Difference between revisions of "Modules:RegistrationMetrics-Documentation-3.6"

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===Module Description===
 
===Module Description===
Overview of what the module does goes here.
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This module is capable of calculating the 95% Hausdorff distance (HD) and the Dice Similarity Coefficient (DSC) between two label map images. If the two label map images represent registered segmented structures then the 95% HD and DSC will provide a measure of contour and volumetric alignment between the images. The HD is the maximum distance of a set to the nearest point in another set and gives a measure of contour alignment between structures. The DSC gives a measure of the volumetric overlap between the two segmented structures, and indicates twice the number of voxels which are shared by or are common to both structures divided by the total number of non-zero voxels in both structures. The DSC can range from zero to one, where zero is no alignment between images and one is perfect alignment. These two metrics are explained more formally in papers presented in the References section.
  
 
== Usage ==
 
== Usage ==

Revision as of 18:03, 27 April 2010

Home < Modules:RegistrationMetrics-Documentation-3.6

Return to Slicer 3.6 Documentation

Gallery of New Features


Registration Metrics

Screen shot of Registration Metrics module showing an axial slice with a color map representing alignment error between the two label map images
Screen shot of panel for Registration Metrics Module

General Information

Module Type & Category

Type: CLI

Category: Registration

Authors, Collaborators & Contact

  • Haytham Elhawary: Brigham and Women's Hospital, SPL
  • Sota Oguro: Brigham and Women's Hospital, SPL
  • Nobuhiko Hata: Brigham and Women's Hospital, SPL
  • Contact: Nobuhiko Hata, hata [at] bwh.harvard.edu or Haytham Elhawary, elhawary [at] bwh.harvard.edu

Module Description

This module is capable of calculating the 95% Hausdorff distance (HD) and the Dice Similarity Coefficient (DSC) between two label map images. If the two label map images represent registered segmented structures then the 95% HD and DSC will provide a measure of contour and volumetric alignment between the images. The HD is the maximum distance of a set to the nearest point in another set and gives a measure of contour alignment between structures. The DSC gives a measure of the volumetric overlap between the two segmented structures, and indicates twice the number of voxels which are shared by or are common to both structures divided by the total number of non-zero voxels in both structures. The DSC can range from zero to one, where zero is no alignment between images and one is perfect alignment. These two metrics are explained more formally in papers presented in the References section.

Usage

Use Cases, Examples

This module is especially appropriate for these use cases:

  • Use Case 1:
  • Use Case 2:

Examples of the module in use:

  • Example 1
  • Example 2

Tutorials

Links to tutorials explaining how to use this module:

  • Tutorial 1
    • Data Set 1

Quick Tour of Features and Use

A list panels in the interface, their features, what they mean, and how to use them. For instance:

  • Input panel:
    • First input
    • Second input
  • Parameters panel:
    • First parameter
    • Second parameter
  • Output panel:
    • First output
    • Second output
  • Viewing panel:
User Interface

Development

Notes from the Developer(s)

Algorithms used, library classes depended upon, use cases, etc.

Dependencies

Other modules or packages that are required for this module's use.

Tests

On the Dashboard, these tests verify that the module is working on various platforms:

Known bugs

Links to known bugs in the Slicer3 bug tracker


Usability issues

Follow this link to the Slicer3 bug tracker. Please select the usability issue category when browsing or contributing.

Source code & documentation

Links to the module's source code:

Source code:

Doxygen documentation:

More Information

Acknowledgment

Include funding and other support here.

References

Publications related to this module go here. Links to pdfs would be useful.