<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel>
	<title>Comments on: Registration using Embedded Maps</title>
	<atom:link href="http://www.loni.ucla.edu/Software/rss.php?package=REM" rel="self" type="application/rss+xml" />
	<link>http://www.loni.ucla.edu/Software/rss.php?package=REM</link>
	<description>Registration is a fundamental processing component of most biomedical image analysis methods. Registration when one image contains a region not in the other violates topological preservation, a constraint used in many modern registration methods. REM represents the source and target images as embedded maps that combine intensity and the imaging space into one geometric object, a manifold. Registration is the performed on the manifolds so that changes in image tolopology  can be recovered as intensity transformations. The product is a combined geometric and intensity transformation matching the source and target images.</description>
	<pubDate>Thu, 20 Jun 2013 02:58:18 +0000</pubDate>
 	<ttl>5</ttl>
    0    </channel>
</rss>
