MRI Hip Joint Segmentation: A Locally Bhattacharyya Weighted Hybrid 3D Level Set Approach
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
In this paper, we propose a novel hybrid level set approach that locally balances the combined use of both Gradient Vector Flow and region based energy cost function by means of the Bhattacharyya coefficient. The local neighborhood of each contour point is naturally divided into an area encapsulated and one excluded by the contour. We propose utilizing the Bhattacharyya coefficient of the intensity distributions of these local areas to determine a point-wise weighting scheme for the curve propagation. The performance of our method regarding segmentation quality is evaluated on the segmentation of the hip joint in 10 MRI data sets. Our proposed method shows a clear improvement compared to conventional 3D level set approaches.
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@inproceedings{10.2312:vcbm.20171243,
booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine},
editor = {Stefan Bruckner and Anja Hennemuth and Bernhard Kainz and Ingrid Hotz and Dorit Merhof and Christian Rieder},
title = {{MRI Hip Joint Segmentation: A Locally Bhattacharyya Weighted Hybrid 3D Level Set Approach}},
author = {Pham, Duc Duy and Morariu, Cosmin Adrian and Terheiden, Tobias and Landgraeber, Stefan and Jäger, Marcus and Pauli, Josef},
year = {2017},
publisher = {The Eurographics Association},
ISSN = {2070-5786},
ISBN = {978-3-03868-036-9},
DOI = {10.2312/vcbm.20171243}
}