Difference between revisions of "DBP3:Utah:SlicerModuleInhomogeneity"
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* Josh Cates: CARMA Center, University of Utah | * Josh Cates: CARMA Center, University of Utah | ||
* Danny Perry: CARMA Center, University of Utah | * Danny Perry: CARMA Center, University of Utah | ||
− | * Rob | + | * Rob MacLeod: CARMA Center, University of Utah |
===Module Description=== | ===Module Description=== |
Revision as of 21:59, 25 April 2012
Home < DBP3:Utah:SlicerModuleInhomogeneityCARMA Inhomogeneity Correction Filter
General Information
Module Type & Category
Type: CLI
Category: CARMA
Authors, Collaborators & Contact
- Alan Morris: CARMA Center, University of Utah
- Eugene Kholmovski: CARMA Center, University of Utah
- Josh Cates: CARMA Center, University of Utah
- Danny Perry: CARMA Center, University of Utah
- Rob MacLeod: CARMA Center, University of Utah
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.
Usage
Examples, Use Cases & Tutorials
- This module is meant to be used for MRI scans where local inhomogeneity has been detected
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
Known bugs
Follow this link to the Slicer bug tracker.
Usability issues
Follow this link to the Slicer bug tracker. Please select the usability issue category when browsing or contributing.
Source code & documentation
Customize following links for your module.
Links to documentation generated by doxygen.
More Information
Acknowledgment
Include funding and other support here.
References
Publications related to this module go here. Links to pdfs would be useful.