Segmentation of the Aorta and Pulmonary Arteries Based on 4D Flow MRI in the Pediatric Setting Using Fully Automated Multi‐Site, Multi‐Vendor, and Multi‐Label Dense U‐Net - Fujiwara, Takashi; Berhane, Haben; Scott, Michael B.; Englund, Erin K.; Schäfer, Michal; Fonseca, Brian; Berthusen, Alexander; Robinson, Joshua D.; Rigsby, Cynthia K.; Browne, Lorna P.; Markl, Michael; Barker, Alex J. (Journal of magnetic resonance imaging, 2022)
Keywords: Aorta; Aorta - diagnostic imaging; Arteries; Artificial neural networks; Automation; Blood flow; Cardiovascular diseases; Child; congenital heart diseases; Coronary artery disease; Coronary vessels; deep learning; Female; Field strength; four‐dimensional flow; Heart diseases; Humans; Image processing; Image segmentation; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Neural networks; Neural Networks, Computer; Pediatrics; Population studies; Pulmonary arteries; Pulmonary artery; Pulmonary Artery - diagnostic imaging; Retrospective Studies; Similarity; Statistical analysis; Statistical tests; Subgroups; Training; deep learning; four-dimensional flow; pediatrics; congenital heart diseases