Volume rendering the neural network in an insect brain in confocal microscopic volume images

Fu-Chi Alex Ku; Yu-Tai Ching

doi:10.1117/12.479807

30 May 2003 Volume rendering the neural network in an insect brain in confocal microscopic volume images

Fu-Chi Alex Ku, Yu-Tai Ching

Proceedings Volume 5029, Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display; (2003) https://doi.org/10.1117/12.479807
Event: Medical Imaging 2003, 2003, San Diego, California, United States

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.

Citation Download Citation

Fu-Chi Alex Ku and Yu-Tai Ching "Volume rendering the neural network in an insect brain in confocal microscopic volume images", Proc. SPIE 5029, Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display, (30 May 2003); https://doi.org/10.1117/12.479807

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