Effective registration and visualization of fluorescent neural images

Navaneetha Vaidhyanathan; Yinlong Sun; Bradley Duerstock; Andrew A. Koob

doi:10.1117/12.587671

11 March 2005 Effective registration and visualization of fluorescent neural images

Navaneetha Vaidhyanathan, Yinlong Sun, Bradley Duerstock, Andrew A. Koob

Proceedings Volume 5669, Visualization and Data Analysis 2005; (2005) https://doi.org/10.1117/12.587671
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

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.

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Navaneetha Vaidhyanathan, Yinlong Sun, Bradley Duerstock, and Andrew A. Koob "Effective registration and visualization of fluorescent neural images", Proc. SPIE 5669, Visualization and Data Analysis 2005, (11 March 2005); https://doi.org/10.1117/12.587671

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KEYWORDS

Image registration

Brain

Visualization

Volume rendering

Tissues

Volume visualization

Injuries

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