Journal
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
Volume 32, Issue 6, Pages 513-520Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compmedimag.2008.05.005
Keywords
Haralick texture features; 3D image analysis; image segmentation; Gaussian mixture model; model-based decision-making; EM algorithm
Funding
- Ministry of Education, Culture, Sports, Science and Technology of Japan [IET101050403]
- MSMT Czech Republic [IM0572]
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Purpose: A new approach to the segmentation of 3D CT images is proposed in an attempt to provide texture-based segmentation of organs or disease diagnosis. 3D extension of Haralick texture features was studied calculating co-occurrences of all voxels in a small cubic region around the voxel. Results: For verification, the proposed method was tested on a set of abdominal 3D volumes of patients. Statistically, the improvement in segmentation was significant for most of the organs considered herein. Conclusions: The proposed method has potential application in medical image segmentation, including diagnosis of diseases. (C) 2008 Elsevier Ltd. All rights reserved.
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