Meeting Banner
Abstract #3402

Model-Based Iterative Reconstruction for Echo Planar Imaging: A Preliminary Evaluation for Neuro MRI

Uten Yarach1,2, Matthew Bernstein1, John Huston III1, Norbert Campeau1, Petrice Cogswell1, Daehun Kang1, Myung-Ho In1, Yunhong Shu1, Nolan Meyer1, Erin Gray1, and Joshua Trzasko1
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand

A recently proposed model-based iterative reconstruction (MBIR) method enables to prospectively manage B0-inhomogeneity and gradient-nonlinearity in EPI, and has been demonstrated to generate images with high SNR and minimal spatial blurring and geometric distortion. However, the clinical significance and degree of benefit remains undetermined. In this study, using commodity EPI acquisition protocols for whole-brain imaging, MBIR was radiologically compared against standard scanner-generated EPI images and post-processed versions. The results show that significant advantage of MBIR (p<0.05) over both the standard scanner-generated EPI results and post-processed variants was observed in three categories: SNR, geometric accuracy, and overall image quality.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here