Abstract:Background and Purpose
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 (CNN), a form of deep learning, to directly infer the correction vector field.
Methods
With IRB waiver of informed consent, we retrospectively identified 96 MRI exams from 48 patients who underwent ce… Show more
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