Keywords: Prostate, MR Fingerprinting, Prostate
Motivation: MR Fingerprinting (MRF) has demonstrated improved characterization of prostatic lesions and shows promise in reducing unnecessary biopsies for MRI-negative patients.
Goal(s): To implement a clinical prostate MRF pipeline with real-time reconstruction and tissue parameter mapping capabilities.
Approach: We developed and deployed a fully automated prostate MRF pipeline across three clinical 3 T scanners. The implementation integrates acquisition sequence programming, image reconstruction, and parameter mapping using the mrftools framework.
Results: Initial testing in ten patients demonstrates the stability of the pipeline with the measured tissue parameters within the expected range.
Impact: MR Fingerprinting (MRF) has demonstrated improved characterization of prostatic lesions. The successful clinical implementation of prostate MRF enables routine quantitative prostate tissue properties mapping.
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