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	<title>DTI &#8211; MICLab</title>
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		<title>Divergence map from diffusion tensor imaging: Concepts and application to corpus callosum</title>
		<link>https://miclab.fee.unicamp.br/publications/engineering-in-medicine-and-biology-society-embc-2016/</link>
		
		<dc:creator><![CDATA[MIC-Suporte]]></dc:creator>
		<pubDate>Mon, 04 Apr 2022 12:11:43 +0000</pubDate>
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					<description><![CDATA[Divergence map from diffusion tensor imaging: Concepts and application to corpus callosum Engineering in Medicine and Biology Society (EMBC), 2016 This work proposes a novel approach to the analysis of Diffusion Tensor Imaging (DTI) by applying the mathematical concept of divergence, used in vector analysis. This is achieved by choosing an arbitrary direction of analysis...]]></description>
										<content:encoded><![CDATA[<h1><span style="color: #0fa2d5;">Divergence map from diffusion tensor imaging: Concepts and application to corpus callosum</span></h1>
<h6><span style="color: #999999;">Engineering in Medicine and Biology Society (EMBC), 2016</span></h6>
<p style="text-align: justify;">This work proposes a novel approach to the analysis of Diffusion Tensor Imaging (DTI) by applying the mathematical concept of divergence, used in vector analysis. This is achieved by choosing an arbitrary direction of analysis and using this direction to transform the diffusion tensor field into an oriented vector field. The method was inspired by the idea of imposing a liquid flow inside the biological tissues, oriented in the direction of analysis, and watching the direction it would be expected to take as it flows through the paths created by the fibers. The experiments were conducted for the particular case of the analysis of the corpus callosum, using real DTI from several subjects. Results showed that the divergence map allows extraction of useful information about the spatial organization of the corpus callosum, providing a way to determine a reference plane that could be used, for example, in studies involving intersubject comparison.</p>
<p>Full paper here: <a href="https://doi.org/10.1109/EMBC.2016.7590900">https://doi.org/10.1109/EMBC.2016.7590900</a></p>
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