Documentation/Nightly/Extensions/BoneTextureExtesion - Revision history

Jb.vimort at 15:12, 7 July 2017

2017-07-07T15:12:56Z

Jb.vimort at 15:11, 7 July 2017

2017-07-07T15:11:40Z

Jb.vimort at 17:30, 6 July 2017

2017-07-06T17:30:21Z

Jb.vimort at 17:29, 6 July 2017

2017-07-06T17:29:34Z

Jb.vimort at 17:28, 6 July 2017

2017-07-06T17:28:46Z

Jb.vimort at 17:18, 6 July 2017

2017-07-06T17:18:23Z

Jb.vimort at 17:16, 6 July 2017

2017-07-06T17:16:25Z

Jb.vimort at 15:14, 6 July 2017

2017-07-06T15:14:10Z

Jb.vimort at 14:12, 6 July 2017

2017-07-06T14:12:28Z

Jb.vimort at 19:15, 5 July 2017

2017-07-05T19:15:42Z

@@ Line 28: / Line 28: @@
 ** 8 co-occurrence textural features: energy, entropy, correlation, inverse difference moment, inertia, cluster shade, cluster prominence and Haralick correlation
 ** 10 run length textural features: short run emphasis, long run emphasis, grey level non uniformity, run length non uniformity, low grey level run emphasis, high grey level run emphasis, short run low grey level emphasis, short run high grey level emphasis, long run low grey level emphasis and long run high grey level emphasis.
-* Input configurable parameters: locality of the texture, offset directions for co-occurrence and run length computation, the number of bins for the intensity histograms, and the intensity range or the range of run lengths."
+* Input configurable parameters: locality of the texture, offset directions for co-occurrence and run length computation, the number of bins for the intensity histograms, and the intensity range or the range of run lengths.
 |}

@@ Line 21: / Line 21: @@
 |[[Image:Logo-BoneTextureExtension.png|250px]]
+|
-This extensions contain several modules that can be used to compute feature maps of N-Dimensional images using two well-known texture analysis methods: the study of Grey Level Co-occurrence Matrix (GLCM) and the study of Grey Level Run Length Matrix (GLRLM). The main algorithms used in this extension are part of a remote module of ITK called [http://www.insight-journal.org/browse/publication/985 itkTextureFeatures]
+This extensions contain several modules that can be used to compute feature maps of N-Dimensional images using two well-known texture analysis methods: the study of Grey Level Co-occurrence Matrix (GLCM) and the study of Grey Level Run Length Matrix (GLRLM). The main algorithms used in this extension are part of a remote module of insight toolkit (ITK) called [http://www.insight-journal.org/browse/publication/985 itkTextureFeatures]
 Key Features:
@@ Line 28: / Line 28: @@
 ** 8 co-occurrence textural features: energy, entropy, correlation, inverse difference moment, inertia, cluster shade, cluster prominence and Haralick correlation
 ** 10 run length textural features: short run emphasis, long run emphasis, grey level non uniformity, run length non uniformity, low grey level run emphasis, high grey level run emphasis, short run low grey level emphasis, short run high grey level emphasis, long run low grey level emphasis and long run high grey level emphasis.
-* Input configurable parameters: locality of the texture, offset directions for co-occurrence and run length computation, the number of bins for the intensity histograms, and the intensity range or the range of run lengths.")
+* Input configurable parameters: locality of the texture, offset directions for co-occurrence and run length computation, the number of bins for the intensity histograms, and the intensity range or the range of run lengths."
 |}

@@ Line 47: / Line 47: @@
 ==Texture features==
 {|
-|[[Image:TextureFeaturesTab.png|thumb|400px|Texture feature result table]]
+|[[Image:TextureFeaturesTab.png|thumb|600px|Texture feature result table]]
 |}

@@ Line 42: / Line 42: @@
 {|
 |[[Image:Scan.eps|thumb|400px|Input scan]]
-|[[Image:CondileMask.eps|thumb|400px|Input mask]]
+|[[Image:CondileMask.eps|thumb|345px|Input mask]]
 |}

@@ Line 42: / Line 42: @@
 {|
 |[[Image:Scan.eps|thumb|400px|Input scan]]
-|[[Image:Mask.eps|thumb|400px|Input mask]]
+|[[Image:CondileMask.eps|thumb|400px|Input mask]]
 |}

@@ Line 68: / Line 68: @@
 ===Run Length texture feature maps===
 {|
-|[[Image:ShortRunEmphasis.eps|thumb|400px|Short run emphasis]]
+|[[Image:ShortRunEmphasis.eps|thumb|200px|Short run emphasis]]
-|[[Image:LongRunEmphasis.eps|thumb|400px|Long run emphasis]]
+|[[Image:LongRunEmphasis.eps|thumb|200px|Long run emphasis]]
-|[[Image:GreyLevelnonUniformity.eps|thumb|400px|Grey level non uniformity]]
+|[[Image:GreyLevelnonUniformity.eps|thumb|200px|Grey level non uniformity]]
-|[[Image:RunLengthnonUniformity.eps|thumb|400px|Run length non uniformity]]
+|[[Image:RunLengthnonUniformity.eps|thumb|200px|Run length non uniformity]]
-|[[Image:LowGreyLevelRunEmphasis.eps|thumb|400px|Low grey level run emphasis]]
+|[[Image:LowGreyLevelRunEmphasis.eps|thumb|200px|Low grey level run emphasis]]
 |}
 {|
-|[[Image:HighGreyLevelRunEmphasis.eps|thumb|400px|High grey level run emphasis]]
+|[[Image:HighGreyLevelRunEmphasis.eps|thumb|200px|High grey level run emphasis]]
-|[[Image:ShortRunLowGreyLevelEmphasis.eps|thumb|400px|Short run low grey level emphasis]]
+|[[Image:ShortRunLowGreyLevelEmphasis.eps|thumb|200px|Short run low grey level emphasis]]
-|[[Image:ShortRunHighGreyLevelEmphasis.eps|thumb|400px|Short run high grey level emphasis]]
+|[[Image:ShortRunHighGreyLevelEmphasis.eps|thumb|200px|Short run high grey level emphasis]]
-|[[Image:LongRunLowGreyLevelEmphasis.eps|thumb|400px|Long run low grey level emphasis]]
+|[[Image:LongRunLowGreyLevelEmphasis.eps|thumb|200px|Long run low grey level emphasis]]
-|[[Image:LongRunHighGreyLevelEmphasis.eps|thumb|400px|Long run high grey level emphasis]]
+|[[Image:LongRunHighGreyLevelEmphasis.eps|thumb|200px|Long run high grey level emphasis]]
 |}

← Older revision		Revision as of 17:16, 6 July 2017
Line 30:		Line 30:
	* Input configurable parameters: locality of the texture, offset directions for co-occurrence and run length computation, the number of bins for the intensity histograms, and the intensity range or the range of run lengths.")		* Input configurable parameters: locality of the texture, offset directions for co-occurrence and run length computation, the number of bins for the intensity histograms, and the intensity range or the range of run lengths.")
	\|}		\|}
		+
		+	<!-- ---------------------------- -->
		+	{{documentation/{{documentation/version}}/module-section\|Usage}}
		+
		+	==Main modules interface==
		+	{\|
		+	\|[[Image:BoneTexture-Interface.png\|thumb\|400px\|BoneTexture User Interface]]
		+	\|[[Image:BoneTextureSerializer-Interface.png\|thumb\|400px\|BoneTextureSerializer User Interface]]
		+	\|}
		+	==Input example==
		+	{\|
		+	\|[[Image:Scan.eps\|thumb\|400px\|Input scan]]
		+	\|[[Image:Mask.eps\|thumb\|400px\|Input mask]]
		+	\|}
		+
		+	==Texture features==
		+	{\|
		+	\|[[Image:TextureFeaturesTab.png\|thumb\|400px\|Texture feature result table]]
		+	\|}
		+
		+	==Texture feature maps==
		+
		+	===Co-occurrence texture feature maps===
		+	{\|
		+	\|[[Image:Energy.eps\|thumb\|200px\|Energy]]
		+	\|[[Image:Entropy.eps\|thumb\|200px\|Entropy]]
		+	\|[[Image:Correlation.eps\|thumb\|200px\|Correlation]]
		+	\|[[Image:InverseDifferenceMoment.eps\|thumb\|200px\|Inverse difference moment]]
		+	\|}
		+	{\|
		+	\|[[Image:Inertia.eps\|thumb\|200px\|Inertia]]
		+	\|[[Image:ClusterShade.eps\|thumb\|200px\|Cluster shade]]
		+	\|[[Image:ClusterProminence.eps\|thumb\|200px\|Cluster prominence]]
		+	\|[[Image:HaralickCorrelation.eps\|thumb\|200px\|Haralick correlation]]
		+	\|}
		+
		+	===Run Length texture feature maps===
		+	{\|
		+	\|[[Image:ShortRunEmphasis.eps\|thumb\|400px\|Short run emphasis]]
		+	\|[[Image:LongRunEmphasis.eps\|thumb\|400px\|Long run emphasis]]
		+	\|[[Image:GreyLevelnonUniformity.eps\|thumb\|400px\|Grey level non uniformity]]
		+	\|[[Image:RunLengthnonUniformity.eps\|thumb\|400px\|Run length non uniformity]]
		+	\|[[Image:LowGreyLevelRunEmphasis.eps\|thumb\|400px\|Low grey level run emphasis]]
		+	\|}
		+	{\|
		+	\|[[Image:HighGreyLevelRunEmphasis.eps\|thumb\|400px\|High grey level run emphasis]]
		+	\|[[Image:ShortRunLowGreyLevelEmphasis.eps\|thumb\|400px\|Short run low grey level emphasis]]
		+	\|[[Image:ShortRunHighGreyLevelEmphasis.eps\|thumb\|400px\|Short run high grey level emphasis]]
		+	\|[[Image:LongRunLowGreyLevelEmphasis.eps\|thumb\|400px\|Long run low grey level emphasis]]
		+	\|[[Image:LongRunHighGreyLevelEmphasis.eps\|thumb\|400px\|Long run high grey level emphasis]]
		+	\|}
		+
		+

@@ Line 19: / Line 19: @@
 {|
-|[[Image:Logo-BoneTextureExtension.png|thumb|400px|Logo BoneTextureExtension]]
+|[[Image:Logo-BoneTextureExtension.png|250px]]
-|}
 This extensions contain several modules that can be used to compute feature maps of N-Dimensional images using two well-known texture analysis methods: the study of Grey Level Co-occurrence Matrix (GLCM) and the study of Grey Level Run Length Matrix (GLRLM). The main algorithms used in this extension are part of a remote module of ITK called [http://www.insight-journal.org/browse/publication/985 itkTextureFeatures]
@@ Line 30: / Line 29: @@
 ** 10 run length textural features: short run emphasis, long run emphasis, grey level non uniformity, run length non uniformity, low grey level run emphasis, high grey level run emphasis, short run low grey level emphasis, short run high grey level emphasis, long run low grey level emphasis and long run high grey level emphasis.
 * Input configurable parameters: locality of the texture, offset directions for co-occurrence and run length computation, the number of bins for the intensity histograms, and the intensity range or the range of run lengths.")
 <!-- ---------------------------- -->
@@ Line 41: / Line 43: @@
 *[[Documentation/{{documentation/version}}/Modules/ComputeGLRLMFeatures|ComputeGLRLMFeatures]]
 *[[Documentation/{{documentation/version}}/Modules/SeparateVectorImage|SeparateVectorImage]]
 <!-- ---------------------------- -->

@@ Line 8: / Line 8: @@
 '''''Contributors:''''' Beatriz Paniagua (Kitware Inc), Lucia Cevidanes (University of Michigan - School of Dentistry), Erika Benavides (University of Michigan - School of Dentistry), Antônio Carlos de Oliveira Ruellas (University of Michigan - School of Dentistry)<br>
 '''''Contact:''''' Jean-Baptiste Vimort, <email>jb.vimort@kitware.com</email><br>
-'''''Acknowledgments:''''' This work was supported by the National Institute of Health (NIH) National Institute for Dental and Cranio-
+'''''Acknowledgments:''''' This work was supported by the National Institute of Health (NIH) National Institute for Dental and Craniofacial Research (NIDCR) grant R21DE025306 (Textural Biomarkers of Arthritis for the Subchondral Bone in the Temporomandibular Joint), NIDCR grant R01DE024450 (Quantification of 3D bony Changes in
-facial Research (NIDCR) grant R01EB021391 (Textural Biomarkers of Arthritis for the Subchondral Bone
+Temporomandibular Joint Osteoarthritis) and National Institute of Biomedical Imaging and Bioengineering NIBIB) grant R01EB021391 (Shape Analysis Toolbox for Medical Image Computing Projects).<br>
 '''''License:''''' [http://www.apache.org/licenses/LICENSE-2.0.html Apache License, Version 2.0]
 <gallery>

@@ Line 5: / Line 5: @@
 <!-- ---------------------------- -->
 {{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
-Author: Jean-Baptise Vimort, Kitware Inc.<br>
+'''''Author:''''' Jean-Baptise Vimort, Kitware Inc.<br>
-Contributors: Beatriz Paniagua (Kitware Inc), Lucia Cevidanes (University of Michigan - School of Dentistry), Erika Benavides (University of Michigan - School of Dentistry), Antônio Carlos de Oliveira Ruellas (University of Michigan - School of Dentistry)<br>
+'''''Contributors:''''' Beatriz Paniagua (Kitware Inc), Lucia Cevidanes (University of Michigan - School of Dentistry), Erika Benavides (University of Michigan - School of Dentistry), Antônio Carlos de Oliveira Ruellas (University of Michigan - School of Dentistry)<br>
-Contact: Jean-Baptiste Vimort, <email>jb.vimort@kitware.com</email><br>
+'''''Contact:''''' Jean-Baptiste Vimort, <email>jb.vimort@kitware.com</email><br>
-License: [http://www.apache.org/licenses/LICENSE-2.0.html Apache License, Version 2.0]
+'''''Acknowledgments:''''' This work was supported by the National Institute of Health (NIH) National Institute for Dental and Cranio-
 <gallery>
 Image:Kitware-logo.png|Kitware Inc.