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Abstract #2844

An outlier rejection scheme to improve background phase correction in PC-MRI

Aaron A Pruitt1, Ning Jin2, Orlando Simonetti3, Yingmin Liu3, and Rizwan Ahmad3

1The Ohio State University, Columbus, OH, United States, 2Siemens Healthineers, 3The Ohio State University

The accuracy of flow quantification in phase contrast MRI (PC-MRI) is limited by the presence of eddy current-induced background phase. A widely reported method to correct background phase relies on polynomial fitting of the pixels within regions of static tissue. However, separating regions with steady flow from static tissue can be challenging because such regions lack temporal variations that are often used to identify and eliminate pixels that are not static. In this work, we present and validate a processing method that identifies and eliminates outliers such as pixels belonging to venous flow and thus improves flow quantification.

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