A computer algorithm for cancer recognition on ultrasound images of prostate tissue

An improvement of our previous computer algorithm of cancer recognition of ultrasound images is developed. In order for cancer to survive it develops its own blood supply system, which is different than the supply system of normal tissue. The velocity of the blood flowing through the cancerous blood vessels is different than the velocity of the blood flowing through blood vessels of normal tissue. Due to this fact, the ultrasound signal is absorbed differently in the cancerous areas than in the normal tissue areas. The energy of the signal, the continuity of the signal, autocorrelation function, and frequency domain properties are different in the normal tissue than in cancerous tissue. All these indicators are used for classifying the image of the tissue as being cancerous or non cancerous.

[1]  Douglas L. Jones,et al.  Edge detection in ultrasound speckle noise , 1994, Proceedings of 1st International Conference on Image Processing.

[2]  Patricia H. Carter Texture discrimination using wavelets , 1991, Optics & Photonics.

[3]  Evangelos A. Yfantis,et al.  A computer algorithm for cancer recognition on hypoechoic ultrasound images of prostate tissue , 1999, Computers and Their Applications.

[4]  Anil K. Jain,et al.  Unsupervised texture segmentation using Gabor filters , 1990, 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings.