Literature DB >> 18218463

Use of non-Rayleigh statistics for the identification of tumors in ultrasonic B-scans of the breast.

P M Shankar1, J M Reid, H Ortega, C W Piccoli, B B Goldberg.   

Abstract

A model for the scattering of ultrasound from breast tissue is proposed. The model is based on the use of non-Rayleigh statistics, specifically the K distribution to describe the backscattered echo from the tissue. A multiparameter test based on this model has been designed to characterize the tissue. The data from the B-scan images of the breasts of 6 different patients were analyzed using this model. The results indicate that the non-Rayleigh statistics seem to be useful in characterizing and identifying malignant, benign, and normal tissue regions.

Entities:  

Year:  1993        PMID： 18218463     DOI： 10.1109/42.251119

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN： 0278-0062            Impact factor:   10.048


  12 in total

1.  Trial of a quantitative method for evaluating hemangioma of the liver and hepatocellular carcinoma using a radio-frequency signal.

Authors:  Kazutoki Kogure
Journal:  J Med Ultrason (2001)       Date:  2005-12       Impact factor: 1.314

2.  Quantitative ultrasonic characterization of diffuse scatterers in the presence of structures that produce coherent echoes.

Authors:  Adam C Luchies; Goutam Ghoshal; William D O'Brien; Michael L Oelze
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2012-05       Impact factor: 2.725

3.  ESTIMATION METHOD OF THE HOMODYNED K-DISTRIBUTION BASED ON THE MEAN INTENSITY AND TWO LOG-MOMENTS.

Authors:  François Destrempes; Jonathan Porée; Guy Cloutier
Journal:  SIAM J Imaging Sci       Date:  2013-08-23       Impact factor: 2.867

4.  Quantitative evaluation of diagnostic information around the contours in ultrasound images.

Authors:  Masayasu Ito; Tomoaki Chono; Megumu Sekiguchi; Tsuyoshi Shiina; Hideaki Mori; Eriko Tohno
Journal:  J Med Ultrason (2001)       Date:  2005-12       Impact factor: 1.314

5.  Proposal of a parametric imaging method for quantitative diagnosis of liver fibrosis.

Authors:  Tadashi Yamaguchi; Hiroyuki Hachiya
Journal:  J Med Ultrason (2001)       Date:  2010-07-13       Impact factor: 1.314

6.  A cost-sensitive extension of AdaBoost with markov random field priors for automated segmentation of breast tumors in ultrasonic images.

Authors:  Atsushi Takemura; Akinobu Shimizu; Kazuhiko Hamamoto
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-06-23       Impact factor: 2.924

7.  Analysis of Coherent and Diffuse Scattering Using a Reference Phantom.

Authors:  Ivan M Rosado-Mendez; Lindsey C Drehfal; James A Zagzebski; Timothy J Hall
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2016-03-25       Impact factor: 2.725

8.  Multifeature analysis of an ultrasound quantitative diagnostic index for classifying nonalcoholic fatty liver disease.

Authors:  Yin-Yin Liao; Kuen-Cheh Yang; Ming-Ju Lee; Kuo-Chin Huang; Jin-De Chen; Chih-Kuang Yeh
Journal:  Sci Rep       Date:  2016-10-13       Impact factor: 4.379

9.  Small-window parametric imaging based on information entropy for ultrasound tissue characterization.

Authors:  Po-Hsiang Tsui; Chin-Kuo Chen; Wen-Hung Kuo; King-Jen Chang; Jui Fang; Hsiang-Yang Ma; Dean Chou
Journal:  Sci Rep       Date:  2017-01-20       Impact factor: 4.379

10.  Optical Coherence Tomography Noise Reduction Using Anisotropic Local Bivariate Gaussian Mixture Prior in 3D Complex Wavelet Domain.

Authors:  Hossein Rabbani; Milan Sonka; Michael D Abramoff
Journal:  Int J Biomed Imaging       Date:  2013-10-10
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