UNIFIED APPROACH TO THE DETECTION AND CLASSIFICATION OF SPECKLE TEXTURE IN DIAGNOSTIC ULTRASOUND.

Robert F. Wagner; Michael F. Insana; David G. Brown

doi:10.1117/12.7973899

UNIFIED APPROACH TO THE DETECTION AND CLASSIFICATION OF SPECKLE TEXTURE IN DIAGNOSTIC ULTRASOUND.

Robert F. Wagner, Michael F. Insana, David G. Brown

Research output: Contribution to journal › Article › peer-review

Abstract

Second-order statistics have been derived for the speckle in diagnostic ultrasound that arises from diffuse (incoherent) scattering in the presence of distributed and organized specular (coherent) scattering. They serve as the basis for a three-dimensional feature space in which tissue textures can be classified. The covariance matrix of the measurements in this space is a generalization of the speckle spot number or sampling concept that arises in the study of signal or lesion detectability.

Original language	English (US)
Pages (from-to)	738-742
Number of pages	5
Journal	Optical Engineering
Volume	25
Issue number	6
DOIs	https://doi.org/10.1117/12.7973899
State	Published - 1986
Externally published	Yes

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Engineering(all)

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10.1117/12.7973899

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abstract = "Second-order statistics have been derived for the speckle in diagnostic ultrasound that arises from diffuse (incoherent) scattering in the presence of distributed and organized specular (coherent) scattering. They serve as the basis for a three-dimensional feature space in which tissue textures can be classified. The covariance matrix of the measurements in this space is a generalization of the speckle spot number or sampling concept that arises in the study of signal or lesion detectability.",

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UNIFIED APPROACH TO THE DETECTION AND CLASSIFICATION OF SPECKLE TEXTURE IN DIAGNOSTIC ULTRASOUND.

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