ANALYSIS OF ULTRASOUND IMAGE TEXTURE VIA GENERALIZED RICIAN STATISTICS.

Michael F. Insana, Robert F. Wagner, Brian S. Garra, David G. Brown, Thomas H. Shawker

Research output: Contribution to journalArticlepeer-review

Abstract

Tissue signatures are obtained from the first- and second-order statistics of ultrasonic B-scan texture. Laboratory measurements and early clinical results show that the image may be segmented to discriminate between different normal tissues and to detect abnormal conditions based on a multidimensional feature space. These features describe the intrinsic backscatter properties of the tissues imaged and may be used as the basis of an automatic tissue characterization algorithm.

Original languageEnglish (US)
Pages (from-to)743-748
Number of pages6
JournalOptical Engineering
Volume25
Issue number6
StatePublished - Jun 1 1986
Externally publishedYes

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

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