Title :
Three-dimensional visualization of the liver from computed-tomography data
Author :
Kahn, Charles E., Jr. ; Bae, Kyongtae ; Giger, Maryellen L. ; Chen, Chien-Ting
Author_Institution :
Dept. of Radiol., Chicago Univ., IL, USA
Abstract :
A method for 3D surface mapping from computer tomography (CT) images of the abdomen is described. The liver can be visualized in 3D from any perspective and can be shown either alone or through the translucent abdominal wall. Artificial-intelligence techniques are used to identify salient anatomic features from which the lobar and segmental anatomy can be determined. These methods are applied to abdominal CTs of potential donors of segmental liver transplants, in which preoperative volumetry and visualization of the left lateral segment are of significant value.<>
Keywords :
computerised tomography; liver; 3D surface mapping liver 3D visualization; abdomen; artificial intelligence techniques; computed-tomography data; lobar anatomy; preoperative volumetry; salient anatomic features; segmental anatomy; segmental liver transplants; translucent abdominal wall; Abdomen; Computed tomography; Computer displays; Data visualization; Image segmentation; Liver; Radiology; Rendering (computer graphics); Sun; Surface morphology;
Conference_Titel :
Visualization in Biomedical Computing, 1990., Proceedings of the First Conference on
Conference_Location :
Atlanta, GA, USA
Print_ISBN :
0-8186-2039-0
DOI :
10.1109/VBC.1990.109354
