Documentation/Nightly/Extensions/OpenCAD - Revision history

Vnarayan at 03:46, 2 August 2014

2014-08-02T03:46:30Z

Vnarayan at 17:02, 24 July 2014

2014-07-24T17:02:01Z

Vnarayan at 17:00, 24 July 2014

2014-07-24T17:00:57Z

Vnarayan at 16:55, 24 July 2014

2014-07-24T16:55:55Z

Vnarayan at 19:21, 2 July 2014

2014-07-02T19:21:32Z

Vnarayan at 12:56, 12 May 2014

2014-05-12T12:56:36Z

Vnarayan at 15:26, 30 April 2014

2014-04-30T15:26:50Z

Jayender at 19:43, 28 April 2014

2014-04-28T19:43:27Z

Vnarayan at 17:53, 28 April 2014

2014-04-28T17:53:48Z

Vnarayan at 17:53, 28 April 2014

2014-04-28T17:53:01Z

@@ Line 26: / Line 26: @@
 {{documentation/{{documentation/version}}/extension-section|Modules}}
 *[[Documentation/{{documentation/version}}/Modules/SegmentCAD|SegmentCAD: Tumor Segmentation from DCE-MRI]]
-*[[Documentation/{{documentation/version}}/Modules/HeterogeneityCAD|HeterogeneityCAD: Analyze Heterogeneity of Tumor Images and their Parameter Maps using various metrics)]]
+*[[Documentation/{{documentation/version}}/Modules/HeterogeneityCAD|HeterogeneityCAD: Feature Extraction toolbox for image heterogeneity analysis]]

@@ Line 34: / Line 34: @@
 **SegmentCAD uses blackbox methods to calculate the wash-in and wash-out slopes from the time-intensity curves.
 **The segmentation output is a Label Map with red, yellow, and blue colors respectively identifying washout (Type III), plateau (Type II), and persistent (Type I) voxels.
-*The HeterogeneityCAD module is an extensible, image feature extraction toolbox primarily to quantify the heterogeneity of tumor images and their label maps. Metrics have been implemented from a variety of feature classes including:
+*The HeterogeneityCAD module is an extensible, image feature extraction toolbox primarily to quantify the heterogeneity of tumor images and their label maps.
-**First-Order/Histogram statistics
+**Metrics have been implemented from a variety of feature classes including:
-**Morphology/Shape measures and Geometrical (4D Extrusion) measures
+***First-Order/Histogram statistics
-**Renyi/Fractal dimensions
+***Morphology/Shape measures and Geometrical (4D Extrusion) measures
-**Texture features computed from Gray-Level Co-occurrence Matrices (GLCM) and from Gray-Level Run Length matrices (GLRL)
+***Renyi/Fractal dimensions

@@ Line 55: / Line 55: @@
 **[[Media:Breast-data1.zip|Breast DCE-MRI Data Set 1 (zip file containing the nrrd volumes for the  tutorial)]]‎
 **[[Media:Breast-data2.zip|Breast DCE-MRI Data Set 2 (zip file containing additional test set of nrrd volumes)]]‎
 <!-- ---------------------------- -->
@@ Line 66: / Line 69: @@
 **Create or select a label map volume node to represent the output of the segmentation
 **Click "Apply OpenCAD Segmentation"
 <!-- ---------------------------- -->
 {{documentation/{{documentation/version}}/module-section|Similar Modules}}
-N/A
+*SegmentCAD:
 <!-- ---------------------------- -->
 {{documentation/{{documentation/version}}/module-section|References}}
-N/A
+* J. Jayender, E. Gombos, S. Chikarmane, D. Dabydeen, F. A. Jolesz, and K. G. Vosburgh, “Statistical Learning Algorithm for In-situ and Invasive Breast Carcinoma Segmentation”, Journal of Computerized Medical Imaging and Graphics, vol. 37, no. 4, pp. 281-292, 2013
 <!-- ---------------------------- -->

@@ Line 26: / Line 26: @@
 {{documentation/{{documentation/version}}/extension-section|Modules}}
 *[[Documentation/{{documentation/version}}/Modules/SegmentCAD|SegmentCAD: Tumor Segmentation from DCE-MRI]]
-*[[Documentation/{{documentation/version}}/Modules/HeterogeneityCAD|HeterogeneityCAD: Analyze Heterogeneity of Tumor Images and their Parameter Maps using various metrics (distribution statistics, texture-based, fractal dimensions, geometric measures, etc)]]
+*[[Documentation/{{documentation/version}}/Modules/HeterogeneityCAD|HeterogeneityCAD: Analyze Heterogeneity of Tumor Images and their Parameter Maps using various metrics)]]
 <!-- ----------------------------  -->
 {{documentation/{{documentation/version}}/extension-section|Extension Description}}
-*The SegmentCAD module is designed to segment tumors from DCE-MRI datasets which include a pre-contrast image and post-contrast images at different time points. {{documentation/modulename}} uses blackbox methods to calculate the wash-in and wash-out slopes from the time-intensity curves. The segmentation output is a Label Map with red, yellow, and blue colors respectively identifying washout (Type III), plateau (Type II), and persistent (Type I) voxels.
+*The SegmentCAD module is designed to segment tumors from DCE-MRI datasets which include a pre-contrast image and post-contrast images at different time points.
-*The HeterogeneityCAD module is under development and will apply metrics to analyze the heterogeneity of tumor images and their parameter maps.
+**SegmentCAD uses blackbox methods to calculate the wash-in and wash-out slopes from the time-intensity curves.
 <!-- ----------------------------

@@ Line 21: / Line 21: @@
 {{documentation/{{documentation/version}}/module-introduction-end}}
 <!-- ----------------------------  -->
@@ Line 26: / Line 33: @@
 *The SegmentCAD module is designed to segment tumors from DCE-MRI datasets which include a pre-contrast image and post-contrast images at different time points. {{documentation/modulename}} uses blackbox methods to calculate the wash-in and wash-out slopes from the time-intensity curves. The segmentation output is a Label Map with red, yellow, and blue colors respectively identifying washout (Type III), plateau (Type II), and persistent (Type I) voxels.
 *The HeterogeneityCAD module is under development and will apply metrics to analyze the heterogeneity of tumor images and their parameter maps.
 <!-- ----------------------------

@@ Line 29: / Line 29: @@
 <!-- ----------------------------  -->
 {{documentation/{{documentation/version}}/extension-section|Modules}}
-*[[Documentation/{{documentation/version}}/Modules/SegmentCAD|SegmentCAD: Segmentation from DCE-MRI]]
+*[[Documentation/{{documentation/version}}/Modules/SegmentCAD|SegmentCAD: Tumor Segmentation from DCE-MRI]]
-*HeterogeneityCAD
+*HeterogeneityCAD: Analyze Heterogeneity of Tumor Images and their Parameter Maps
 <!-- ----------------------------
@@ Line 39: / Line 39: @@
 {{documentation/{{documentation/version}}/module-section|Tutorials}}
 *SegmentCAD
-**[[Media:OpenCADTutorial.pptx|{{documentation/modulename}} Tutorial (pptx)]]‎
+**[[Media:SegmentCADTutorial.pptx|SegmentCAD Tutorial (pptx)]]‎
 <!-- ---------------------------- -->
 {{documentation/{{documentation/version}}/module-section|Data sets}}
 *SegmentCAD
-**[[Media:Breast-data1.zip|Breast DCE-MRI Data Set 1 (zip file containing the nrrd volumes for the {{documentation/modulename}} tutorial)]]‎
+**[[Media:Breast-data1.zip|Breast DCE-MRI Data Set 1 (zip file containing the nrrd volumes for the  tutorial)]]‎
 **[[Media:Breast-data2.zip|Breast DCE-MRI Data Set 2 (zip file containing additional test set of nrrd volumes)]]‎

@@ Line 49: / Line 49: @@
 <!-- ---------------------------- -->
 {{documentation/{{documentation/version}}/module-section|Quick Instructions for Use}}
-*SegmentCAD
+*[[Documentation/{{documentation/version}}/Modules/SegmentCAD|SegmentCAD (Click link for detailed description)]]
 **Select the pre-contrast volume
 **Select the first post-contrast volume