@inproceedings{24ab3fb12cce4b8a99b3e4edb27eda9c,
title = "Probabilistic edge map (PEM) for 3D ultrasound image registration and multi-atlas left ventricle segmentation",
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.",
keywords = "Left ventricle segmentation, Multiatlas label fusion, Probabilistic edge map, Structured decision forest, Ultrasound image analysis{\textquoteright}",
author = "Ozan Oktay and Alberto Gomez and Kevin Keraudren and Andreas Schuh and Wenjia Bai and Wenzhe Shi and Graeme Penney and Daniel Rueckert",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 8th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2015 ; Conference date: 25-06-2015 Through 27-06-2015",
year = "2015",
doi = "10.1007/978-3-319-20309-6_26",
language = "English",
isbn = "9783319203089",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "223--230",
editor = "{van Assen}, Hans and Peter Bovendeerd and {van Assen}, Hans and Peter Bovendeerd and Tammo Delhaas and Tammo Delhaas",
booktitle = "Functional Imaging and Modeling of the Heart - 8th International Conference, FIMH 2015, Proceedings",
}