An algorithm to echogenicity level identification on medical B-images and its applicability on FPGA platform

This paper is focused on digital image analysis of B-MODE ultrasound images. Our study is specialized in transcranial B-images in neurology. We have developed an algorithm in MATLAB which is used to finding echogenicity level in substantia nigra to detection of Parkinson's Disease. The algorithm was also contemporaneously tested and verified for nucleus raphe echogenicity analysis. In addition, we want to use the algorithm on Xilinx Kintex-7 FPGA DSP Development Kit to create an independent solution. Up to the present we have an experimental solution focused on interconnection of the kit with MATLAB and use the computing core with this kit. Xilinx Kintex-7 FPGA DSP Development Kit represents a complex hardware solution to effective FPGA implementation.

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