標題: Volume rendering the neural network in an insect brain in confocal microscopic volume images
作者: Ku, FCA
Ching, YT
資訊工程學系
Department of Computer Science
關鍵字: neuron fibers visualization;confocal microscopic volume image;Wavelet transform;matched filter;volume rendering
公開日期: 2003
摘要: 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.
URI: http://hdl.handle.net/11536/18447
http://dx.doi.org/10.1117/12.479807
ISBN: 0-8194-4830-3
ISSN: 0277-786X
DOI: 10.1117/12.479807
期刊: MEDICAL IMAGING 2003: VISUALIZATION, IMAGE-GUIDED PROCEDURES, AND DISPLAY
Volume: 5029
起始頁: 661
結束頁: 668
顯示於類別:會議論文


文件中的檔案:

  1. 000183701400071.pdf

若為 zip 檔案,請下載檔案解壓縮後,用瀏覽器開啟資料夾中的 index.html 瀏覽全文。