Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network

• Published in: Medical image analysis Vol. 80; p. 102524
• Main Authors: Guo, Xueqi, Zhou, Bo, Pigg, David, Spottiswoode, Bruce, Casey, Michael E., Liu, Chi, Dvornek, Nicha C.
• Format: Journal Article
• Language: English
• Published: Netherlands 01.08.2022
• Subjects: Humans; Image Processing, Computer-Assisted - methods; Neural Networks, Computer; Positron-Emission Tomography - methods; Whole Body Imaging - methods; Motion correction; Convolutional network; Long-short term memory; Parametric imaging; Whole-body dynamic PET

Subject motion in whole-body dynamic PET introduces inter-frame mismatch and seriously impacts parametric imaging. Traditional non-rigid registration methods are generally computationally intense and time-consuming. Deep learning approaches are promising in achieving high accuracy with fast speed, b...