Paper
1 November 1991 New method for constructing 3-D liver from CT images
Yung-Nien Sun, Jiann-Jone Chen, Xi-Zhang Lin, Chi-Wu Mao
Author Affiliations +
Abstract
A new method for reconstructing 3-D shape from CT images is proposed in this paper. This approach recovers the original appearance of the organ by applying an evolutionary process to generate the interpolated contours for filling gaps between adjacent slices. It utilizes global shape information and prevents complicated matching with local features. It is powerful in handling CT images with large or unequal distance between slices. The morphological operations with suitable 3-D structuring elements, which can be implemented with parallel hardware, are used to suppress small fluctuations on the shape. Our new method provides a better visualization tool in clinical CT applications.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yung-Nien Sun, Jiann-Jone Chen, Xi-Zhang Lin, and Chi-Wu Mao "New method for constructing 3-D liver from CT images", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); https://doi.org/10.1117/12.50342
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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Image processing

Distance measurement

3D image processing

Computed tomography

Liver

Visual communications

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