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 für Neuroradiologische Diagnostik und Intervention, Universitätsklinikum 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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.