MRI Hip Joint Segmentation: A Locally Bhattacharyya Weighted Hybrid 3D Level Set Approach

Pham, Duc Duy; Morariu, Cosmin Adrian; Terheiden, Tobias; Landgraeber, Stefan; Jäger, Marcus; Pauli, Josef

MRI Hip Joint Segmentation: A Locally Bhattacharyya Weighted Hybrid 3D Level Set Approach

Files

113-117.pdf (1.72 MB)

Date

2017

Authors

Pham, Duc Duy
Morariu, Cosmin Adrian
Terheiden, Tobias
Landgraeber, Stefan
Jäger, Marcus
Pauli, Josef

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.

CCS Concepts

        @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
}
}