Difference between revisions of "DBP3:Utah:SlicerModuleCardiacRegistration"

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__NOTOC__
 
__NOTOC__
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===CARMA Inhomogeneity Correction Filter===
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===CMR Toolkit Cardiac Registration===
  
 
{|
 
{|
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|[[Image:carma registration screenshot.jpg|thumb|280px|User Interface]]
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|[[Image:Cardiac_mri_registration_module.jpg|thumb|280px|(L to R) Registered image, fixed image, and moving image]]
 
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==Authors, Collaborators & Contact==
 
==Authors, Collaborators & Contact==
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* CARMA Center, University of Utah: Alan Morris, Eugene Kholmovski, Josh Cates, Rob MacLeod
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* CARMA Center, University of Utah: Alan Morris, Greg Gardner, Salma Bengali, Josh Cates, Rob MacLeod
  
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Type: CLI
 
Type: CLI
  
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Category: CARMA
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Category: Cardiac MRI Toolkit
  
 
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==Module Description==
 
==Module Description==
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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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This module implements case-specific registration for cardiac LGE-MRI, MRA and CT images acquired at different time points or across different patients. The types of registration scenarios are described [[DBP3:Utah:RegCases|here]]. 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 registration cases. 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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===Examples, Use Cases & Tutorials===
 
===Examples, Use Cases & Tutorials===
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[[Media:Carma_Registration_Tutorial.pptx|CARMA Registration Tutorial]]
  
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* This module is meant to be used for cardiac LGE-MRI, MRA and CT scans acquired at different time points or across different patients.
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The image volumes in this dataset: [http://hdl.handle.net/1926/1765 CARMA Registration Tutorial Data] can be used as inputs to the module. The dataset contains anonymized LGE-MRI, MRA and CT images.
  
 
===Quick Tour of Features and Use===
 
===Quick Tour of Features and Use===
  
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The following are the inputs and outputs
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The following are the inputs and outputs:
  
 
* Image Volume One (Fixed): Select the LGE-MRI, MRA or CT Image
 
* Image Volume One (Fixed): Select the LGE-MRI, MRA or CT Image
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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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===Advanced Registration Parameters===
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The advanced registration parameters are:
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* Registration Type
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* Metric Type
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* Initialization Type
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* Interpolation Type
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* Maximum Number of Iterations
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* Sampling Ratio
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* Sample from Fixed/Moving Image Overlap
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The details about the advanced registration parameters can be found at https://www.slicer.org/wiki/Modules:RegisterImages-Documentation-3.6.
  
 
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== Development ==
 
== Development ==
  
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===Known bugs===
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===Source code & documentation===
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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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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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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 ==
 
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===Advanced Registration Parameters===
 
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* Registration Type
 
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* Metric Type
 
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* Initialization Type
 
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* Interpolation Type
 
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* Maximum Number of Iterations
 
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* Sampling Ratio
 
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* Sample from Fixed/Moving Image Overlap
 
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The details about the advanced registration parameters can be found at http://www.slicer.org/slicerWiki/index.php/Modules:RegisterImages-Documentation-3.6.
 
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===Tutorial===
 
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[[Media:Carma_Registration_Tutorial.pptx]]
 
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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.
 
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Latest revision as of 17:08, 10 July 2017

Home < DBP3:Utah:SlicerModuleCardiacRegistration

CMR Toolkit Cardiac Registration

(L to R) Registered image, fixed image, and moving image

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: Cardiac MRI Toolkit

Module Description

This module implements case-specific registration for cardiac LGE-MRI, MRA and CT images acquired at different time points or across different patients. The types of registration scenarios are described here. 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 registration cases. 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

CARMA Registration Tutorial

The image volumes in this dataset: CARMA Registration Tutorial Data can be used as inputs to the module. The dataset contains anonymized LGE-MRI, MRA and CT images.

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)

Advanced Registration Parameters

The advanced registration parameters are:

  • 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 https://www.slicer.org/wiki/Modules:RegisterImages-Documentation-3.6.

Development

Source code & documentation

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


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