Javier Montalt-Tordera1, Michael Quail1, Jennifer Anne Steeden1, and Vivek Muthurangu1
1Centre for Cardiovascular Imaging, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
1Centre for Cardiovascular Imaging, UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
Deep learning enables an 80% reduction in contrast agent dose in cardiovascular contrast-enhanced MR angiography while maintaining image quality and clinical validity.
Figure 5. Representative images from the prospective study. Multiplanar reformats of the ascending aorta (AAO), descending aorta (DAO), main pulmonary artery (MPA), left pulmonary artery (LPA) and right pulmonary artery (RPA).
Figure 1. (A) Estimation of the intensity ratio between low-dose data (LD-MRA) and high-dose data (HD-MRA). T: thresholding followed by morphological opening. M: compute mean over ROI for both images. (B) Generation of synthetic low-dose (SLD-MRA) images, using the estimated intensity ratio, to be paired with the corresponding high-dose (HD-MRA) images for training.