Deep learning-based multi-modal computing with feature disentanglement for MRI image synthesis.
Journal:
Medical physics
Published Date:
Jun 7, 2021
Abstract
PURPOSE: Different Magnetic resonance imaging (MRI) modalities of the same anatomical structure are required to present different pathological information from the physical level for diagnostic needs. However, it is often difficult to obtain full-sequence MRI images of patients owing to limitations such as time consumption and high cost. The purpose of this work is to develop an algorithm for target MRI sequences prediction with high accuracy, and provide more information for clinical diagnosis.
