Fast GPU-Based Automatic Time Gain Compensation for Ultrasound Imaging

Author

Shi, Dan ; Fan, Zhengjuan ; Yin, Hao ; Liu, Dong C.

Author_Institution

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

fYear

2010

fDate

18-20 June 2010

Firstpage

1

Lastpage

4

Abstract

The Compute Unified Device Architecture (CUDA) is a new programming platform making use of the unified shader design of the most current Graphics Processing Units (GPUs) from NVIDIA. In this paper, we apply this revolutionary new technology to implement the automatic time gain compensation (ATGC) for medical ultrasound imaging. The parallel box filtering method and general matrix computation algorithms are also presented. This ATGC method achieves a frame rate of 125 fps for the 512×261 image, about 79 times faster than the CPU implementation. Testing results from GPU and CPU are compared in terms of visual image quality and program runtime with different image sizes.

Keywords

automatic gain control; biomedical ultrasonics; compensation; matrix algebra; medical image processing; ultrasonic imaging; ATGC; CPU; CUDA; GPU; NVIDIA; automatic time gain compensation; compute unified device architecture; depth gain compensation; graphics processing unit; image size; matrix computation algorithms; medical ultrasound imaging; parallel box filtering; time gain control; unified shader design; visual image quality; Biomedical imaging; Central Processing Unit; Computer architecture; Concurrent computing; Filtering algorithms; Graphics; Image quality; Runtime; Testing; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on

Conference_Location

Chengdu

ISSN

2151-7614

Print_ISBN

978-1-4244-4712-1

Electronic_ISBN

2151-7614

Type

conf

DOI

10.1109/ICBBE.2010.5516870

Filename

5516870