Title :
Region of interest identification in prostate TRUS images based on Gabor filter
Author :
Mohamed, S.S. ; El-Saadany, E.F. ; Abdel-Galil, T.K. ; Shen, J. ; Salama, M.M.A. ; Fenster, A. ; Downey, D.B. ; Rizkalla, K.
Author_Institution :
Waterloo Univ., Ont.
Abstract :
This paper presents a new algorithm for prostate texture classification based on transrectal ultrasound (TRUS) images. A Gabor filter is designed to automatically identify the regions of interest (ROI) in the image. Furthermore, texture analysis for these regions is carried out by employing grey level co-occurrence matrix GLCM. Contrast feature is found to be useful for the differentiation between cancerous and non-cancerous tissues. The obtained results demonstrate that the contrast level in normal tissue is higher than that of cancerous tissue
Keywords :
Gabor filters; biological tissues; biomedical ultrasonics; cancer; image classification; image texture; medical image processing; ultrasonic imaging; Gabor filter; cancerous tissue; grey level co-occurrence matrix; noncancerous tissue; prostate TRUS images; prostate texture classification; prostrate cancer; texture analysis; transrectal ultrasound images; Feature extraction; Frequency; Gabor filters; Glands; Image analysis; Image resolution; Image segmentation; Image texture analysis; Prostate cancer; Ultrasonic imaging; Gabor filter and Grey level co-occurrence matrix; Prostrate cancer;
Conference_Titel :
Circuits and Systems, 2003 IEEE 46th Midwest Symposium on
Conference_Location :
Cairo
Print_ISBN :
0-7803-8294-3
DOI :
10.1109/MWSCAS.2003.1562307
