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

✍ Scribed by Ludvík Tesař; Akinobu Shimizu; Daniel Smutek; Hidefumi Kobatake; Shigeru Nawano

• Publisher: Elsevier Science
• Year: 2008
• Tongue: English
• Weight: 729 KB
• Volume: 32
• Category: Article
• ISSN: 0895-6111
• DOI: 10.1016/j.compmedimag.2008.05.005

✦ Synopsis

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.