Medical image analysis of 3D CT images based on extension of Haralick texture features.
OBJECTIVE
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.
Tesar
Ludvík
L
Institute 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
Shimizu
Akinobu
A
Smutek
Daniel
D
Kobatake
Hidefumi
H
Nawano
Shigeru
S
D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D011860:Radiography, Abdominal / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*