Registration of partial-view 3D US volumes with MRI data is influenced by initialization. The standard of practice is using extrinsic or intrinsic landmarks, which can be very tedious to obtain. To overcome the limitations of registration initialization, we present a novel approach that is based on Euclidean distance maps derived from easily obtainable coarse segmentations. We evaluate our approach quantitatively on the publicly available RESECT dataset and show that it is robust regarding overlap of target area and initial position. Furthermore, our method provides initializations that are suitable for state-of-the-art nonlinear, deformable image registration algorithm's capture ranges.
@article{arxiv.1806.04368,
title = {Initialize globally before acting locally: Enabling Landmark-free 3D US to MRI Registration},
author = {Julia Rackerseder and Maximilian Baust and Rüdiger Göbl and Nassir Navab and Christoph Hennersperger},
journal= {arXiv preprint arXiv:1806.04368},
year = {2018}
}
Comments
This is a pre-print of an article published in the Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018