Localisation of Zones of Cancer Detection in Prostate Gland Using Ratio Matrix and Radial Scanning of 2D Trans-rectal Ultrasound Images;

Document Type: Research/Original Article


1 Electronic Engineering Dept., University of Nigeria, Nsukka, Enugu State, Nigeria

2 Mechatronic Engineering Dept., Federal University of Technology Owerri, Imo State, Nigeria


Researchers have continued to proffer various solutions to the challenge of delineating from Trans-rectal
ultrasound (TRUS) 2D-images of the prostate the regions of desired property. This paper presents an algorithm
that categorises the detected regions suspected to be cancerous, hyper-echoic pixels, in the prostate gland from
a 2D Trans-rectal Ultrasound images into three zones. The developed algorithm uses radial scanning of the pixels
of the prostate gland image from common seed point both to detect and delineate the suspected cancerous
pixels into zones, namely peripheral, transition and central, by applying ratios of the anatomical zones of the
prostate gland. Expert knowledge, intensity and gradient features were implemented to delineate regions of
interest. MATLAB programming tool was used for creating the codes that implemented the algorithms. Samples
of TRUS 2D-images of the prostate for patients with raised PSA values (>10 ng/ml) used in a previous work by
Award (2007) were used for testing the algorithm. The test results showed that the algorithm could detect zones
of the prostate boundary exhibit image properties for cancer cells and also the percentage of malignancy
detected in zones agreed with existing research findings. Comparison of detection results with that of an expert
radiologist yielded the following performance parameters; accuracy of 88.55% and sensitivity of 71.65%.


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