Title :
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
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;
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
DOI :
10.1109/ICARCV.2006.345482
