Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging. (arXiv:2209.14212v1 [eess.IV])

Flow analysis carried out using phase contrast cardiac magnetic resonance
imaging (PC-CMR) enables the quantification of important parameters that are
used in the assessment of cardiovascular function. An essential part of this
analysis is the identification of the correct CMR views and quality control
(QC) to detect artefacts that could affect the flow quantification. We propose
a novel deep learning based framework for the fully-automated analysis of flow
from full CMR scans that first carries out these view selection and …

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