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2008 International Conference on BioMedical Engineering and Informatics
Texture Feature based Automated Seeded Region Growing in Abdominal MRI Segmentation
May 27-May 30
ISBN: 978-0-7695-3118-2
ASCII Text
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Jie Wu, Skip Poehlman, Michael D. Noseworthy, Markad V. Kamath, "Texture Feature based Automated Seeded Region Growing in Abdominal MRI Segmentation," BioMedical Engineering and Informatics, International Conference on, vol. 2, pp. 263-267, 2008 International Conference on BioMedical Engineering and Informatics, 2008.
 
 
BibTex
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@article{ 10.1109/BMEI.2008.352,
author = {Jie Wu and Skip Poehlman and Michael D. Noseworthy and Markad V. Kamath},
title = {Texture Feature based Automated Seeded Region Growing in Abdominal MRI Segmentation},
journal ={BioMedical Engineering and Informatics, International Conference on},
volume = {2},
year = {2008},
isbn = {978-0-7695-3118-2},
pages = {263-267},
doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.352},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - BioMedical Engineering and Informatics, International Conference on
TI - Texture Feature based Automated Seeded Region Growing in Abdominal MRI Segmentation
SN - 978-0-7695-3118-2
SP263
EP267
A1 - Jie Wu,
A1 - Skip Poehlman,
A1 - Michael D. Noseworthy,
A1 - Markad V. Kamath,
PY - 2008
KW - Texture Feature
KW - Seeded Region Growing
VL - 2
JA - BioMedical Engineering and Informatics, International Conference on
ER -
 
A new texture feature based seeded region growing algorithm is proposed for the automated segmentation of organs in Abdominal MR image. Co-occurrence texture feature and semi-variogram texture feature are extracted from the image and the seeded region growing algorithm is run on these feature spaces. With a given Region of Interest(ROI), a seed point is automatically picked up based on three homogeneity criteria. A threshold is then obtained by taking a lower value just before the one causing ‘explosion’. This algorithm is tested on 12 series of 3D abdominal MR images.
Index Terms:
Texture Feature, Seeded Region Growing
Citation:
Jie Wu, Skip Poehlman, Michael D. Noseworthy, Markad V. Kamath, "Texture Feature based Automated Seeded Region Growing in Abdominal MRI Segmentation," bmei, vol. 2, pp.263-267, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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