Difference between revisions of "DBP3:Utah:SlicerModuleIsolatedConnected"

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__NOTOC__
 
__NOTOC__
===CARMA Isolated Connected Image Filter===
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===CMR Toolkit Isolated Connected Image Filter===
  
 
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Type: CLI
 
Type: CLI
  
Category: CARMA
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Category: Cardiac MRI Toolkit
  
 
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==Module Description==
 
==Module Description==
This module uses two seed points to segment an image. One seed point (fiducial) is placed within the region to be segmented, and the other is placed outside that region. The lower threshold is given as an input by the user. The isolated connected image filter will find the isolating upper threshold. If no isolating threshold can be found then the segmentation will fail.
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This module uses two seed points to segment an image. One seed point (fiducial) is placed within the region to be segmented, and the other is placed outside that region. Multiple seed points can be used as well. The lower threshold is given as an input by the user. The isolated connected image filter will find the isolating upper threshold. If no isolating threshold can be found then the segmentation will fail.
 
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* Output image
 
* Output image
 
* Lower threshold
 
* Lower threshold
* Seed1: User placed fiducial inside the region to be segmented  
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* Seed1: User placed fiducial/s inside the region to be segmented  
* Seed2: User placed fiducial outside the region to be segmented
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* Seed2: User placed fiducial/s outside the region to be segmented
  
 
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Latest revision as of 19:55, 29 July 2013

Home < DBP3:Utah:SlicerModuleIsolatedConnected

CMR Toolkit Isolated Connected Image Filter

Left:Segmented Image, Center: Original Gated MRA Image

Authors, Collaborators & Contact

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

General Information

Module Type & Category

Type: CLI

Category: Cardiac MRI Toolkit

Module Description

This module uses two seed points to segment an image. One seed point (fiducial) is placed within the region to be segmented, and the other is placed outside that region. Multiple seed points can be used as well. The lower threshold is given as an input by the user. The isolated connected image filter will find the isolating upper threshold. If no isolating threshold can be found then the segmentation will fail.

Usage

Examples, Use Cases & Tutorials

  • This module is meant to be used for segmenting the entire endocardium region from a cardiac MRI or MRA image. It can also be used for segmentation of structures in other types of images.

Quick Tour of Features and Use

The following are the inputs and outputs

  • Input image
  • Output image
  • Lower threshold
  • Seed1: User placed fiducial/s inside the region to be segmented
  • Seed2: User placed fiducial/s outside the region to be segmented

Development

Source code & documentation

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