NITRC News Group Forum: 3-d-image-pre-processing-algorithms-for-improved-automated-tracing-of-neuronal-arbors

NITRC News Group Forum: 3-d-image-pre-processing-algorithms-for-improved-automated-tracing-of-neuronal-arbors http://www.nitrc.org/forum/forum.php?forum_id=2953 <div class="Abstract" lang="en"><a name="Abs1"></a>Abstract  <div class="normal">The accuracy and reliability of automated neurite tracing systems is ultimately limited by image quality as reflected in the signal-to-noise ratio, contrast, and image variability. This paper describes a novel combination of image processing methods that operate on images of neurites captured by confocal and widefield microscopy, and produce synthetic images that are better suited to automated tracing. The algorithms are based on the curvelet transform (for denoising curvilinear structures and local orientation estimation), perceptual grouping by scalar voting (for elimination of non-tubular structures and improvement of neurite continuity while preserving branch points), adaptive focus detection, and depth estimation (for handling widefield images without deconvolution). The proposed methods are fast, and capable of handling large images. Their ability to handle images of unlimited size derives from automated tiling of large images along the lateral dimension, and processing of 3-D images one optical slice at a time. Their speed derives in part from the fact that the core computations are formulated in terms of the Fast Fourier Transform (FFT), and in part from parallel computation on multi-core computers. The methods are simple to apply to new images since they require very few adjustable parameters, all of which are intuitive. Examples of pre-processing DIADEM Challenge images are used to illustrate improved automated tracing resulting from our pre-processing methods. </div> </div><ul> <li>Content Type Journal Article</li><li>Category Original Article</li><li>Pages 219-231</li><li>DOI 10.1007/s12021-011-9116-z</li><li>Authors<ul> <li>Arunachalam Narayanaswamy, Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA</li><li>Yu Wang, Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA</li><li>Badrinath Roysam, Department of Electrical and Computer Engineering, University of Houston, Houston, TX 77204, USA</li> </ul></li> </ul><ul class="parents"> <ul class="details"> <li>Journal <a href="http://www.springerlink.com/content/120559/">Neuroinformatics</a></li><li>Online ISSN 1559-0089</li><li>Print ISSN 1539-2791</li> </ul><ul class="details"> <li>Journal Volume Volume 9</li> </ul><ul class="details"> <li>Journal Issue <a href="http://www.springerlink.com/content/q1w234205257/">Volume 9, Numbers 2-3</a></li> </ul> </ul> en-us Copyright 2000-2026 NITRC OSI Sun, 19 Apr 2026 19:08:49 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator