Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging

@article{Chan2022AutomatedQC,
  title={Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging},
  author={Emily Chan and Ciara O’Hanlon and Carlota Asegurado Marquez and Marwenie F. Petalcorin and Jorge Mariscal Harana and Haotian Gu and Raymond J. Kim and Robert M. Judd and Philip J. Chowienczyk and Julia Anne Schnabel and Reza Razavi and Andrew P. King and Bram Ruijsink and Esther Puyol-Ant{\'o}n},
  journal={ArXiv},
  year={2022},
  volume={abs/2209.14212}
}
. 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… 
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