Three-dimensional speckle reducing anisotropic diffusion

Author

Yu, Yongjian ; Molloy, Janelle A. ; Acton, Scott T.

Author_Institution

Dept. of Radiat. Oncology, Virginia Univ., Charlottesville, VA, USA

Volume

2

fYear

2003

fDate

9-12 Nov. 2003

Firstpage

1987

Abstract

The two-dimensional speckle reducing anisotropic diffusion (SRAD) algorithm developed for despeckling ultrasound imagery to obtain a SRAD algorithm capable of enhancing volumetric ultrasound data is presented in this paper. First, an instantaneous coefficient of variation edge detector appropriate for 3D data set presented. Then, the 3D SRAD partial differential equation is formulated by replacing the gradient operator in the traditional diffusion mechanism with the derived 3D ICOV operator. We demonstrate the performance of the 3D SRAD using synthetic 3D ultrasound data acquired from an ellipsoid and real data acquired from the left ventricle (LV) of a murine heart.

Keywords

cardiology; edge detection; image enhancement; medical image processing; partial differential equations; 3D instantaneous coefficient of variation operator; 3D speckle reducing anisotropic diffusion algorithm; despeckling ultrasound imagery; edge detector; ellipsoid; left ventricle; murine heart; partial differential equation; synthetic 3D ultrasound data set; volumetric ultrasound data enhancement; Animal structures; Anisotropic magnetoresistance; Data mining; Detectors; Differential equations; Image edge detection; Oncology; Partial differential equations; Speckle; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on

Print_ISBN

0-7803-8104-1

Type

conf

DOI

10.1109/ACSSC.2003.1292329

Filename

1292329