FDRN: A fast deformable registration network for medical images.

Journal: Medical physics
Published Date:

Abstract

PURPOSE: Deformable image registration is a fundamental task in medical imaging. Due to the large computational complexity of deformable registration of volumetric images, conventional iterative methods usually face the tradeoff between the registration accuracy and the computation time in practice. In order to boost the performance of deformable registration in both accuracy and runtime, we propose a fast unsupervised convolutional neural network for deformable image registration.

Authors

  • Kaicong Sun
    Institute of Parallel and Distributed Systems, University of Stuttgart, Stuttgart, Germany.
  • Sven Simon
    Institute of Parallel and Distributed Systems, University of Stuttgart, Stuttgart, Germany.