Documentation/4.0/Modules/RobustStatisticsSegmenter - Revision history

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

2013-06-14T07:31:58Z

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

2012-07-16T11:15:48Z

2012-02-02T10:29:35Z

2012-02-02T10:28:11Z

2011-11-24T15:55:08Z

use case 2, 3, 4 for kidneys and lung

2011-11-24T14:19:09Z

2011-11-24T14:02:55Z

right kidney CT image use case

2011-11-24T12:16:08Z

meningioma use case

2011-11-23T20:32:17Z

change the panel to slicer 4 version

2011-11-23T18:59:57Z

Module Description

← Older revision		Revision as of 07:31, 14 June 2013
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 {{documentation/{{documentation/version}}/module-section|References}}
-Y. Gao, A. Tannenbaum, R. Kikinis, ''Simultaneous Multi-Object Segmentation using Local Robust Statistics and Contour Interaction'', MICCAI 2010, Medical Computer Vision, Workshop on [[File:Rss.pdf|pdf]]
+Yi Gao, Ron Kikinis, Sylvain Bouix, Martha Shenton, Allen Tannenbaum, ''A 3D Interactive Multi-object Segmentation Tool using Local Robust Statistics Driven Active Contours'', Medical Image Analysis, 2012, http://dx.doi.org/10.1016/j.media.2012.06.002
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 {{documentation/{{documentation/version}}/module-section|Similar Modules}}
-*[[Documentation/4.0/Modules/Simple Region Growing|Simple Region Growing]]
+*[[Documentation/4.0/Modules/SimpleRegionGrowingSegmentation|Simple Region Growing Segmentation]]
 * GrowCut in the editor module

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 {{documentation/{{documentation/version}}/module-section|Module Description}}
-{{documentation/{{documentation/version}}/module-description|xmlurl={{documentation/{{documentation/version}}/module-cli-xmlurl|{{documentation/modulename}}|17740}} }}
+{{documentation/{{documentation/version}}/module-description}}
 This module is a general purpose segmenter. The target object is initialized by a label map. An active contour model then evolves to extract the desired boundary of the object.
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-{{documentation/{{documentation/version}}/module-developerinfo|{{documentation/modulename}}|type=CLI|category=
+{{documentation/{{documentation/version}}/module-developerinfo}}
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 <gallery>
 Image:KidneyLeftCTRSS.png| RSS segments left kidney from CT image
 </gallery>

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 *** Intensity homogeneity: 0.5
 *** Boundary smoothness: 0.5
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 {{documentation/{{documentation/version}}/module-section|Module Description}}
 {{documentation/{{documentation/version}}/module-description|xmlurl={{documentation/{{documentation/version}}/module-cli-xmlurl|{{documentation/modulename}}|17740}} }}
-This module is an interactive segmentation tool. The user gives some initial seeds and the algorithm takes over to provide a 3D segmentation.
+This module is a general purpose segmenter. The target object is initialized by a label map. An active contour model then evolves to extract the desired boundary of the object.
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 Most frequently used for these scenarios:
-* Use Case 1:
+* '''Use Case 1, meningioma''':
+** Segment meningioma from MRI
 <gallery>
-Image:RSSPanelSlicer4.png|RSS module panel
+Image:MeningiomaCase1RSSLabel.png|Drawn some seeds in the editor module
-Image:RssVentricle.png|RSS result for Brain MR image
+Image:MeningiomaRSSPanel.png|Set up in RSS module panel, and run
 Image:MeningiomaCase1.png|RSS results for extracting meningioma
 </gallery>
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 <gallery>
-Image:RssPanel.png|RSS module panel
+Image:RSSPanelSlicer4.png|RSS module panel
 Image:RssVentricle.png|RSS result for Brain MR image
 Image:MeningiomaCase1.png|RSS results for extracting meningioma
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 ** '''Label Image:''' The label map providing initial seeds.
 * '''Output Volume:''' The output volumetric image.
-|[[Image:RssPanel.png|thumb|280px|User Interface]]
+|[[Image:RSSPanelSlicer4.png|thumb|280px|User Interface]]
 |}