An Analytical Method to Compare Image Processing Filters for 3D Reconstruction of Ultrasonic Images

Author

Asad, Babakhani ; Zhi-Jiang, Du ; Li-Ning, Sun ; Wen, Cheng ; Reza, Kardan ; Fereidoun, Mianji A.

Author_Institution

Harbin Inst. of Technol., Harbin

fYear

2007

fDate

5-8 Aug. 2007

Firstpage

1439

Lastpage

1444

Abstract

Precise 3D reconstructions of 2D ultrasonic images are important for robot navigation. In this paper a new analytical method to select the best image processing filters for 3D reconstruction of ultrasonic has been proposed. It is based on four goals: signal to noise enhancement, errors caused by filters in 2D images and 3D shapes and visual appearance. It is found the adaptive nonlocal filtering (OFS) has the best quality in aspect of error in 2D and 3D features and promoting signal to noise. The analytical method has been examined by real ultrasonic images of patients and simulated images made by Field II. It is suggested to use OFS filter for robust ultrasonic 3D reconstruction.

Keywords

adaptive filters; image enhancement; image reconstruction; ultrasonic imaging; 3D reconstruction; adaptive nonlocal filtering; image processing filters; image reconstruction; robot navigation; signal to noise enhancement; ultrasonic image; visual appearance; Adaptive filters; Analytical models; Filtering; Image analysis; Image processing; Image reconstruction; Navigation; Noise shaping; Robots; Shape; 3D reconstruction; Image processing; Matlab; Ultrasonic;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, 2007. ICMA 2007. International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-0828-3

Electronic_ISBN

978-1-4244-0828-3

Type

conf

DOI

10.1109/ICMA.2007.4303761

Filename

4303761