Optimized GPU Framework for Ultrasound Strain Imaging

Author

Lü, Pin ; Shi, Dan ; Liu, Dong C.

Author_Institution

Comput. Sci. Coll., Sichuan Univ., Chengdu, China

fYear

2011

fDate

10-12 May 2011

Firstpage

1

Lastpage

4

Abstract

A GPU framework for ultrasound strain image based on the motion tracking with phase zero method and strain estimation by least squares method is presented. The required signal processing is computationally intensive, involving crosscorrelation, box filter, and sum of squares, etc. In this paper, we describe the use of a graphics processing unit for implementing image processing algorithms of strain imaging that achieves a frame rate of 15 fps for the E-mode I/Q signal with 512 samples and 225 beam lines, which is about 20 times faster than the CPU implementation. Testing results from GPU and CPU are compared in terms of visual image quality and program runtime from different image sizes.

Keywords

biological tissues; biomechanics; biomedical ultrasonics; coprocessors; least squares approximations; medical image processing; strain measurement; target tracking; graphics processing unit; image processing algorithms; least squares method; motion tracking; optimised GPU framework; phase zero method; program runtime; signal processing; strain estimation; ultrasound strain imaging; visual image quality; Graphics processing unit; Histograms; Imaging; Instruction sets; Kernel; Strain; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on

Conference_Location

Wuhan

ISSN

2151-7614

Print_ISBN

978-1-4244-5088-6

Type

conf

DOI

10.1109/icbbe.2011.5780324

Filename

5780324