Detecting and estimating structure regularity of soft tissue organs from ultrasound images

Author

Cohen, Femand S. ; Georgiou, Georgia

Author_Institution

Imaging & Comput. Vision Center, Drexel Univ., Philadelphia, PA, USA

Volume

2

fYear

1995

fDate

23-26 Oct 1995

Firstpage

488

Abstract

This paper deals with the problem of detecting and estimating the scatterer spacing between the regularly-spaced resolvable coherent scatterers found in tissue. This parameter has been successfully used in classifying tissue structure, in differentiating between normal and cirrhotic liver, and in detecting diffuse liver disease. This paper presents a Wold decomposition of the radio frequency (RF) field into its diffused and coherent components from which maximum likelihood estimates (MLE) or minimum mean square error (MMSE) estimates of the scattering spacing is easily computed

Keywords

biomedical ultrasonics; liver; maximum likelihood estimation; medical image processing; parameter estimation; ultrasonic scattering; RF field; Wold decomposition; cirrhotic liver; coherent components; diffuse liver disease; diffused components; maximum likelihood estimates; minimum mean square error estimates; normal liver; regularly-spaced resolvable coherent scatterers; scatterer spacing; soft tissue organs; structure regularity detection; structure regularity estimation; tissue structure classification; ultrasound images; Biological tissues; Computer vision; Frequency estimation; Image resolution; Light scattering; Liver diseases; Maximum likelihood estimation; Pulse shaping methods; Radio frequency; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1995. Proceedings., International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-8186-7310-9

Type

conf

DOI

10.1109/ICIP.1995.537522

Filename

537522