DocumentCode :
2552491
Title :
Volumetric modeling of neuronal populations
Author :
Huntsberger, T.L. ; Peroni, M. ; Augustine, J.R.
Author_Institution :
South Carolina Univ., Columbia, SC, USA
fYear :
1990
fDate :
22-25 May 1990
Firstpage :
36
Lastpage :
40
Abstract :
The authors describe a method for the automatic identification of labeled neuronal cell populations, coupled with the subsequent three-dimensional reconstruction and volumetric rendering of a set of serial thin sections. This was achieved by applying morphological image-processing operations to each of the serial sections. Surface fitting techniques were then developed for the neuronal cell population delineation. The coupling of volumetric rendering and interior surface fitting adds to the ease of visual interpretation of this complicated three-dimensional structure
Keywords :
biology computing; computerised picture processing; neurophysiology; physiological models; 3D reconstruction; automatic identification method; complicated 3D structure; interior surface fitting; morphological image-processing operations; neuronal populations; serial thin sections; surface fitting techniques; volumetric modeling; volumetric rendering; Image analysis; Image processing; Image reconstruction; Pattern recognition; Rendering (computer graphics); Shape; Spline; Surface fitting; Surface morphology; Surface reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visualization in Biomedical Computing, 1990., Proceedings of the First Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-8186-2039-0
Type :
conf
DOI :
10.1109/VBC.1990.109299
Filename :
109299
Link To Document :
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