NDLI: Analysis and classification of tissue with scatterer structure templates

Content Provider	IEEE Xplore Digital Library
Author	Donohue, K.D. Forsberg, F. Piccoli, C.V. Goldberg, B.B.
Copyright Year	1986
Abstract	Back-scattered ultrasonic signals provide scatterer structure information. Large-scale structures, such as tissue and tumor boundaries, typically create significant amplitude differences that reveal boundaries in conventional intensity images. Small-scale structures typically result in textures observed over regions of the intensity image. This paper describes the generalized spectrum (GS) for characterizing small-scale scatterer structures and applies it to analyze scatterer structures in a class of malignant and benign breast masses. Methods are presented for scaling and normalizing the GS to reduce effects from system response, overlaying tissue, and variability from noncritical structures. Results from a limited clinical study demonstrate an application of using the GS to discriminate between benign and malignant breast masses that contain internal echoes. Sections of rf A-scans in 41 breast mass regions were taken from 26 patients. A GS analysis was applied to determine critical structural properties between a class of fibroadenoma and carcinoma masses. Classifiers designed using significant structure differences identified by the GS analysis achieved approximately 82% true-positive and 10% false-positive rates.
Page Count	11
File Size	342547
Starting Page	300
Ending Page	310
File Format	PDF
ISSN	08853010
Volume Number	46
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Scattering Frequency estimation Cancer Breast Large-scale systems Electrical capacitance tomography Ultrasonic imaging Autocorrelation Frequency response Neoplasms
Content Type	Text
Resource Type	Article
Subject	Acoustics and Ultrasonics Instrumentation Electrical and Electronic Engineering

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