A least square generative network based on invariant contrastive feature pair learning for multimodal MR image synthesis.

Journal: International journal of computer assisted radiology and surgery
Published Date:

Abstract

PURPOSE: During MR-guided neurosurgical procedures, several factors may limit the acquisition of additional MR sequences, which are needed by neurosurgeons to adjust surgical plans or ensure complete tumor resection. Automatically synthesized MR contrasts generated from other available heterogeneous MR sequences could alleviate timing constraints.

Authors

  • Redha Touati
    Polytechnique Montréal, Montreal, QC, H3T 1J4, Canada. redhatowati@gmail.com.
  • Samuel Kadoury
    École Polytechnique de Montréal, Montreal, Canada. samuel.kadoury@polymtl.ca.