Modules:MergeModels-Documentation-3.6

From Slicer Wiki
Revision as of 01:17, 29 April 2010 by Nicole (talk | contribs) (Created page with 'Return to Slicer 3.6 Documentation Gallery of New Features __NOTOC__ ===Merge Models=== MergeModels {| |[[Image:Me…')
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search
Home < Modules:MergeModels-Documentation-3.6

Return to Slicer 3.6 Documentation

Gallery of New Features


Merge Models

MergeModels

Merge Models GUI
Merge Models output, the sphere and cube are combined in one model.

General Information

Module Type & Category

Type: CLI

Category: Surface Models

Authors, Collaborators & Contact

  • Author1: Nicole Aucoin, BWH
  • Contributor1: Daniel Haehn
  • Contact: Nicole Aucoin, nicole@bwh.harvard.edu

Module Description

This module merges two models together. It uses the vtkAppendPolyData filter.

Usage

Use Cases, Examples

This module is especially appropriate for these use cases:

  • to combine two models into one

Examples of the module in use:

  • after creating two models from a segmented volume, you can use this module to combine them into one

Tutorials

Quick Tour of Features and Use

  • IO:
    • Model 1: input surface model 1
    • Model 2: input surface model 2
    • Output Model: the result of adding Model 1 and Model 2
Merge Models GUI

Development

Notes from the Developer(s)

Coded up in C++ by Nicole Aucoin after Daniel Haehn posted a python version to the slicer-users mailing ilst.

Dependencies

No other modules or packages are required for this module's use. The Models module can be used to set the color on the output model.

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:

Doxygen documentation:

More Information

Acknowledgment

This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149.

References

Slicer Users mailing list post from Daniel