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Proceedings Paper

Volume rendering the neural network in an insect brain in confocal microscopic volume images
Author(s): Fu-Chi Alex Ku; Yu-Tai Ching
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Paper Abstract

Confocal microscopy is an important tool in neural science research. Using proper staining technique, the neural network can be visualized in the confocal microscopic images. It is a great help if neural scientists can directly visualize the 3D neural network. Volume render the neuron fibers is not easy since other objects such as neuropils are also polluted in the staining process and the neuron fiber is thin comparing to the background. Preprocessing of the image to enhance the neuron fibers before volume rendering can help to build a better 3D image of the neural network. In this study, we used the Fourier Transform, the Wavelet Transform, and the matched filter techniques to enhance the neural fibers before volume rendering is applied. Experimental results show that such preprocessing steps help to generate a more clear 3D images of the neural network.

Paper Details

Date Published: 30 May 2003
PDF: 8 pages
Proc. SPIE 5029, Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display, (30 May 2003); doi: 10.1117/12.479807
Show Author Affiliations
Fu-Chi Alex Ku, National Chiao Tung Univ. (Taiwan)
Yu-Tai Ching, National Chiao Tung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 5029:
Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display
Robert L. Galloway, Editor(s)

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