A Bio-inspired Interpolation Kernel for Medical Image Processing Implemented on DSP Processor

Abstract

Post processing of medical images often needs interpolation. Taking cues from human visual system, we propose here an interpolation kernel consisting of linear combination of Gaussians at different scales. We compare the efficacy of the proposed kernel with other interpolation kernels, particularly in the processing of medical images. The basic algorithm has been implemented on a TI DM642 based hardware platform for realtime filtering and programmed for post-processing of ultrasound video frames (20 fames/s) from the commercially available Siemens medical ultrasound scanner.