Abstract
Visualization of the liver in three dimensions (3-D) can improve the accuracy of volumetric estimation and also aid in surgical planning. We have developed a method for 3-D visualization of the liver using x-ray computed tomography (CT) or magnetic resonance (MR) images. This method includes four major components: (1) segmentation algorithms for extracting liver data from tomographic images; (2) interpolation techniques for both shape and intensity; (3) schemes for volume rendering and display, and (4) routines for electronic surgery and image analysis. This method has been applied to cases from a living-donor liver transplant project and appears to be useful for surgical planning.
Original language | English (US) |
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Pages (from-to) | 75-77 |
Number of pages | 3 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 1444 |
State | Published - Jan 1 1991 |
Event | Medical Imaging V: Image Capture, Formatting, and Display - San Jose, CA, USA Duration: Feb 24 1991 → Feb 26 1991 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering