Algorithm:MGH:TenorBasedGroupComparison - Revision history

Melonakos at 17:55, 22 September 2007

2007-09-22T17:55:15Z

Melonakos at 20:33, 20 September 2007

2007-09-20T20:33:01Z

Melonakos at 20:32, 20 September 2007

2007-09-20T20:32:38Z

Melonakos: Algorithm:MGH:TenorBasedGroupDevelopment moved to Algorithm:MGH:TenorBasedGroupComparison

2007-09-20T20:26:36Z

Algorithm:MGH:TenorBasedGroupDevelopment moved to Algorithm:MGH:TenorBasedGroupComparison

Melonakos: Algorithm:MGH:Development:GroupComp moved to Algorithm:MGH:TenorBasedGroupDevelopment

2007-09-20T20:24:40Z

Algorithm:MGH:Development:GroupComp moved to Algorithm:MGH:TenorBasedGroupDevelopment

Melonakos at 02:09, 20 September 2007

2007-09-20T02:09:22Z

Andy at 14:26, 20 December 2006

2006-12-20T14:26:03Z

Andy: Update from Wiki

2006-12-18T13:16:52Z

Update from Wiki

New page

== DTI Analysis: Tensor-based Group Comparison ==

''Objective:'' To boost statistical sensitivity for group comparisons in comparison to 'traditional' univariate tests.

=== Example ===

The figure shows an example of the potential gain in sensitivity using a multivariate tensor test in comparison to the univariate FA test:

<div class="thumb tright"><div style="width: 182px">[[Image:GrpCmpImg.jpg|[[Image:180px-GrpCmpImg.jpg|Multivariate vs. Univariate Test Comparison]]]]<div class="thumbcaption"><div class="magnify" style="float: right">[[Image:GrpCmpImg.jpg|[[Image:magnify-clip.png|Enlarge]]]]</div>Multivariate vs. Univariate Test Comparison</div></div></div>

.

<div class="thumb tright"><div style="width: 182px">[[Image:GrpCmpGrph.jpg|[[Image:180px-GrpCmpGrph.jpg]]]]<div class="thumbcaption"><div class="magnify" style="float: right">[[Image:GrpCmpGrph.jpg|[[Image:magnify-clip.png|Enlarge]]]]</div></div></div></div>

'''Status''' The tensor based group comparison method was released into the FreeDiffusion environment at MGH. Paper submitted: "Statistical Group Comparison of Diffusion Tensors via Multivariate Hypothesis Testing." The implementation is in Matlab. Results are able to be visualized in Slicer.

@@ Line 1: / Line 1: @@
-== DTI Analysis: Tensor-based Group Comparison ==
+ Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:MGH|MGH Algorithms]]
- Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:MGH|MGH Algorithms]]
+= DTI Analysis: Tensor-based Group Comparison =
-''Objective:'' To boost statistical sensitivity for group comparisons in comparison to 'traditional' univariate tests.
+Our objective is to boost statistical sensitivity for group comparisons in comparison to 'traditional' univariate tests.
-=== Example ===
+= Description =
 The figure shows an example of the potential gain in sensitivity using a multivariate tensor test in comparison to the univariate FA test:
@@ Line 13: / Line 13: @@
 [[Image:GrpCmpGrph.jpg|thumb|182px|right|]]
-'''Status''' The tensor based group comparison method was released into the FreeDiffusion environment at MGH. Paper submitted: "Statistical Group Comparison of Diffusion Tensors via Multivariate Hypothesis Testing." The implementation is in Matlab. Results are able to be visualized in Slicer.
+''Status'' The tensor based group comparison method was released into the FreeDiffusion environment at MGH. Paper submitted: "Statistical Group Comparison of Diffusion Tensors via Multivariate Hypothesis Testing." The implementation is in Matlab. Results are able to be visualized in Slicer.
-* '''Use case'''<nowiki>: 'Compare DTI images between groups using the full tensor information.' </nowiki>
+* ''Use case''<nowiki>: 'Compare DTI images between groups using the full tensor information.' </nowiki>
 * Difficulty: Medium
 * Impact: Medium-High
@@ Line 28: / Line 28: @@
 # Port FFT method from R to matlab (Whitcher): '''done'''
 # Implement FFT method in diffusion development environment (Tuch): '''done'''

@@ Line 1: / Line 1: @@
 == DTI Analysis: Tensor-based Group Comparison ==
-Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:MGH|MGH Algorithms]]
+ Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:MGH|MGH Algorithms]]
 ''Objective:'' To boost statistical sensitivity for group comparisons in comparison to 'traditional' univariate tests.

← Older revision		Revision as of 02:09, 20 September 2007
Line 12:		Line 12:

	'''Status''' The tensor based group comparison method was released into the FreeDiffusion environment at MGH. Paper submitted: "Statistical Group Comparison of Diffusion Tensors via Multivariate Hypothesis Testing." The implementation is in Matlab. Results are able to be visualized in Slicer.		'''Status''' The tensor based group comparison method was released into the FreeDiffusion environment at MGH. Paper submitted: "Statistical Group Comparison of Diffusion Tensors via Multivariate Hypothesis Testing." The implementation is in Matlab. Results are able to be visualized in Slicer.
		+
		+	== [[Algorithm:MGH:Development:GroupComp\|Tensor-based group comparison (Cramer test)]] ==
		+
		+	* '''Use case'''<nowiki>: 'Compare DTI images between groups using the full tensor information.' </nowiki>
		+	* Difficulty: Medium
		+	* Impact: Medium-High
		+
		+	# Implement in R (Whitcher/Tuch) : '''done'''
		+	# Power analysis (Whitcher) : '''done'''
		+	# Port to Matlab (Whitcher) : '''done'''
		+	# Validate Matlab version against R (Whitcher) : '''done'''
		+	# Test on group data : '''done'''
		+	# Release bootstrap-only version to test group: '''done'''
		+	# Port FFT method from R to matlab (Whitcher): '''done'''
		+	# Implement FFT method in diffusion development environment (Tuch): '''done'''

← Older revision	Revision as of 20:26, 20 September 2007
(No difference)

← Older revision	Revision as of 20:24, 20 September 2007
(No difference)