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Proceedings Paper

Three-dimensional reconstruction of liver from 2-D tomographic slices
Author(s): Jin-Shin Chou; Chin-Tu Chen; Maryellen Lissak Giger; Charles E. Kahn; Kyongtae Ty Bae; Wei-Chung Lin
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Paper 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.

Paper Details

Date Published: 1 March 1991
PDF: 6 pages
Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); doi: 10.1117/12.47736
Show Author Affiliations
Jin-Shin Chou, Univ. of Chicago (United States)
Chin-Tu Chen, Univ. of Chicago (United States)
Maryellen Lissak Giger, Univ. of Chicago (United States)
Charles E. Kahn, Univ. of Chicago (United States)
Kyongtae Ty Bae, Univ. of Chicago (United States)
Wei-Chung Lin, Northwestern Univ. (United States)


Published in SPIE Proceedings Vol. 1396:
Applications of Optical Engineering: Proceedings of OE/Midwest '90
Rudolph P. Guzik; Hans E. Eppinger; Richard E. Gillespie; Mary Kathryn Dubiel; James E. Pearson, Editor(s)

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