Analysis and classification of tissue with scatterer structure templates

Kevin D. Donohue, Flamming Forsberg, Catherine W. Piccoli, Barry B. Goldberg

Research output: Contribution to journalArticlepeer-review

43 Scopus citations


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.

Original languageEnglish
Pages (from-to)300-310
Number of pages11
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Issue number2
StatePublished - Mar 1999

Bibliographical note

Funding Information:
Manuscript received October 20, 1997; accepted August 21, 1998. The authors gratefully acknowledge the support of the National Cancer Institute and the National Institutes of Health Grant PO1-CA52823.

ASJC Scopus subject areas

  • Instrumentation
  • Acoustics and Ultrasonics
  • Electrical and Electronic Engineering


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