QQ‐NET – using deep learning to solve quantitative susceptibility mapping and quantitative blood oxygen level dependent magnitude (QSM+qBOLD or QQ) based oxygen extraction fraction (OEF) mapping - Cho, Junghun; Zhang, Jinwei; Spincemaille, Pascal; Zhang, Hang; Hubertus, Simon; Wen, Yan; Jafari, Ramin; Zhang, Shun; Nguyen, Thanh D.; Dimov, Alexey V.; Gupta, Ajay; Wang, Yi (Magnetic resonance in medicine, 2022)
Keywords: Artificial neural networks; Blood; Brain - diagnostic imaging; Brain Mapping; cerebral metabolic rate of oxygen; Cerebrovascular Circulation; Clustering; Deep Learning; Gray Matter; Humans; Image acquisition; Image reconstruction; Ischemia; Machine learning; Magnetic Resonance Imaging; Mapping; Neural networks; Oxygen; Oxygen Consumption; oxygen extraction fraction; Oxygen Saturation; qBOLD; QQ‐NET; QSM; QSM+qBOLD; quantitative blood oxygenation level‐dependent imaging; quantitative susceptibility mapping; Spin labeling; Stroke; Unet; QQ; Unet; deep learning; qBOLD; quantitative susceptibility mapping; QQ-NET; QSM+qBOLD; DL; quantitative blood oxygenation level-dependent imaging; QSM; cerebral metabolic rate of oxygen; oxygen extraction fraction