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Proceedings Paper

Minimally Interactive Soft Tissue Segmentation for 3-D Display from Tomographic Images
Author(s): R. T. Fan; S. J. Zinreich; C. B. Quinn; L. L. Fellingham
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Paper 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 reproducibility by minimizing user interaction.

Paper Details

Date Published: 8 May 1989
PDF: 8 pages
Proc. SPIE 1091, Medical Imaging III: Image Capture and Display, (8 May 1989); doi: 10.1117/12.976462
Show Author Affiliations
R. T. Fan, CEMAX, Inc. (United States)
S. J. Zinreich, The Johns Hopkins Medical Institutions (United States)
C. B. Quinn, The Johns Hopkins Medical Institutions (United States)
L. L. Fellingham, CEMAX, Inc. (United States)

Published in SPIE Proceedings Vol. 1091:
Medical Imaging III: Image Capture and Display
Samuel J. Dwyer; R. Gilbert Jost; Roger H. Schneider, Editor(s)

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