Documentation/Nightly/Modules/SlicerModuleConnectedThreshold - Revision history

Sbengali at 02:44, 12 August 2015

2015-08-12T02:44:41Z

Sbengali at 19:52, 30 July 2013

2013-07-30T19:52:59Z

UpdateBot: Prepend documentation/versioncheck template. See http://na-mic.org/Mantis/view.php?id=2887

2013-06-14T08:04:49Z

Prepend documentation/versioncheck template. See http://na-mic.org/Mantis/view.php?id=2887

Sbengali at 17:42, 24 May 2013

2013-05-24T17:42:20Z

Sbengali: Changed logo

2013-05-24T17:23:48Z

Changed logo

Sbengali at 21:57, 20 February 2013

2013-02-20T21:57:47Z

Sbengali at 21:55, 20 February 2013

2013-02-20T21:55:58Z

Sbengali at 19:22, 20 February 2013

2013-02-20T19:22:59Z

Sbengali: created new module page

2013-02-20T19:15:18Z

created new module page

New page

{{documentation/{{documentation/version}}/module-header}}



{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
{{documentation/{{documentation/version}}/module-introduction-row}}
Author: Salma Bengali, CARMA Center, University of Utah<br>
Contributors: Alan Morris, Josh Cates, Rob MacLeod, CARMA Center, University of Utah<br>
Contacts: Salma Bengali: <email>salma.bengali@carma.utah.edu</email> <br>
{{documentation/{{documentation/version}}/module-introduction-row}}
{|
[[Image:Carma_UofU_logo.jpg|thumb|center|280px]]
|}
{{documentation/{{documentation/version}}/module-introduction-end}}


{{documentation/{{documentation/version}}/module-section|Module Description}}
This module uses a single seed point to segment an image. The seed point (fiducial) is placed within the region to be segmented. The upper and lower thresholds are entered by the user. The segmented region will contain pixels that are connected to this seed, and lie in between this range. Multiple seed points can be used.



{{documentation/{{documentation/version}}/module-section|Use Cases}}
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.
{|
|[[Image:connectedThreshold.jpg|thumb|280px|Left:Segmented Image, Center: Original Gated MRA Image]]
|}


{{documentation/{{documentation/version}}/module-section|Tutorials}}
N/A


{{documentation/{{documentation/version}}/module-section|Panels and their use}}
* Input image
* Output image
* Lower threshold
* Upper threshold
* Seed/s: User placed fiducial/s inside the region to be segmented



{{documentation/{{documentation/version}}/module-section|Similar Modules}}
N/A


{{documentation/{{documentation/version}}/module-section|References}}
N/A


{{documentation/{{documentation/version}}/module-section|Information for Developers}}
The source code for this module can be found at the [https://github.com/carma-center/carma_slicer_extension/ CARMA GitHub repository].


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 Contacts: Salma Bengali: <email>salma.bengali@carma.utah.edu</email> <br>
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+|{{collaborator|logo|uofu}}|{{collaborator|longname|uofu}}
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 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.
 {|
-|[[Image:connectedThreshold.jpg|thumb|400px|Left:Segmented Image, Center: Original Gated MRA Image]]
+|[[Image:connectedThreshold.jpg|thumb|400px|Bottom Left:Segmentation overlaid on LGE-MRI image, Center: Segmentation output]]
 |}

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 {{documentation/{{documentation/version}}/module-introduction-row}}
-Author: Salma Bengali, CARMA Center, University of Utah<br>
+Author: Umme Salma Bengali, CARMA Center, University of Utah<br>
 Contributors: Alan Morris, Josh Cates, Rob MacLeod, CARMA Center, University of Utah<br>
-Contacts: Salma Bengali: <email>salma.bengali@carma.utah.edu</email> <br>
+Contacts: Umme Salma Bengali: <email>salma.bengali@carma.utah.edu</email> <br>
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-[[Media:Carma_Connected_Threshold_Filter_Tutorial.pptx|CARMA Connected Threshold Filter Tutorial]]
+[[Media:Carma_Connected_Threshold_Filter_Tutorial.pptx|Connected Threshold Filter Tutorial]]
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