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Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
IVUS-histology image registration.
Lect. Notes Comput. Sc. 7359, 141-149 (2012)
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.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Atherosclerosis; Histology; Intravascular Ultrasound (IVUS); Registration
ISSN (print) / ISBN
0302-9743
e-ISSN
1611-3349
Zeitschrift
Lecture Notes in Computer Science
Quellenangaben
Band: 7359,
Seiten: 141-149
Verlag
Springer
Verlagsort
Berlin [u.a.]
Nichtpatentliteratur
Publikationen
Institut(e)
Institute of Computational Biology (ICB)