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