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Abstract #2424

A Novel Expectation Maximization based Multi Voxel Spatial Regularization Algorithm with Stimulated Echo Contribution (MVSR-STE) for Multi Component Analysis of the Quantitative T2 Relaxometry

Dushyant Kumar1, Hari Hariharan1, Jens Fiehler2, Susanne Siemonsen2, Jan Sedlacik2, and Ravinder Reddy1

1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Klinik und Poliklinik f├╝r Neuroradiologische Diagnostik und Intervention, Universit├Ątsklinikum Hamburg-Eppendorf, Hamburg, Germany

Problem: The quantification accuracy of myelin water fraction mapping based on multi echo spin echo (MESE) T2 relaxometry is compromised due to high SNR requirement, along with the need to account for contributions from stimulated echo pathways.

Methods: A novel expectation-maximization post-processing method, with convergence guaranty, is proposed, which accounts for stimulated contributions intrinsically, while simultaneously improving noise robustness by utilizing spatial correlation from 3D local neighborhood.

Results & Conclusions: Results demonstrate improved quantifications as a result of the proposed algorithm.

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