Algorithm:UNC:DTI - Revision history

Marianna: /* Publications */

2010-05-14T13:42:24Z

Publications

Gerig: /* Publications */

2010-05-10T22:14:58Z

Publications

Gerig: /* Publications */

2010-05-10T22:11:32Z

Publications

Gcasey: /* Quantitative Tract Analysis */

2007-06-28T13:52:37Z

Quantitative Tract Analysis

Gcasey: /* Publications */

2007-06-07T21:09:19Z

Publications

Gcasey: /* Software */

2007-04-20T20:29:04Z

Software

Gcasey: Added fiber figures

2007-04-20T20:08:45Z

Added fiber figures

Gcasey: /* Software */

2007-04-20T18:45:20Z

Software

Gcasey: /* Collaboration with PNL */

2007-04-20T18:38:16Z

Collaboration with PNL

Gcasey: /* Collaboration with PNL */

2007-04-20T17:26:06Z

Collaboration with PNL

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 = Publications =
-* Corouge I, Fletcher PT, Joshi S, Gouttard S, Gerig G, Fiber Tract-Oriented Statistics for Quantitative Diffusion Tensor MRI Analysis.  Medical Image Analysis 10 (2006), 786 - 798 [http://www.cs.unc.edu/~gerig/publications/Corouge-DTI-Original-MedIA-2006.pdf| PDF]
+* Corouge I., Fletcher P.T., Joshi S., Gouttard S., Gerig G.  [http://www.na-mic.org/publications/item/view/292Fiber Tract-Oriented Statistics for Quantitative Diffusion Tensor MRI Analysis.] Med Image Anal. 2006 Oct;10(5):786-98.
 * Goodlett C, Corouge I, Jomier M, Gerig G. [http://hdl.handle.net/1926/39 A Quantitative DTI Fiber Tract Analysis Suite]. Insight Journal, 2005.
-* Corouge I, Fletcher PT, Joshi S, Gilmore JH, Gerig G. [[Media:Corouge-miccai-2005.pdf| Fiber Tract-Oriented Statistics for Quantitative Diffusion Tensor MRI Analysis.]] Proc. MICCAI, Oct 26-29 2005; LNCS 3749, pp. 131-139
+* Corouge I., Fletcher P.T., Joshi S., Gilmore J.H., Gerig G. Fiber Tract-Oriented Statistics for Quantitative Diffusion Tensor MRI Analysis. Int Conf Med Image Comput Comput Assist Interv. 2005;8(Pt 1):131-9.
-* Goodlett C, Davis B, Jean R, Gilmore J, Gerig G. Improved Correspondence for DTI Population Studies via Unbiased Atlas Building. Springer LNCS, Vol. 4191, Proc. MICCAI, Oct. 2006, pp. 260 – 267. [[Media:Goodlett-miccai06.pdf | PDF]]
+* Goodlett C., Davis B., Jean R., Gilmore J., Gerig G. [http://www.na-mic.org/publications/item/view/303 Improved Correspondence for DTI Population Studies via Unbiased Atlas Building.] Int Conf Med Image Comput Comput Assist Interv. 2006;9(Pt 2):260-7.
-* Goodlett C, Fletcher P T, Lin W, and Gerig G. Noise-induced bias in low-direction diffusion tensor MRI: Replication of Monte-Carlo simulation with in-vivo scans. ISMRM 2007
+* Goodlett C., Fletcher P.T., Lin W., and Gerig G. Noise-induced bias in low-direction diffusion tensor MRI: Replication of Monte-Carlo simulation with in-vivo scans. ISMRM 2007
-* Casey Goodlett, P. Thomas Fletcher, Weili Lin, Guido Gerig. Quantification of measurement error in DTI: Theoretical predictions and validation. Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention, © Springer-Verlag LNCS vol. 4791, 2007. pp. 10-17
+* Goodlett C., Fletcher P.T., Lin W., Gerig G. Quantification of Measurement Error in DTI: Theoretical Predictions and Validation. Int Conf Med Image Comput Comput Assist Interv. 2007;10(Pt 1):10-17.
-* Casey B. Goodlett, P. Thomas Fletcher, John H. Gilmore, Guido Gerig. Group Statistics of DTI Fiber Bundles Using Spatial Functions of Tensor Measures. Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention, © Springer-Verlag LNCS vol. 5241, 2008. pp. 1068-1075.
+* Goodlett C., Fletcher P.T., Gilmore J.H., Gerig G. Group Statistics of DTI Fiber Bundles Using Spatial Functions of Tensor Measures. Int Conf Med Image Comput Comput Assist Interv. 2008;11(Pt1):1068-1075.
-* Casey B. Goodlett, P. Thomas Fletcher, John H. Gilmore, Guido Gerig. Group Analysis of DTI Fiber Tract Statistics with Application to Neurodevelopment. NeuroImage 45 (1) Supp. 1, 2009. p. S133-S142
+* Goodlett C., Fletcher P.T., Gilmore J.H., Gerig G. Group Analysis of DTI Fiber Tract Statistics with Application to Neurodevelopment. Neuroimage. 2009 Mar;45(1 Suppl):S133-42.
-* Sylvain Gouttard, Marcel Prastawa, Elizabeth Bullitt, Casey Goodlett and Guido Gerig, Constrained Data Decomposition and Regression for Analyzing Healthy Aging from Fiber Tract Diffusion Properties, Springer LNCS 5761, Proc. MICCAI’09, pp. 321-328, 2009 (oral presentation)
+* Gouttard S., Prastawa M., Bullitt E., Lin W., Goodlett C., Gerig G. Constrained Data Decomposition and Regression for Analyzing Healthy Aging from Fiber Tract Diffusion Properties. Int Conf Med Image Comput Comput Assist Interv. 2009;12(Pt 1):321-328. (oral presentation)
 = Software =

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 * Goodlett C, Corouge I, Jomier M, Gerig G. [http://hdl.handle.net/1926/39 A Quantitative DTI Fiber Tract Analysis Suite]. Insight Journal, 2005.
 * Corouge I, Fletcher PT, Joshi S, Gilmore JH, Gerig G. [[Media:Corouge-miccai-2005.pdf| Fiber Tract-Oriented Statistics for Quantitative Diffusion Tensor MRI Analysis.]] Proc. MICCAI, Oct 26-29 2005; LNCS 3749, pp. 131-139
-* Goodlett C, Davis B, Jean R, Gilmore J, Gerig G. Improved Correspondence for DTI Population Studies via Unbiased Atlas Building. MICCAI, 2006. [[Media:Goodlett-miccai06.pdf | PDF]]
+* Goodlett C, Davis B, Jean R, Gilmore J, Gerig G. Improved Correspondence for DTI Population Studies via Unbiased Atlas Building. Springer LNCS, Vol. 4191, Proc. MICCAI, Oct. 2006, pp. 260 – 267. [[Media:Goodlett-miccai06.pdf | PDF]]
 * Goodlett C, Fletcher P T, Lin W, and Gerig G. Noise-induced bias in low-direction diffusion tensor MRI: Replication of Monte-Carlo simulation with in-vivo scans. ISMRM 2007
 * Casey Goodlett, P. Thomas Fletcher, Weili Lin, Guido Gerig. Quantification of measurement error in DTI: Theoretical predictions and validation. Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention, © Springer-Verlag LNCS vol. 4791, 2007. pp. 10-17

@@ Line 62: / Line 62: @@
 * Corouge I, Fletcher PT, Joshi S, Gilmore JH, Gerig G. [[Media:Corouge-miccai-2005.pdf| Fiber Tract-Oriented Statistics for Quantitative Diffusion Tensor MRI Analysis.]] Proc. MICCAI, Oct 26-29 2005; LNCS 3749, pp. 131-139
 * Goodlett C, Davis B, Jean R, Gilmore J, Gerig G. Improved Correspondence for DTI Population Studies via Unbiased Atlas Building. MICCAI, 2006. [[Media:Goodlett-miccai06.pdf | PDF]]
-* Casey Goodlett, P. Thomas Fletcher, Weili Lin, Guido Gerig. Quantification of measurement error in DTI: Theoretical predictions and validation. To Appear MICCAI 2007
+* Goodlett C, Fletcher P T, Lin W, and Gerig G. Noise-induced bias in low-direction diffusion tensor MRI: Replication of Monte-Carlo simulation with in-vivo scans. ISMRM 2007
-* Goodlett C, Fletcher P T, Lin W, and Gerig G. Noise-induced bias in low-direction diffusion tensor MRI: Replication of Monte-Carlo simulation with in-vivo scans. ISMRM 2007.
+* Casey Goodlett, P. Thomas Fletcher, Weili Lin, Guido Gerig. Quantification of measurement error in DTI: Theoretical predictions and validation. Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention, © Springer-Verlag LNCS vol. 4791, 2007. pp. 10-17
 = Software =

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 = Quantitative Tract Analysis =
 This project proposes a framework for quantitative analysis of DTI data.  The framework uses the full tensor information for statistical analysis using the affine-invariant Riemannian metric for defining operations such as interpolation and averaging on tensors.  Furtheremore, the results of tractography are used to provide a reference coordinate system the respresents the underlying structure of fiber bundles.  The tract modeling framework includes a model both of the geometry of the fiber bundle and of the diffusion properties along the bundle.  A new anisotropy measure called geodesic anisotropy (GA) is also included in the framework.
 [[image:corouge_dti_statistics.jpg|thumb|320px|Fiber tracts colored with FA attributes]]

@@ Line 59: / Line 59: @@
 * Corouge I, Fletcher PT, Joshi S, Gilmore JH, Gerig G. [[Media:Corouge-miccai-2005.pdf| Fiber Tract-Oriented Statistics for Quantitative Diffusion Tensor MRI Analysis.]] Proc. MICCAI, Oct 26-29 2005; LNCS 3749, pp. 131-139
 * Goodlett C, Davis B, Jean R, Gilmore J, Gerig G. Improved Correspondence for DTI Population Studies via Unbiased Atlas Building. MICCAI, 2006. [[Media:Goodlett-miccai06.pdf | PDF]]
-* Goodlett C, Fletcher P T, Lin W, and Gerig G. Noise-induced bias in low-direction diffusion tensor MRI: Replication of Monte-Carlo simulation with in-vivo scans. Accepted ISMRM 2007.
+* Casey Goodlett, P. Thomas Fletcher, Weili Lin, Guido Gerig. Quantification of measurement error in DTI: Theoretical predictions and validation. To Appear MICCAI 2007
 = Software =

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 = 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]
-* 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 MRI-DT 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]
+* 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 from UNC  [http://www.ia.unc.edu/dev/ NeuroLib]

@@ Line 37: / Line 37: @@
 |[[Image:goodlett-szcfaaxial039.png|thumb|256px|Color FA of tensors for SZ group]]
 |[[Image:goodlett-szmdaxial039.png|thumb|256px|Mean Diffusivity of tensors for SZ group]]
 |}

← Older revision		Revision as of 18:45, 20 April 2007
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	* 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]		* 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]
	* 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 MRI-DT 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]		* 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 MRI-DT 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 from UNC [http://www.ia.unc.edu/dev/ NeuroLib]

@@ Line 29: / Line 29: @@
 === Collaboration with [[DBP:Harvard|PNL]] ===
-We have begun to apply the DTI atlas building procedure to data provided by the [[DBP:Harvard|PNL]].  A combined set of DTI scans from control and Schizophrenic subjects were aligned using the procedure described above.  In the atlas space the SZ and CNTL groups are processed to produce voxel-wise statistics for each group.  The figure below shows colored FA and mean diffusivity slices for both the CNTL and SZ group.
+We have begun to apply the DTI atlas building procedure to data provided by the [[DBP:Harvard|PNL]].  A combined set of DTI scans from control and Schizophrenic subjects were aligned using the procedure described above.  In the atlas space the SZ and CNTL groups are processed to produce voxel-wise statistics for each group.  The figure below shows colored FA and mean diffusivity slices for both the CNTL and SZ group.  Preliminary work is now being done on region of interest (ROI) hypothesis testing between the two populations.
 {|