A scalable FPGA-based custom computing machine for a medical image processing

Concentration index filter is a kind of spatial filters of images, and its typical application is diagnosis from medical images. This paper presents a dedicated computing engine for concentration index filtering. Original algorithm is modified to extract full parallelism and data width is optimized for maximizing clock speed and minimizing hardware scale. Evaluation results reveal that the system runs 100 times faster than current workstation and enables real-time diagnosis.