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

Author

Sarkar, Sandip ; Ghosh, Kuntal ; Bhaumik, Kamales

Author_Institution

Sana Inst. of Nucl. Phys., Kolkata

fYear

2007

fDate

18-21 Dec. 2007

Firstpage

159

Lastpage

163

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.

Keywords

filtering theory; interpolation; medical image processing; DSP processor; Siemens medical ultrasound scanner; TI DM642; bio-inspired interpolation kernel; human visual system; linear combination; medical image processing; realtime filtering; ultrasound video frames; Biomedical image processing; Biomedical imaging; Digital signal processing; Filtering algorithms; Gaussian processes; Humans; Interpolation; Kernel; Ultrasonic imaging; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computing and Communications, 2007. ADCOM 2007. International Conference on

Conference_Location

Guwahati, Assam

Print_ISBN

0-7695-3059-1

Type

conf

DOI

10.1109/ADCOM.2007.90

Filename

4425966