3D Boundary Reconstruction of Mouse Brain Cells

Author

Guan, YQ ; Opas, M. ; Lee, YT ; Cai, YY

Author_Institution

Sch. of Mech. & Aerosp. Eng., Nanyang Technol. Univ., Singapore

fYear

2006

fDate

5-8 Dec. 2006

Firstpage

1

Lastpage

3

Abstract

This paper reports our 3D reconstruction work of mouse brain cells from a confocal image stack. Gradients at volumetric points are used for boundary surface extraction and structure visualization from 3D volumetric confocal microscopic images. We present a method to automatically evaluate the suitability of gradients for 3D boundary identification. The approach developed is applied for 3D reconstruction of mouse brain cells from confocal image stack

Keywords

biology computing; brain; cellular biophysics; feature extraction; image reconstruction; microscopy; stereo image processing; 3D boundary identification; 3D boundary reconstruction; 3D volumetric confocal microscopic images; boundary surface extraction; mouse brain cells; structure visualization; volume visualization; Aerospace engineering; Brain cells; Filters; Image edge detection; Image reconstruction; Laboratories; Mice; Microscopy; Paper technology; Visualization; 3D boundary reconstruction; gradient; mouse brain cell; volume visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on

Conference_Location

Singapore

Print_ISBN

1-4244-0341-3

Electronic_ISBN

1-4214-042-1

Type

conf

DOI

10.1109/ICARCV.2006.345482

Filename

4150411