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

Fu Chi A. Ku*, Yu-Tai Ching

*Corresponding author for this work

Research output: Contribution to journalConference article

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.

Original languageEnglish
Pages (from-to)661-668
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5029
DOIs
StatePublished - 22 Aug 2003
EventMedical Imaging 2003: Visualization, Image-Guided Procedures and Display - San Diego, CA, United States
Duration: 16 Feb 200318 Feb 2003

Keywords

  • Confocal microscopic volume image
  • Matched filter
  • Neuron fibers visualization
  • Volume rendering
  • Wavelet transform

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