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

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

P.M Shankar, J.M Reid, H Ortega, C.W Piccoli and B.B Goldberg
IEEE transactions on medical imaging, v 12(4), pp 687-692
Dec 1993
DOI: https://doi.org/10.1109/42.251119
PMID: 18218463
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Breast neoplasms Breast tissue Cancer Heart Higher order statistics Radar scattering Rayleigh scattering Shape measurement Statistical distributions Ultrasonic imaging
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.< >

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128 citations in Web of Science
152 citations in Scopus

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#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
Web of Science research areas
Computer Science, Interdisciplinary Applications
Engineering, Biomedical
Engineering, Electrical & Electronic
Imaging Science & Photographic Technology
Radiology, Nuclear Medicine & Medical Imaging
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