Reducing breast biopsies by ultrasonographic analysis and a modified self-organizing map

Yi Zheng, James F. Greenleaf, John J. Gisvold

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

1 Scopus citations

Abstract

Recent studies suggest that visual evaluation of ultrasound images could decrease negative biopsies of breast cancer diagnosis. However, visual evaluation requires highly experienced breast sonographers. The objective of this study is to develop computerized radiologist assistant to reduce breast biopsies needed for evaluating suspected breast cancer. The approach of this study utilizes a neural network and tissue features extracted from digital sonographic breast images. The features include texture parameters of breast images: characteristics of echoes within and around breast lesions, and geometrical information of breast tumors. Clusters containing only benign lesions in the feature space are then identified by a modified self- organizing map. This newly developed neural network objectively segments population distributions of lesions and accurately establishes benign and equivocal regions.t eh method was applied to high quality breast sonograms of a large number of patients collected with a controlled procedure at Mayo Clinic. The study showed that the number of biopsies in this group of women could be decreased by 40 percent to 59 percent with high confidence and that no malignancies would have been included in the nonbiopsied group. The advantages of this approach are that it is robust, simple, and effective and does not require highly experienced sonographers.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages384-391
Number of pages8
ISBN (Print)0819424447
StatePublished - Dec 1 1997
EventMedical Imaging 1997: Physiology and Function from Multidimensional Images - Newport Beach, CA, USA
Duration: Feb 23 1997Feb 25 1997

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume3033
ISSN (Print)0277-786X

Other

OtherMedical Imaging 1997: Physiology and Function from Multidimensional Images
CityNewport Beach, CA, USA
Period2/23/972/25/97

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ASJC Scopus subject areas

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

Cite this

Zheng, Y., Greenleaf, J. F., & Gisvold, J. J. (1997). Reducing breast biopsies by ultrasonographic analysis and a modified self-organizing map. In Proceedings of SPIE - The International Society for Optical Engineering (pp. 384-391). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 3033). Society of Photo-Optical Instrumentation Engineers.