EFFECTIVE IMAGE PROCESSING TECHNIQUES FOR THE PROSTATE DIAGNOSTICS

Abstract

Image processing is a powerful Technique for increasing the reliability and reproducibility of disease diagnostics. In the hands of pathologists, image processing delivers measurable information from images which supplement the qualitative data recently used by specialists. In this research study the abnormality of the prostate using image matching techniques to compare the volume of the a reference normal case and patient abnormal prostate enlargement volume case, in order to compute the two volumes overlap ratio that gives an approximate amount of prostate volume enlargement and as a diagnostics tool, so doctor can measure patient prostate irregularity using this approach after overlapping and matching volume enclosed by patient abnormal case with volume of the normal case as reference value taken into consideration both age factor and the body mass index BMI. Furthermore, this paper also implement a statistical analysis by computing average, standard deviation and variance differences respectively between patient image and reference image average, three difference outcome exact amount of prostate enlargement, which will be represented as a percentage that indicate the amount of the prostate enlargement