Three-dimensional speckle reducing anisotropic diffusion

被引：0

作者：

Yu, YJ ^{[1
]}

Molloy, JA ^{[1
]}

Acton, ST ^{[1
]}

机构：

[1] Univ Virginia, Dept Radiat Oncol, Charlottesville, VA 22904 USA

来源：

CONFERENCE RECORD OF THE THIRTY-SEVENTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2 | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We generalize 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. 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.

引用

页码：1987 / 1991

页数：5

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