DocumentCode :
301242
Title :
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
Link To Document :
بازگشت