Artificial intelligence‐based reconstruction of magnetic resonance imaging (MRI) from undersampled k‐space data (namely, fast MRI) is not yet tailored for defining target and critical organs in radiotherapy (RT) planning. Previously… Click to show full abstract
Artificial intelligence‐based reconstruction of magnetic resonance imaging (MRI) from undersampled k‐space data (namely, fast MRI) is not yet tailored for defining target and critical organs in radiotherapy (RT) planning. Previously proposed methods are often limited in reconstructing anatomic abnormalities, including tumors and surgical defects, because the population‐based priors from training datasets do not necessarily provide such patient‐specific information.
               
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