Difference between revisions of "DBP3:Utah:SlicerModuleCardiacRegistration"

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__NOTOC__
 
__NOTOC__
 
===CARMA Cardiac Registration Module===
 
===CARMA Cardiac Registration Module===
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{|
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|[[Image:carma registration screenshot.jpg|thumb|280px|User Interface]]
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|}
  
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==Authors, Collaborators & Contact==
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* CARMA Center, University of Utah: Alan Morris, Greg Gardner, Salma Bengali, Josh Cates, Rob MacLeod
  
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<div style="margin: 20px;">
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<div style="width: 27%; float: left; padding-right: 3%;">
  
 
== General Information ==
 
== General Information ==
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Category: CARMA
 
Category: CARMA
  
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===Authors, Collaborators & Contact===
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</div>
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* Alan Morris: CARMA Center, University of Utah
 
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* Greg Gardner: CARMA Center, University of Utah
 
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* Salma Bengali: CARMA Center, University of Utah
 
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* Josh Cates: CARMA Center, University of Utah
 
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* Rob MacLeod: CARMA Center, University of Utah
 
  
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[[File:carma registration screenshot.jpg|right|thumb|300px|alt=User Interface.|User Interface]]
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<div style="width: 27%; float: left; padding-right: 3%;">
  
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===Module Description===
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==Module Description==
 
This module implements case-specific registration for cardiac LGE-MRI, MRA and CT images.  The inputs to this module are two image volumes.  Image volume one is the fixed volume and image volume two is the moving volume. The goal of registration is to find a spatial mapping that will align the moving volume with the fixed volume. The user selects the imaging modalities based on the types of input image volumes. Registration parameters are tuned for the cases listed [[DBP3:Utah:RegCases|registration case]]. Input image volumes that are cropped to the area around the left atrium can be used as well, which would improve the final registration result. Advanced registration parameters can be changed to check if the registration result shows improvement.  
 
This module implements case-specific registration for cardiac LGE-MRI, MRA and CT images.  The inputs to this module are two image volumes.  Image volume one is the fixed volume and image volume two is the moving volume. The goal of registration is to find a spatial mapping that will align the moving volume with the fixed volume. The user selects the imaging modalities based on the types of input image volumes. Registration parameters are tuned for the cases listed [[DBP3:Utah:RegCases|registration case]]. Input image volumes that are cropped to the area around the left atrium can be used as well, which would improve the final registration result. Advanced registration parameters can be changed to check if the registration result shows improvement.  
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</div>
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== Usage ==
 
== Usage ==
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* Output Image Volume : The registration result
 
* Output Image Volume : The registration result
 
* Imaging modality: The types of image volumes that are being registered (e.g LGE-MRI, MRA, CT, Acute Scar)
 
* Imaging modality: The types of image volumes that are being registered (e.g LGE-MRI, MRA, CT, Acute Scar)
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</div>
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</div>
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<div style="margin: 20px;">
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<div style="width: 27%; float: left; padding-right: 3%;">
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== Development ==
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===Known bugs===
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Follow this [http://na-mic.org/Mantis/main_page.php link] to the Slicer bug tracker.
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===Usability issues===
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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.
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===Source code & documentation===
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Customize following [http://www.na-mic.org/ViewVC/index.cgi/ links] for your module.
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[http://www.na-mic.org/Slicer/Documentation/Slicer3/html/ Links] to documentation generated by doxygen.
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== More Information ==  
 
== More Information ==  
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===References===
 
===References===
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</div>
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</div>

Revision as of 22:13, 15 November 2012

Home < DBP3:Utah:SlicerModuleCardiacRegistration

CARMA Cardiac Registration Module

User Interface

Authors, Collaborators & Contact

  • CARMA Center, University of Utah: Alan Morris, Greg Gardner, Salma Bengali, Josh Cates, Rob MacLeod

General Information

Module Type & Category

Type: CLI

Category: CARMA

Module Description

This module implements case-specific registration for cardiac LGE-MRI, MRA and CT images. The inputs to this module are two image volumes. Image volume one is the fixed volume and image volume two is the moving volume. The goal of registration is to find a spatial mapping that will align the moving volume with the fixed volume. The user selects the imaging modalities based on the types of input image volumes. Registration parameters are tuned for the cases listed registration case. Input image volumes that are cropped to the area around the left atrium can be used as well, which would improve the final registration result. Advanced registration parameters can be changed to check if the registration result shows improvement.

Usage

Examples, Use Cases & Tutorials

  • This module is meant to be used for cardiac LGE-MRI, MRA and CT scans acquired at different time points or across different patients.

Quick Tour of Features and Use

The following are the inputs and outputs

  • Image Volume One (Fixed): Select the LGE-MRI, MRA or CT Image
  • Image Volume Two (Moving): Select the LGE-MRI or MRA image
  • Output Image Volume : The registration result
  • Imaging modality: The types of image volumes that are being registered (e.g LGE-MRI, MRA, CT, Acute Scar)

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

Advanced Registration Parameters:

  • Registration Type
  • Metric Type
  • Initialization Type
  • Interpolation Type
  • Maximum Number of Iterations
  • Sampling Ratio
  • Sample from Fixed/Moving Image Overlap

The details about the advanced registration parameters can be found at http://www.slicer.org/slicerWiki/index.php/Modules:RegisterImages-Documentation-3.6.

Tutorial

Media:Carma_Registration_Tutorial.pptx

The images in this dataset http://hdl.handle.net/1926/1765 can be used as inputs to the module. It contains anonymized LGE-MRI, MRA and CT images.

Acknowledgment

References

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