Lesion Mask-Based Simultaneous Synthesis of Anatomic and Molecular MR Images Using a GAN.

ABSTRACT: Data-driven automatic approaches have demonstrated their great potential in resolving various clinical diagnostic dilemmas for patients with malignant gliomas in neuro-oncology with the help of conventional and advanced molecular MR images. However, the lack of sufficient annotated MRI data has vastly impeded the development of such automatic methods. Conventional data augmentation approaches, including flipping, scaling, rotation, and distortion are not capable of generating data with diverse image content. In this paper, we propose a method, called synthesis of anatomic and molecular MR images network (SAMR), which can simultaneously synthesize data from arbitrary manipulated lesion information on multiple anatomic and molecular MRI sequences, including T1-weighted (T ₁

SUBMITTER: Guo P 

PROVIDER: S-EPMC7556330 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature