IVUS-histology image registration

Authors:
Amin Katouzian;Athanasios Karamalis;Jennifer Lisauskas;Abouzar Eslami;Nassir Navab
Affiliations:
Computer Aided Medical Procedures (CAMP), Technical University of Munich, Germany, Biomedical Engineering Department, Columbia University, New York;Computer Aided Medical Procedures (CAMP), Technical University of Munich, Germany;Infraredx® Inc, Burlington, MA;Computer Aided Medical Procedures (CAMP), Technical University of Munich, Germany, Institut für Biomathematik und Biometrie, Helmholtz Zentrum München, Germany;Computer Aided Medical Procedures (CAMP), Technical University of Munich, Germany
Venue:
WBIR'12 Proceedings of the 5th international conference on Biomedical Image Registration
Year:
2012

Citing 8
Cited 0

Principal Warps: Thin-Plate Splines and the Decomposition of Deformations

IEEE Transactions on Pattern Analysis and Machine Intelligence
Registration of 3D Intraoperative MR Images of the Brain Using a Finite Element Biomechanical Model

MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Random Walks for Image Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Intravascular Ultrasound Tissue Characterization with Sub-class Error-Correcting Output Codes

Journal of Signal Processing Systems
Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs

ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
A new method for characterization of coronary plaque composition via IVUS images

ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Challenges in Atherosclerotic Plaque Characterization With Intravascular Ultrasound (IVUS): From Data Collection to Classification

IEEE Transactions on Information Technology in Biomedicine
Shape-Driven Segmentation of the Arterial Wall in Intravascular Ultrasound Images

IEEE Transactions on Information Technology in Biomedicine

Quantified Score

Hi-index	0.00

Visualization

Abstract

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 systematic labeling of tissues, which ultimately will lead to reliable construction of training dataset for feature extraction and supervised classification of atherosclerotic tissues.