DBP3:Utah:SlicerModuleCardiacRegistration

General Information

Module Type & Category

Type: CLI

Category: CARMA

Authors, Collaborators & Contact

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

User Interface

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)

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

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.