Paper
1 March 1991 Three-dimensional reconstruction of liver from 2-D tomographic slices
Jin-Shin Chou, Chin-Tu Chen, Maryellen Lissak Giger, Charles E. Kahn Jr., Kyongtae Ty Bae, Wei-Chung Lin
Author Affiliations +
Proceedings Volume 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90; (1991) https://doi.org/10.1117/12.47736
Event: Applications of Optical Engineering: Proceedings of OE/Midwest '90, 1990, Rosemont, IL, United States
Abstract
Visualization of liver image data in three dimensions (3-D) can reveal new information to aid physicians in volume calculation and surgical planning. Liver image data are first extracted from a series of 2-D cross-sectional abdominal images by using an automated segmentation technique. An interpolation technique is then applied to construct a 3-D liver image data set having the same spatial resolution in all three directions. This 3-D liver image data set is used as an input in surface rendering and volume rendering to generate two sets of 3-D liver displays. We have applied our methods to clinical liver images obtained from cases of a living-donor liver transplant program. 1.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jin-Shin Chou, Chin-Tu Chen, Maryellen Lissak Giger, Charles E. Kahn Jr., Kyongtae Ty Bae, and Wei-Chung Lin "Three-dimensional reconstruction of liver from 2-D tomographic slices", Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); https://doi.org/10.1117/12.47736
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KEYWORDS
Liver

3D image processing

Image segmentation

3D image reconstruction

3D displays

Volume rendering

Visualization

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