Difference between revisions of "DBP3:Utah:SlicerModuleInhomogeneity"
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__NOTOC__ | __NOTOC__ | ||
| − | === | + | ===CMR Toolkit Inhomogeneity Correction Filter=== |
{| | {| | ||
| − | |[[Image:carma_afib_inhomogeneity_correction.png|thumb|280px|Inhomogeneity | + | |[[Image:carma_afib_inhomogeneity_correction.png|thumb|280px|Inhomogeneity correction, original above, corrected below]] |
|} | |} | ||
| − | == General Information == | + | ==Authors, Collaborators & Contact== |
| + | * CARMA Center, University of Utah: Alan Morris, Eugene Kholmovski, Josh Cates, Rob MacLeod | ||
| + | |||
| + | <div style="margin: 20px;"> | ||
| + | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
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| + | ==General Information== | ||
===Module Type & Category=== | ===Module Type & Category=== | ||
Type: CLI | Type: CLI | ||
| − | Category: | + | Category: Cardiac MRI Toolkit |
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| + | </div> | ||
| + | |||
| + | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
| + | |||
| + | ==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. | ||
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== Usage == | == Usage == | ||
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===Examples, Use Cases & Tutorials=== | ===Examples, Use Cases & Tutorials=== | ||
| − | * | + | * 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]] |
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===Quick Tour of Features and Use=== | ===Quick Tour of Features and Use=== | ||
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| − | + | 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 | ||
| − | + | </div> | |
| + | </div> | ||
| − | == | + | <div style="margin: 20px;"> |
| + | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
| − | + | == Development == | |
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| − | === | ||
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| + | ===Source Code & Documentation=== | ||
| − | + | The source code for this module can be found at the [https://github.com/carma-center/carma_slicer_extension/ GitHub repository]. | |
| − | + | </div> | |
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| − | = | + | <div style="width: 27%; float: left; padding-right: 3%;"> |
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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.
