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	<title>Documentation/4.4/Modules/SlicerModuleInhomogeneity - Revision history</title>
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	<updated>2026-05-04T17:15:58Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.slicer.org/w/index.php?title=Documentation/4.4/Modules/SlicerModuleInhomogeneity&amp;diff=40060&amp;oldid=prev</id>
		<title>UpdateBot: Nightly -&gt; 4.4</title>
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		<updated>2014-12-24T19:59:05Z</updated>

		<summary type="html">&lt;p&gt;Nightly -&amp;gt; 4.4&lt;/p&gt;
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{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}&lt;br /&gt;
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{{documentation/{{documentation/version}}/module-introduction-row}}&lt;br /&gt;
Author: Alan Morris, CARMA Center, University of Utah&amp;lt;br&amp;gt;&lt;br /&gt;
Contributors: Josh Cates, Rob MacLeod, Eugene Kholmovski, CARMA Center, University of Utah&amp;lt;br&amp;gt;	&lt;br /&gt;
Contact: Alan Morris: &amp;lt;email&amp;gt;alan.morris@carma.utah.edu&amp;lt;/email&amp;gt; &amp;lt;br&amp;gt;&lt;br /&gt;
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{{documentation/{{documentation/version}}/module-section|Module Description}}&lt;br /&gt;
This module implements a local intensity correction for inhomogeneities due to coil placement in cardiac LGE-MRI images.  It fits a gradient function to the image data and normalizes accordingly.  Note that this is not a whole image correction and it is specific to LGE MRI cardiac images.  The input to this module is a segmented region on which to base the intensity gradient model and a segmentation of the region of interest to apply the correction.  There are no parameters.&lt;br /&gt;
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This module is meant to be used for MRI scans where local inhomogeneity has been detected.&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:carma_afib_inhomogeneity_correction.png|thumb|400px|Inhomogeneity correction, original above, corrected below]]&lt;br /&gt;
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[[Media:CARMA_Inhomogenity_Correction_Tutorial.pptx‎|Automatic Cardiac MRI Inhomogeneity Correction Filter Tutorial]]&lt;br /&gt;
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* MRI Image : Select the DE-MRI image&lt;br /&gt;
* Blood Pool mask : Select the label map for the blood pool&lt;br /&gt;
* ROI mask : Select the label map for the targeted region of interest&lt;br /&gt;
* Corrected Output : The output volume&lt;br /&gt;
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The source code for this module can be found at the [https://github.com/carma-center/carma_slicer_extension/ CARMA GitHub repository].&lt;br /&gt;
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