Extraction and Enhancement of Cancer Cell from MRI Colorectal Image

"Abstract - Medical Image Processing is one of the most challenging and emerging topics in today’s research field. Processing of Magnetic Resonance Imaging (MRI) is one of the major fields in this area. MRI consists of RF-Coils which helps us to receive signals from different body parts [1]. These coils are capable of receiving the signals to the frequency they are tuned to. The frequency will be set on analyzing the test process of RF coils which was preferred earlier, and now changing it to the improved process may lead to design changes or change in the method of testing process. In recent years, multispectral MRI has emerged as an alternative to Ultrasound (US) image modality for clear identification of cancer in colon, rectal, Breast, Prostate, Liver etc.,. In order to analyze a disease, Physicians consider MR imaging modality as the most efficient one for identification of cancer present in various organs. Therefore, analysis on MR imaging is required for efficient disease diagnosis. Hence extraction of colorectal cancer cells from patient’s MRI scan image of the colon and rectal organs and enhancement of the output image to get the clear image of the cancer cells is required. This proposed method incorporates some tuning/matching, oscillation and sensitivity which are the basic steps in testing process of RF-Coils. Noise removal functions, segmentation and morphological function are considered to be the basic concepts of Image Processing. Image enhancement technology follows the hardware description language (Verilog). The use of HDL to provide signal processing results is a new technique replacing the classical simulations and offering a direct connection to hardware VLSI implementations. Detection and extraction of cancer cells from MRI colorectal image can be done by using the MATLAB software, and enhancement is done using Hardware description language, Verilog. "