Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

A. Katouzian, A. Karamalis, , A. Eslami, N. Navab
IVUS-Histology Image Registration
5th Workshop on Biomedical Image Registration, Nashville, USA, July, 2012 (bib)

In this paper, for the first time, we present a systematic framework to register intravascular ultrasound (IVUS) images with histology correspondences. We deployed intermediate representations of images, generating segmentation masks corresponding to lumen and media-adventitia borders for both histology and IVUS images, incorporated into a non-rigid registration framework using discrete multi-labeling and approximate curvature penalty for smoothness regularization. The resulting deformation field was then applied to the original histology image to transfer it to IVUS coordinate system. Finally, the results were quantified on 14 cross sections of interest. The main contribution of this work is that the registered results could be used for reliable labeling of tissues and construction of training dataset for feature extraction and supervised classification of atherosclerotic tissues.
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