Probabilistic edge map (PEM) for 3D ultrasound image registration and multi-atlas left ventricle segmentation
Oktay O, Gomez A, Keraudren K, Schuh A, Bai W, Shi W, Penney G, Rueckert D (2015)
Publication Type: Conference contribution
Publication year: 2015
Journal
Publisher: Springer Verlag
Book Volume: 9126
Pages Range: 223-230
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Maastricht, NLD
ISBN: 9783319203089
DOI: 10.1007/978-3-319-20309-6_26
Abstract
Automated left ventricle (LV) segmentation in 3D ultrasound (3D-US) remains a challenging research problem due to variable image quality and limited field-of-view. Modern segmentation approaches (shape, appearance and contour model based surface fitting) require an accurate initialization and good image boundary features to obtain reliable and consistent results. They are therefore not well suited for this problem. The proposed method overcomes those limitations with a novel and generic 3D-US image boundary representation technique: Probabilistic Edge Map (PEM). This new representation captures regularized and complete edge responses from standard 3D-US images. PEM is utilized in a multi-atlas LV segmentation framework to spatially align target and atlas images. Experiments on data from the MICCAI CETUS challenge show that the proposed approach is better suited for LV segmentation than the active contour, appearance and voxel classification approaches, achieving lower surface distance errors and better LV volume estimates.
Involved external institutions
King’s College London
United Kingdom (GB)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
United Kingdom (GB)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
How to cite
APA:
Oktay, O., Gomez, A., Keraudren, K., Schuh, A., Bai, W., Shi, W.,... Rueckert, D. (2015). Probabilistic edge map (PEM) for 3D ultrasound image registration and multi-atlas left ventricle segmentation. In Hans van Assen, Peter Bovendeerd, Hans van Assen, Peter Bovendeerd, Tammo Delhaas, Tammo Delhaas (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 223-230). Maastricht, NLD: Springer Verlag.
MLA:
Oktay, Ozan, et al. "Probabilistic edge map (PEM) for 3D ultrasound image registration and multi-atlas left ventricle segmentation." Proceedings of the 8th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2015, Maastricht, NLD Ed. Hans van Assen, Peter Bovendeerd, Hans van Assen, Peter Bovendeerd, Tammo Delhaas, Tammo Delhaas, Springer Verlag, 2015. 223-230.
BibTeX: Download