Prostate cancer diagnosis based on Gabor filter texture segmentation of ultrasound image

It is generally agreed that the conventional trans-rectal ultrasound (TRUS) examination is an important, cost-effective and useful technique for imaging the prostate. TRUS is used in the interpretation of the PSA assay, for monitoring response to nonsurgical and surgical therapy, and for providing image guidance during some minimally invasive procedures. In this paper, multichannel filtering is proposed as an excellent method for prostate texture investigation. By processing the TRUS images using multiple resolution techniques, the image is decomposed into appropriate texture features that can be used to classify the textures accordingly. Using human visual system (HVS), medical doctors use three features for texture analysis, mainly repetition, directionality and complexity. A bank of Gabor filters that is well distributed to cover the entire frequency plane is designed to mimic the HVS and therefore it is an excellent tool that can be used for prostate texture segmentation.