Ultrasound Computer Assisted Screening for Early Diagnosis of Prostate Cancer

The main goal of the tool proposed in this paper is diagnostic quality enhancement by improving the images of the ultrasound scan using parallel computer processing. Many advanced algorithms for speckle noise filtering, image segmenta- tion and texture analysis are implemented and coded to run in parallel. The physician receives several output images with outlined regions where different anomalies were detected. The coincidence of the regions indicates higher probability of prostate cancer. This will contribute for earlier diagnose of "smaller", clinically insignificant, or even "obscured" prostate lesions and provides visual reassurance for treatment decision-making process.