8 May 1989 Minimally Interactive Soft Tissue Segmentation for 3-D Display from Tomographic Images
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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.
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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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