Transforming UTE-mDixon MR Abdomen-Pelvis Images Into CT by Jointly Leveraging Prior Knowledge and Partial Supervision - Qian, Pengjiang; Zheng, Jiamin; Zheng, Qiankun; Liu, Yuan; Wang, Tingyu; Al Helo, Rose; Baydoun, Atallah; Avril, Norbert; Ellis, Rodney J.; Friel, Harry; Traughber, Melanie S.; Devaraj, Ajit; et al. (IEEE/ACM transactions on computational biology and bioinformatics, 2021)
Keywords: Abdomen; Abdomen - diagnostic imaging; Algorithms; Attenuation; Biological tissues; Bone marrow; Bones; Clustering; Computed tomography; Fats; Feature extraction; Feature recognition; Field of view; Humans; Image Processing, Computer-Assisted - methods; intelligent transformation; Ionizing radiation; Knowledge management; Learning algorithms; Machine Learning; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; medical images; Medical imaging; Pelvis; Pelvis - diagnostic imaging; Photon absorption; Positron emission; Soft tissues; Supervision; Support vector machines; synthetic CT; Tissues; Tomography; Tomography, X-Ray Computed - methods; Transformations