Difference between revisions of "DBP3:Utah:SlicerModuleInhomogeneity"

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__NOTOC__
 
__NOTOC__
===CARMA Inhomogeneity Correction Filter===
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===CMR Toolkit Inhomogeneity Correction Filter===
  
 
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<h3>General Information</h3>
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==General Information==
 
===Module Type & Category===
 
===Module Type & Category===
  
 
Type: CLI
 
Type: CLI
  
Category: CARMA
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Category: Cardiac MRI Toolkit
  
 
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==Module Description==
 
==Module Description==
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 an 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.
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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.
  
 
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* This module is meant to be used for MRI scans where local inhomogeneity has been detected
 
* This module is meant to be used for MRI scans where local inhomogeneity has been detected
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* [[Media:CARMA_Inhomogeneity_correction_filter_tutorial.pptx|CARMA Automatic Cardiac MRI Inhomogeneity Correction Filter Tutorial]]
  
 
===Quick Tour of Features and Use===
 
===Quick Tour of Features and Use===
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* Corrected Output : The output volume
 
* Corrected Output : The output volume
  
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== Development ==
 
== Development ==
  
===Known bugs===
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===Source Code & Documentation===
 
 
Follow this [http://na-mic.org/Mantis/main_page.php link] to the Slicer bug tracker.
 
 
 
===Usability issues===
 
 
 
Follow this [http://na-mic.org/Mantis/main_page.php link] to the Slicer bug tracker. Please select the '''usability issue category''' when browsing or contributing.
 
  
===Source code & documentation===
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The source code for this module can be found at the [https://github.com/carma-center/carma_slicer_extension/ GitHub repository].
 
 
Customize following [http://www.na-mic.org/ViewVC/index.cgi/ links] for your module.
 
 
 
[http://www.na-mic.org/Slicer/Documentation/Slicer3/html/ Links] to documentation generated by doxygen.
 
  
 
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== More Information ==
 
 
===Acknowledgment===
 
Include funding and other support here.
 
 
===References===
 
Publications related to this module go here. Links to pdfs would be useful.
 
 
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Latest revision as of 19:54, 29 July 2013

Home < DBP3:Utah:SlicerModuleInhomogeneity

CMR Toolkit Inhomogeneity Correction Filter

Inhomogeneity correction, original above, corrected below

Authors, Collaborators & Contact

  • CARMA Center, University of Utah: Alan Morris, Eugene Kholmovski, Josh Cates, Rob MacLeod

General Information

Module Type & Category

Type: CLI

Category: Cardiac MRI Toolkit

Module Description

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.

Usage

Examples, Use Cases & Tutorials

Quick Tour of Features and Use

The following are the inputs and outputs

  • MRI Image : Select the DE-MRI image
  • Blood Pool mask : Select the label map for the blood pool
  • ROI mask : Select the label map for the targeted region of interest
  • Corrected Output : The output volume

Development

Source Code & Documentation

The source code for this module can be found at the GitHub repository.