Deep learning phase error correction for cerebrovascular 4D flow MRI

Abstract Background phase errors in 4D Flow MRI may negatively impact blood flow quantification. In this study, we assessed their impact on cerebrovascular flow volume measurements, evaluated the benefit of manual image-based correction, and assessed the potential of a convolutional neural network (...

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Bibliographic Details
Main Authors: Shanmukha Srinivas, Evan Masutani, Alexander Norbash, Albert Hsiao
Format: Article
Language:English
Published: Nature Portfolio 2023-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-36061-z