DocumentCode
3040594
Title
Denosing 3D Ultrasound Images by Non-local Means Accelerated by GPU
Author
Hu, Song ; Hou, WenGuang
Author_Institution
Dept. of Biomed. Eng., HuaZhong Univ. of Sci. & Technol., Wuhan, China
fYear
2011
fDate
14-17 Dec. 2011
Firstpage
43
Lastpage
45
Abstract
In Ultrasound imaging, speckle noise is the most serious problem which affects the performance of images. Non-local mean filter is a nice method to remove the speckle noise, but the algorithm´ computational complexity makes it´s a highly time-consuming method. In many applications like image-guided surgical intervention, real-time de-noising is required. This paper implements a NLM method accelerated by GPU for real-time denoising of 3D ultrasound images. The experimental results show the proposed accelerated de-noising method is efficient in terms of denoising quality and real-time.
Keywords
biomedical ultrasonics; computational complexity; filtering theory; graphics processing units; image denoising; medical image processing; surgery; ultrasonic imaging; 3D ultrasound image denoising; GPU; NLM method; computational complexity; denoising quality; image-guided surgical intervention; nonlocal mean filter; real-time denoising; speckle noise removal; Biomedical imaging; Filtering algorithms; Graphics processing unit; Noise reduction; Speckle; Three dimensional displays; Ultrasonic imaging; 3D ultrasound; GPU; NLM;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation and Bio-Medical Instrumentation (ICBMI), 2011 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-1-4577-1152-7
Type
conf
DOI
10.1109/ICBMI.2011.53
Filename
6131700
Link To Document