2009 UNC HAMMER WML - Revision history

Taox: /* Key Investigators */

2009-02-03T15:50:36Z

Key Investigators

Taox at 14:26, 3 February 2009

2009-02-03T14:26:07Z

Taox at 14:24, 3 February 2009

2009-02-03T14:24:22Z

Taox: /* Key Investigators */

2009-02-03T14:12:26Z

Key Investigators

Taox at 14:11, 3 February 2009

2009-02-03T14:11:15Z

Taox at 13:56, 3 February 2009

2009-02-03T13:56:49Z

Taox: /* Key Investigators */

2009-02-03T13:26:25Z

Key Investigators

Taox: /* Key Investigators */

2009-01-07T15:17:45Z

Key Investigators

Taox: /* Key Investigators */

2008-12-28T15:36:02Z

Key Investigators

Taox at 21:04, 22 December 2008

2008-12-22T21:04:33Z

@@ Line 30: / Line 30: @@
 <div style="width: 40%; float: left;">
 <h1>Progress</h1>
-Both HAMMER and WML segmentation algorithms have been distributed in binary forms for a number of years and have been used by some research groups. We will start with the algorithms in their current forms to generate ground truth on publically available data sets. A NITRC project is setup for collaboration between UNC and GE Research.
+Both HAMMER and WML segmentation algorithms have been distributed in binary forms for a number of years and have been used by some research groups. We will start with the algorithms in their current forms to generate ground truth on publically available data sets. A NITRC project (http://www.nitrc.org/projects/hammerwml/) is setup for collaboration between UNC and GE Research.
 On Hammer side:

@@ Line 1: / Line 1: @@
 {|
 |[[Image:NAMIC-SLC.jpg|thumb|320px|Return to [[2009_Winter_Project_Week|Project Week Main Page]] ]]
-|[[Image:HammerABrain.png|thumb|320px|Deformable registration using HAMMER ('''H'''eirarchical '''A'''ttribute '''M'''atching '''M'''echanism for '''E'''lastic '''R'''egistration)]]
+|[[Image:HammerABrain.png|thumb|280px|Deformable registration using HAMMER ('''H'''eirarchical '''A'''ttribute '''M'''atching '''M'''echanism for '''E'''lastic '''R'''egistration)]]
-|[[Image:WMLSegmentation.png|thumb|320px|White Matter Lesion Segmentation, comparison between manual and automated results]]
+|[[Image:WMLSegmentation.png|thumb|240px|White Matter Lesion Segmentation, comparison between manual and automated results]]
 |}
@@ Line 8: / Line 8: @@
 {|
-|[[Image:HammerAttribute.jpg|thumb|320px|Components of Hammer Attribute Vectors]]
+|[[Image:HammerAttribute.jpg|thumb|240px|Components of Hammer Attribute Vectors]]
 |[[Image:HammerEdgeSelection.png|thumb|320px|Edge points selected at different deformation stage]]
-|[[Image:HammerSimilarity.png|thumb|320px|Similarity map (middle column) computed on moving image (right) for the selected point on the fixed image (left, cross). Point indicated by a cross on the middle and right column is the point on the moving image that is the most similar to the picked point on the fixed image.]]
+|[[Image:HammerSimilarity.png|thumb|240px|Similarity map (middle column) computed on moving image (right) for the selected point on the fixed image (left, cross). Point indicated by a cross on the middle and right column is the point on the moving image that is the most similar to the picked point on the fixed image.]]
 |}
 ===Key Investigators===

@@ Line 2: / Line 2: @@
 |[[Image:NAMIC-SLC.jpg|thumb|320px|Return to [[2009_Winter_Project_Week|Project Week Main Page]] ]]
 |[[Image:HammerABrain.png|thumb|320px|Deformable registration using HAMMER ('''H'''eirarchical '''A'''ttribute '''M'''atching '''M'''echanism for '''E'''lastic '''R'''egistration)]]
 |}

@@ Line 18: / Line 18: @@
 __NOTOC__
 <div style="margin: 20px;">
-<div style="width: 40%; float: left; padding-right: 3%;">
+<div style="width: 27%; float: left; padding-right: 3%;">
 <h1>Objective</h1>
 Design ITK classes for Hierarchical Attribute Matching Mechanism for Elastic Registration (HAMMER) and White Matter Lesion segmentation so that these algorithms can be easily implemented using the Insight Toolkit and integrated into Slicer. The goals of the week is to analyze the algorithms on the object level, map components to existing ITK classes, identify gaps, and start implementation. Will also identify testing dataset and generate baseline results for testing.
@@ Line 27: / Line 27: @@
 Software process embraced by NA-MIC community. We will be using NITRC as our CVS repository for development. We will develop the algorithms as well as the testing. The current binary distribution of the algorithms will serve as the baseline for our testing.</div>
-<div style="width: 27%; float: left;">
+<div style="width: 40%; float: left;">
 <h1>Progress</h1>
 Both HAMMER and WML segmentation algorithms have been distributed in binary forms for a number of years and have been used by some research groups. We will start with the algorithms in their current forms to generate ground truth on publically available data sets. A NITRC project is setup for collaboration between UNC and GE Research.

@@ Line 3: / Line 3: @@
 |[[Image:HammerABrain.png|thumb|320px|Deformable registration using HAMMER ('''H'''eirarchical '''A'''ttribute '''M'''atching '''M'''echanism for '''E'''lastic '''R'''egistration)]]
 |}
 {|
 |[[Image:HammerAttribute.jpg|thumb|320px|Components of Hammer Attribute Vectors]]
@@ Line 22: / Line 25: @@
 <div style="width: 27%; float: left; padding-right: 3%;">
 <h1>Approach, Plan</h1>
-Software process embraced by NA-MIC community.
+Software process embraced by NA-MIC community. We will be using NITRC as our CVS repository for development. We will develop the algorithms as well as the testing. The current binary distribution of the algorithms will serve as the baseline for our testing.</div>
 <div style="width: 27%; float: left;">
 <h1>Progress</h1>
-Both HAMMER and WML segmentation algorithms have been distributed in binary forms for a number of years and have been used by some research groups. We will start with the algorithms in their current forms to generate ground truth on publically available datasets. A NITRC project is setup for collaboration between UNC and GE Research.
+Both HAMMER and WML segmentation algorithms have been distributed in binary forms for a number of years and have been used by some research groups. We will start with the algorithms in their current forms to generate ground truth on publically available data sets. A NITRC project is setup for collaboration between UNC and GE Research.
 On Hammer side:
@@ Line 37: / Line 39: @@
 One WML Segmentation side:
-# Skull stripping is been developed. For WML segmentation, skull stripping is not THE most critical piece. The accuracy requirement is relaxed.
+# Skull stripping is being developed. For WML segmentation, skull stripping is not THE most critical piece. The accuracy requirement is relaxed.
 # Support vector machine classification will be using/extending SVMShapeAnalysis in Namic Sandbox developed by MIT group.
 # Test data is yet to be determined.

@@ Line 6: / Line 6: @@
 * UNC: Dinggang Shen
 * GE Research: Xiaodong Tao, Jim Miller
 __NOTOC__