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Medical image analysis of 3D CT images based on extension of Haralick texture features
Ludvík Tesar1, Akinobu Shimizu, Daniel Smutek
1Institute of Information Theory and Automation, Czech Academy of Sciences, Department of Adaptive Systems, Pod Vodarenskou Vezi 4, 18208 Praha 8, Czech Republic. tesar@utia.cas.cz
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.
