Projects:DTIPopulationAnalysis - Revision history

Melonakos: /* Publications */

2010-05-11T20:29:59Z

Publications

Melonakos at 18:20, 4 November 2009

2009-11-04T18:20:52Z

Melonakos at 23:20, 20 October 2009

2009-10-20T23:20:10Z

Melonakos at 18:42, 26 August 2009

2009-08-26T18:42:23Z

Melonakos at 18:40, 26 August 2009

2009-08-26T18:40:01Z

Melonakos at 17:11, 14 July 2009

2009-07-14T17:11:42Z

Gcasey: /* Software */

2008-12-15T22:21:29Z

Software

Gcasey: /* Group Analysis of tract properties */

2008-08-25T20:17:49Z

Group Analysis of tract properties

Gcasey: /* Key Investigators */

2008-08-25T20:06:30Z

Key Investigators

Gcasey: /* Key Investigators */

2008-08-25T20:04:53Z

Key Investigators

@@ Line 74: / Line 74: @@
 ''In Print''
-* [http://www.na-mic.org/publications/pages/display?search=DTIPopulationAnalysis&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database]
+* [http://www.na-mic.org/publications/pages/display?search=DTIPopulationAnalysis&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database on Group Analysis of DTI Fiber Tracts]
 [[Category: Registration]] [[Category:Diffusion MRI]] [[Category:Schizophrenia]]

@@ Line 1: / Line 1: @@
-  Back to [[NA-MIC_Internal_Collaborations:DiffusionImageAnalysis|NA-MIC Collaborations]], [[Algorithm:Utah2|Utah2 Algorithms]]
+  Back to [[NA-MIC_Internal_Collaborations:DiffusionImageAnalysis|NA-MIC Collaborations]], [[Algorithm:Utah2|Utah2 Algorithms]], [[Algorithm:MIT|MIT Algorithms]], [[Algorithm:UNC|UNC Algorithms]]
 __NOTOC__
 = DTI ATlas Building =

@@ Line 1: / Line 1: @@
   Back to [[NA-MIC_Internal_Collaborations:DiffusionImageAnalysis|NA-MIC Collaborations]], [[Algorithm:Utah2|Utah2 Algorithms]]
+__NOTOC__
 = DTI ATlas Building =

@@ Line 50: / Line 50: @@
 Statistical analysis of the sampled function requires the understanding the arc-length functions are sampled representations of a continuous underlying biology.  Furthermore, diffusion statistics such as FA or MD may be highly correlated in the same voxel, and sampled locations along the tracts are likely to be highly spatially correlated.  For these reasons, a method that operates on the space of continuous functions of the joint tensor properties is advantageous for statistical analysis.  Our method fits b-spline basis functions to the sampled curves and performs PCA for data driven reduction of the dimensionality.  Within the PCA coefficient space multi-variate analysis is performed using a permutation test based on the Hotelling T2 metric.  This provides a method for performing a single global hypothesis test between the tracts of the two populations.
 == Application to pediatric data ==
@@ Line 63: / Line 70: @@
 **MIT: Polina Golland, Serdar Balci
-= Software =
-* Algorithms written in ITK. GUI of prototype software written in QT ('''FiberViewer''' software). Prototype software tested in clinical studies at UNC. Validation tests with repeated DTI of same subject (6 cases).  [http://www.ia.unc.edu/dev/download/fibertracking/index.htm| FiberTracking download]
+= Publications =
-* Additionally available: ITK compatible fibertracking prototype tool '''FiberTracking''' to be used to study overlap/dissimilarity with other tools already available to NA-MIC: Functionality: reads raw DW-MRI data (6 direction Basser scheme), fiber tracking based on user-selected source and regions (S. Mori scheme), display of fibertracts and volumetric data, output: sets of streamlines in ITK polyline format attributedwith DTI properties and display parameteres (radiusof tubes, local color, etc.).  [http://www.ia.unc.edu/dev/download/fiberviewer/index.htm| FiberViewer download]
-* Command line tools for DTI processing available  [http://www.sci.utah.edu/~gcasey/software/ DWIProcess]
+''In Print''
 [[Category: Registration]] [[Category:Diffusion MRI]] [[Category:Schizophrenia]]

← Older revision		Revision as of 18:40, 26 August 2009
Line 1:		Line 1:
−	Back to [[NA-MIC_Internal_Collaborations:DiffusionImageAnalysis\|NA-MIC Collaborations]], [[Algorithm:Utah2\|Utah2 Algorithms]]	+	Back to [[NA-MIC_Internal_Collaborations:DiffusionImageAnalysis\|NA-MIC Collaborations]], [[Algorithm:Utah2\|Utah2 Algorithms]]

	= DTI ATlas Building =		= DTI ATlas Building =

← Older revision		Revision as of 17:11, 14 July 2009
Line 54:		Line 54:

	We have tested the analysis procedure on a dataset of pediatric development provided by John H Gilmore of UNC.		We have tested the analysis procedure on a dataset of pediatric development provided by John H Gilmore of UNC.
−
−	~~= Publications =~~
−	* [http://www.na-mic.org/pages/Special:Publications?text=Projects%3ADTIPopulationAnalysis&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked\| NA-MIC Publications Database]

	= Key Investigators =		= Key Investigators =

@@ Line 47: / Line 47: @@
 = Group Analysis of tract properties =
-We have combined the procedure for atlas building of DTI with the tract analysis to provide a method for tract specific statistical analysis.
+We have combined the procedure for atlas building of DTI with the tract analysis to provide a method for tract specific statistical analysis.  This procedure is designed to do hypothesis testing and discrimination between two populations.  The focus of the analysis is tract specific comparisons of diffusion properties such as fractional anisotropy (FA), mean diffusivity, etc rather than comparison of the shape or size of fiber tracts.  The procedure works by combining all images from both populations into a single DTI atlas using the procedure described above.  In the atlas, fibers are computed to create a template geometry for fiber tracts of interest.  The transformations mapping each subject into the atlas are then used to map the diffusion statistics of interest onto the reference atlas fiber tract.  This creates a set of fiber bundles, one for each subject, with identical geometry but differing diffusion properties.  The tract analsysis procedure described above is then used to create a sampled function of these diffusion properties as a function of tract arc-length.
 = Publications =

@@ Line 54: / Line 54: @@
 = Key Investigators =
 *Utah Algorithms: Casey Goodlett, Isabelle Corouge, P. Thomas Fletcher, Guido Gerig
-*Collaborators
+*Clinical Collaborators
-**Clinical
+**UNC: John H Gilmore
-***UNC: John H Gilmore
+**PNL: Marek Kubicki, Sylvain Bouix
-***PNL: Marek Kubicki, Sylvain Bouix
+*Algorithm Collaborators
-**Algorithms
+**MIT: Polina Golland, Serdar Balci
 = Software =