8 May 1989 Minimally Interactive Soft Tissue Segmentation for 3-D Display from Tomographic Images
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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.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. T. Fan, R. T. Fan, S. J. Zinreich, S. J. Zinreich, C. B. Quinn, C. B. Quinn, L. L. Fellingham, L. L. Fellingham, } "Minimally Interactive Soft Tissue Segmentation for 3-D Display from Tomographic Images", Proc. SPIE 1091, Medical Imaging III: Image Capture and Display, (8 May 1989); doi: 10.1117/12.976462; https://doi.org/10.1117/12.976462

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