Modules:FuzzySegmentationModule - Revision history

Taox: /* Module Name */

2010-04-30T15:08:48Z

Module Name

2010-04-29T03:35:12Z

Source code & documentation

2010-04-29T03:31:48Z

2010-04-29T03:23:18Z

Acknowledgment

2010-04-29T03:14:48Z

Examples, Use Cases & Tutorials

2010-04-29T03:12:32Z

Usability issues

2010-04-29T03:10:44Z

Development

2010-04-29T03:07:20Z

Dependencies

2010-04-29T03:04:05Z

Quick Tour of Features and Use

2010-04-29T02:56:14Z

References

@@ Line 9: / Line 9: @@
 | style="text-align: center;" |
 {| border="0"
-|[[Image:FCMInput-3-6.png|thumb|360px|Input Image with Mask]]
+|[[Image:FCMInput-3-6.png|thumb|280px|Input Image with Mask]]
 |-
-|[[Image:FCMResult-3-6.png|thumb|360px|Segmentation Results]]
+|[[Image:FCMResultLabels-3-6.png|thumb|280px|Segmentation Results]]
 |}
 |}

@@ Line 63: / Line 63: @@
 ===Source code & documentation===
-Source Code:
+Source Code: [http://viewvc.slicer.org/viewcvs.cgi/trunk/BrainTissueClassification/TissueClassification.cxx?rev=6314&root=NAMICSandBox&view=log TissueClassification.cxx]
-XML Description:
+XML Description: [http://viewvc.slicer.org/viewcvs.cgi/trunk/BrainTissueClassification/TissueClassification.xml?rev=6314&root=NAMICSandBox&view=log TissueClassification.xml]
 Test: [http://viewvc.slicer.org/viewcvs.cgi/trunk/BrainTissueClassification/Testing/TissueClassificationTest.cxx?rev=6314&root=NAMICSandBox&sortby=author&view=log TissueClassificationTest.cxx]

@@ Line 60: / Line 60: @@
 Developed and tested on T1 weighted images. Performance on images from other modality or with other MR contrasts may be limited.
 ===Source code & documentation===
@@ Line 70: / Line 66: @@
 XML Description:
 Usage:

@@ Line 156: / Line 156: @@
 ===Acknowledgment===
 This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Implementation of the Fuzzy Classification was contributed by Dr. Ming-Ching Chang from GE Research.
 ===References===
 * Ming-ching Chang, Xiaodong Tao “Subvoxel Segmentation and Representation of Brain Cortex Using Fuzzy Clustering and Gradient Vector Diffusion”, SPIE Medical Imaging, San Diego, CA, 2010.

← Older revision		Revision as of 03:14, 29 April 2010
Line 33:		Line 33:

	===Examples, Use Cases & Tutorials===		===Examples, Use Cases & Tutorials===
		+
		+	This module is typically used to assign tissue labels to an image. For example, in MR brain image analysis, many applications need to know which voxels belong to gray matter, white matter, and CSF.

	===Quick Tour of Features and Use===		===Quick Tour of Features and Use===

@@ Line 57: / Line 57: @@
 ===Usability issues===
-None.
+Developed and tested on T1 weighted images. Performance on images from other modality or with other MR contrasts may be limited.
 ===Tests===

← Older revision		Revision as of 03:10, 29 April 2010
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	None.		None.
		+
		+	===Tests===
		+
		+	[http://viewvc.slicer.org/viewcvs.cgi/trunk/BrainTissueClassification/Testing/TissueClassificationTest.cxx?rev=6314&root=NAMICSandBox&sortby=author&view=log TissueClassificationTest.cxx]

	===Source code & documentation===		===Source code & documentation===

← Older revision		Revision as of 03:07, 29 April 2010
Line 48:		Line 48:

	===Dependencies===		===Dependencies===
		+
		+	No other modules are required for this module. The mask can be generated using any skull stripping algorithm.

	===Known bugs===		===Known bugs===

← Older revision		Revision as of 03:04, 29 April 2010
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	===Quick Tour of Features and Use===		===Quick Tour of Features and Use===
		+	* '''Input/Output panels:'''
		+
		+	[[Image:FCM-IOPanels-3-6.png\|thumb\|right\|280px\|Input/Output panels]]
		+	This module takes two input volumes and generate two output volumes. '''Input Volume''' is the MR image to be segmented. '''Input Mask''' gives the mask within which segmentation is applied. '''Hard Segmentation''' is an output label map. And '''Bias Field''' is the estimated bias field.
		+
		+	* '''Parameters panel:'''
		+	[[Image:FCM-ParametersPanels-3-6.png\|thumb\|right\|280px\|Parameters panels]]
		+
		+	User can specify two parameters: '''NumberOfClasses''' tells the algorithm how many different tissues there are in the given mask. For brain, we use 3 -- gray matter, white matter, and CSF; '''BiasOption''' specifies how bias field is modeled -- 0: no bias correction; 1: global linear; 2: global quadratic; 3: region based linear; 4: region based quadratic. From 0 to 4, computation time increases as the accuracy increases.

	== Development ==		== Development ==

← Older revision		Revision as of 02:56, 29 April 2010
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	===References===		===References===

−	* Ming-ching Chang, Xiaodong Tao “Subvoxel Segmentation and Representation of Brain	+	* Ming-ching Chang, Xiaodong Tao “Subvoxel Segmentation and Representation of Brain Cortex Using Fuzzy Clustering and Gradient Vector Diffusion”, SPIE Medical Imaging, San Diego, CA, 2010.
−	Cortex Using Fuzzy Clustering and Gradient Vector Diffusion”, SPIE Medical Imaging,
−	San Diego, CA, 2010.