<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="https://stage.nitrcce.org/themes/nitrc3.0/css/rss.xsl.php?feed=https://stage.nitrcce.org/export/rss20_forum.php?forum_id=2432" ?>
<?xml-stylesheet type="text/css" href="https://stage.nitrcce.org/themes/nitrc3.0/css/rss.css" ?>
<rss version="2.0"> <channel>
  <title>NITRC News Group Forum: common-atlas-format-and-3d-brain-atlas-reconstructor--infrastructure-for-constructing-3d-brain-atlases</title>
  <link>http://stage.nitrcce.org/forum/forum.php?forum_id=2432</link>
  <description>&lt;p class=&quot;abstract&quot;&gt;&lt;div class=&quot;Abstract&quot; lang=&quot;en&quot;&gt;&lt;a name=&quot;Abs1&quot;&gt;&lt;/a&gt;&lt;span class=&quot;AbstractHeading&quot;&gt;Abstract&amp;nbsp;&amp;nbsp;&lt;/span&gt;&lt;div class=&quot;normal&quot;&gt;One of the challenges of modern neuroscience is integrating voluminous data of diferent modalities derived from a variety
 of specimens. This task requires a common spatial framework that can be provided by brain atlases. The first atlases were
 limited to two-dimentional presentation of structural data. Recently, attempts at creating 3D atlases have been made to offer
 navigation within non-standard anatomical planes and improve capability of localization of different types of data within
 the brain volume. The 3D atlases available so far have been created using frameworks which make it difficult for other researchers
 to replicate the results. To facilitate reproducible research and data sharing in the field we propose an SVG-based Common
 Atlas Format (CAF) to store 2D atlas delineations or other compatible data and 3D Brain Atlas Reconstructor (3dBAR), software
 dedicated to automated reconstruction of three-dimensional brain structures from 2D atlas data. The basic functionality is
 provided by (1) a set of parsers which translate various atlases from a number of formats into the CAF, and (2) a module generating
 3D models from CAF datasets. The whole reconstruction process is reproducible and can easily be configured, tracked and reviewed,
 which facilitates fixing errors. Manual corrections can be made when automatic reconstruction is not sufficient. The software
 was designed to simplify interoperability with other neuroinformatics tools by using open file formats. The content can easily
 be exchanged at any stage of data processing. The framework allows for the addition of new public or proprietary content.
 &lt;/div&gt;
 &lt;/div&gt;&lt;/p&gt;&lt;ul&gt;
	&lt;li&gt;&lt;span class=&quot;labelName&quot;&gt;Content Type &lt;/span&gt;&lt;span class=&quot;labelValue&quot;&gt;Journal Article&lt;/span&gt;&lt;/li&gt;&lt;li&gt;Category Original Article&lt;/li&gt;&lt;li&gt;Pages 1-17&lt;/li&gt;&lt;li&gt;DOI 10.1007/s12021-011-9138-6&lt;/li&gt;&lt;li&gt;&lt;span class=&quot;labelName&quot;&gt;Authors&lt;/span&gt;&lt;ul&gt;
		&lt;li&gt;Piotr Majka, Department of Neurophysiology, Nencki Institute of Experimental Biology, 3 Pasteur Street, 02-093 Warsaw, Poland&lt;/li&gt;&lt;li&gt;Ewa Kublik, Department of Neurophysiology, Nencki Institute of Experimental Biology, 3 Pasteur Street, 02-093 Warsaw, Poland&lt;/li&gt;&lt;li&gt;Grzegorz Furga, Department of Mathematics, Mechanics and Computer Science, University of Warsaw, Warsaw, Poland&lt;/li&gt;&lt;li&gt;Daniel Krzysztof Wójcik, Department of Neurophysiology, Nencki Institute of Experimental Biology, 3 Pasteur Street, 02-093 Warsaw, Poland&lt;/li&gt;
	&lt;/ul&gt;&lt;/li&gt;
&lt;/ul&gt;&lt;ul class=&quot;parents&quot;&gt;
	&lt;ul class=&quot;details&quot;&gt;
		&lt;li&gt;&lt;span class=&quot;header labelName&quot;&gt;Journal &lt;/span&gt;&lt;span class=&quot;labelValue&quot;&gt;&lt;a href=&quot;http://www.springerlink.com/content/120559/&quot;&gt;Neuroinformatics&lt;/a&gt;&lt;/span&gt;&lt;/li&gt;&lt;li&gt;&lt;span class=&quot;labelName&quot;&gt;Online ISSN &lt;/span&gt;&lt;span class=&quot;labelValue&quot;&gt;1559-0089&lt;/span&gt;&lt;/li&gt;&lt;li&gt;&lt;span class=&quot;labelName&quot;&gt;Print ISSN &lt;/span&gt;&lt;span class=&quot;labelValue&quot;&gt;1539-2791&lt;/span&gt;&lt;/li&gt;
	&lt;/ul&gt;
&lt;/ul&gt;</description>
  <language>en-us</language>
  <copyright>Copyright 2000-2026 NITRC OSI</copyright>
  <webMaster></webMaster>
  <lastBuildDate>Sun, 19 Apr 2026 0:51:10 GMT</lastBuildDate>
  <docs>http://blogs.law.harvard.edu/tech/rss</docs>
  <generator>NITRC RSS generator</generator>
 </channel>
</rss>
