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Abstract #2439

Development and Clinical Integration of an Automated Prostate MR Fingerprinting Pipeline

Anuj Sharma1, Eduardo Thadeu de Oliveira Correia2, Andrew Dupuis1, Sree H Tirumani2, William A Grissom1, Mark A Griswold3, Yong Chen3, and Leonardo Kayat Bittencourt2
1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 3Radiology, Case Western Reserve University, Cleveland, OH, United States

Synopsis

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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