATIONS IN PARALLEL

摘要

Systems and methods are provided for iterative reconstruction of a magnetic resonance image using magnetic resonance fingerprinting. An image series is estimated according to the following four steps: a gradient step to improve data consistency, fingerprint matching, spatial regularization, and a merging step. The fingerprint matching and spatial regularization steps are performed in parallel.