Improved Myelin Content Estimates from Clinical Selective Inversion Recovery Scans via Anisotropic Filtering

Motivation: Traditionally, Selective Inversion Recovery (SIR) images require long scan times for sufficient SNR, while shorter clinical scans yield low SNR images with noisy pool-size-Ratio (PSR) maps, leading to potential inaccuracies. Goal(s): An advanced filtering method has been used to improve the precision and accuracy of PSR maps from lower SNR scans. Approach: An advanced filtering method has been used to improve the precision and accuracy of PSR maps from lower SNR scans. Results: Initial results demonstrate that this method produces PSR maps comparable to longer, higher SNR scans from shorter clinical scans. Impact: The implementation of nonlinear anisotropic filtering methods significantly improves the practicality of SIR imaging in a clinical setting, offering quick, accurate myelin content assessments (without blurring tissue boundaries like linear filters) for applications in MS.