Abstract #3402

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

Uten Yarach^1,2, 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.

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