Meeting Banner
Abstract #1777

Evaluation of the Quality of Eddy-Currents and EPI Distortion Correction for Diffusion MRI: A Dataset for Benchmarking

Mustafa Okan Irfanoglu1,2,3, Amritha Nayak1,2,3, Joelle Sarlls4, and Carlo Pierpaoli1,2

1Quantitative Medical Imaging Section, NIBIB/NIH, Bethesda, MD, United States, 2SQUITS/NICHD/NIH, Bethesda, MD, United States, 3Henry Jackson Foundation, Bethesda, MD, United States, 4NIH MRI Research Facility, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States

In recent years, numerous methodologies have been proposed for the correction of motion, eddy-currents and echo planar imaging (EPI) distortions for diffusion MRI data. The typical strategy to assess the quality of these corrections is to compare them to an undistorted image, such as a T1-weighted or T2-weighted structural image, with different quality measures such as outlines, similarity metrics or segmentation overlaps. Even though several of these measures are quantitative, the use of wide range of validation strategies in combination with data with significantly different distortion properties complicates a direct comparison of these techniques. In this work, we propose a quantitative, unbiased and robust strategy to evaluate the performances of these correction techniques and provide a publicly available benchmarking dataset.

This abstract and the presentation materials are available to members only; a login is required.

Join Here