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Proceedings Paper

Effective registration and visualization of fluorescent neural images
Author(s): Navaneetha Vaidhyanathan; Yinlong Sun; Bradley Duerstock; Andrew A. Koob
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Paper Abstract

Determining the neural connectivity of brain is an essential problem in neuroscience and the fluorescent imaging technique is a very useful to study this problem. In this technique, a real brain (typically of rat) is injected with a fluorescent dye and then sectioned into thin slices. Each slice is then exposed to illumination and a high-resolution image is captured. The areas in a slice that are impacted by the dye generate strong brightness due to fluorescence, and these regions reveal useful information on the neural connectivity. However, it is challenging to automatically register the image series. In this paper, we propose effective methods for the registration of fluorescent neural images. Our approach is based on the edge features of images. First, we use an effective method for edge detection. Then we adopt multi-level pattern recognition using clustering algorithms with the Mahalanobis distance criteria to isolate individual features. Finally, we adopt an elastic registration scheme using the thin-plate spline algorithm to solve the multivariate interpolation problem. Once all images are registered, we apply an elliptic weighted average (EWA) splatting technique for volume visualization. Our rendered results clearly display the 3D structures of the neural connectivity.

Paper Details

Date Published: 11 March 2005
PDF: 12 pages
Proc. SPIE 5669, Visualization and Data Analysis 2005, (11 March 2005); doi: 10.1117/12.587671
Show Author Affiliations
Navaneetha Vaidhyanathan, Purdue Univ. (United States)
Yinlong Sun, Purdue Univ. (United States)
Bradley Duerstock, Purdue Univ. (United States)
Andrew A. Koob, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 5669:
Visualization and Data Analysis 2005
Robert F. Erbacher; Jonathan C. Roberts; Matti T. Grohn; Katy Borner, Editor(s)

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