Established in 2005 under support of MŠMT ČR (project 1M0572)

Publications

Medical image analysis of 3D CT images based on extensions of Haralick texture features

Typ:
Jornal article
Authors:
Tesař L., Shimizu A., Smutek D., Kobatake H., Nawano S.
Name of journal:
Computerized Medical Imaging and Graphics
Year:
2008
Number:
6 (2008)
Pages:
513-520
ISSN:
0895-6111
Keywords:
image segmentation, Gaussian mixture model, 3D image analysi
Anotation:
Texture-based segmentation of 3D CT images is adressed. The extension of Haralick 2D texture features to the 3D domain was studied. The co-occurrence matrix was calculated separately for each voxel in the image, using the co-occurrences of all voxels in a small cubic region around the voxel. The segmentation method used was model-based with a Gaussian Mixture Model. Evaluation of the proposed approach was performed using a set of 3D abdominal CT images. Statistical improvement of segmentation with 3D texture features was observed as opposed to the case without those features.
 
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