Difference between revisions of "DBP3:Utah:SlicerModuleInhomogeneity"
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__NOTOC__ | __NOTOC__ | ||
− | === | + | ===CMR Toolkit Inhomogeneity Correction Filter=== |
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Type: CLI | Type: CLI | ||
− | Category: | + | 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 | + | 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 | ||
+ | * [[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 == | ||
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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]. | |
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Latest revision as of 19:54, 29 July 2013
Home < DBP3:Utah:SlicerModuleInhomogeneityCMR Toolkit Inhomogeneity Correction Filter
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
- This module is meant to be used for MRI scans where local inhomogeneity has been detected
- CARMA Automatic Cardiac MRI Inhomogeneity Correction Filter Tutorial
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.