Application of statistical pattern recognition and image processing in ultrasound tissue characterization

Reza Momenan, Murray H. Loew, Robert F. Wagner, Brian S. Garra, Michael Insana

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper consists of two parts. The first part considers the limitations imposed by statistical properties of ultrasound images. Through this analysis the minimum detectable tumor size from an ultrasound B-scan using the current state of the art is determined; the second part describes an improvement to a successful tissue-characterization algorithm that adds several image processing steps to compute the tissue-characterization features. The inclusion of such steps will enable the tissue-characterization algorithm to take advantage of visual cues similar to those that a clinician would use to differentiate various organs and segments of the image. This in turn expands the applicability of the present tissue-characterization algorithm from multivariate to multiorgan and multidisease cases.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsMurray H. Loew
PublisherPubl by Int Soc for Optical Engineering
Number of pages10
ISBN (Print)081940277X
StatePublished - 1990
Externally publishedYes
EventMedical Imaging IV: Image Processing - Newport Beach, CA, USA
Duration: Feb 6 1990Feb 8 1990


OtherMedical Imaging IV: Image Processing
CityNewport Beach, CA, USA

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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