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Abstract #0114

3D T1, T2, and M0 Mapping of the Bladder Wall in Healthy Subjects Using Deep Image Prior MR Fingerprinting

Jesse Ian Hamilton1,2, Giulia Ippolito3, and Shane Wells1,3
1Radiology, University of Michigan, Ann Arbor, MI, United States, 2Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 3Urology, University of Michigan, Ann Arbor, MI, United States

Synopsis

Keywords: Urogenital, MR Fingerprinting, Bladder; T1 mapping; T2 mapping; Deep Learning

Motivation: T1 and T2 mapping of the bladder wall remains challenging due to the need for high spatial resolution to delineate the thin bladder wall.

Goal(s): To develop a 3D MRF approach for joint T1, T2, and M0 mapping of the bladder and characterize values in healthy subjects.

Approach: Nine healthy subjects were scanned at 1.5T using a 3D stack-of-spirals FLASH MRF sequence (1x1x3 mm3), with maps reconstructed using a Deep Image Prior technique.

Results: Mean values using 3D MRF in the bladder wall were T1 868 +/- 130ms and T2 59 +/- 10 ms. Additionally, synthetic weighted images were generated from MRF maps.

Impact: High-resolution 3D bladder MRF may offer potential future diagnostic utility in various conditions, such as overactive bladder, where inflammatory and fibrotic changes in the detrusor muscle are believed to drive symptoms.

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Keywords