Minimallyminimally interactive soft tissue segmentation for 3-d display from tomographic images

R. T. Fan, L. L. Fellingham, S. J. Zinreich, C. B. Quinn

Research output: Contribution to journalArticlepeer-review

Abstract

Three-dimensional (3-D) display and volume determination of soft tissue anatomy can be clinically useful in facilitating a physician’s diagnosis, treatment, and evaluation. However current commercially available techniques for soft tissue segmentation and display have had limited success in accurately identifying soft tissue structures from two-dimensional (2-D) images. Simple global thresholding fails for a variety of reasons, requiring manual segmentation of soft tissue structures. Our objective is a robust segmentation method that eliminates the need for hand-outlining and yields reproducible results. As a step toward that objective, we have developed a software package that facilitates the use of existing segmentation methods (thresholding and hand-outlining) to segment soft tissue. Tools in this package allow the user to attain a greater success rate using thresholding, thereby decreasing the amount of hand-outlining that is required. The software package attempts to enhance reproducibilityreproducibility by minimizing user interaction.

Original languageEnglish (US)
Pages (from-to)279-286
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume1091
DOIs
StatePublished - May 8 1989

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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