Improving registration using multi-channel diffeomorphic demons combined with certainty maps

Authors:
Daniel Forsberg;Yogesh Rathi;Sylvain Bouix;Demian Wassermann;Hans Knutsson;Carl-Fredrik Westin
Affiliations:
Sectra Imtec, Linköping, Sweden and Department of Biomedical Engineering, Linköping University, Sweden and Center for Medical Image Science and Visualization;Psychiatry Neuroimaging Laboratory, Brigham and Womens Hospital, Harvard Medical School, Boston, MA;Psychiatry Neuroimaging Laboratory, Brigham and Womens Hospital, Harvard Medical School, Boston, MA;Psychiatry Neuroimaging Laboratory, Brigham and Womens Hospital, Harvard Medical School, Boston, MA;Department of Biomedical Engineering and Center for Medical Image Science and Visualization, Linköping University, Sweden;Laboratory of Mathematics in Imaging, Brigham and Womens Hospital, Harvard Medical School, Boston, MA
Venue:
MBIA'11 Proceedings of the First international conference on Multimodal brain image analysis
Year:
2011

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Abstract

The number of available imaging modalities increases both in clinical practice and in clinical studies. Even though data from multiple modalities might be available, image registration is typically only performed using data from a single modality. In this paper, we propose using certainty maps together with multi-channel diffeomorphic demons in order to improve both accuracy and robustness when performing image registration. The proposed method is evaluated using DTI data, multiple region overlap measures and a fiber bundle similarity metric.