NA-MIC Internal Collaborations:DiffusionImageAnalysis - Revision history

Melonakos at 18:38, 4 November 2009

2009-11-04T18:38:58Z

Melonakos at 17:55, 4 November 2009

2009-11-04T17:55:23Z

Melonakos: /* Tubular Surface Segmentation Framework */

2009-11-04T16:41:47Z

Tubular Surface Segmentation Framework

Melonakos at 16:33, 2 September 2009

2009-09-02T16:33:47Z

Melonakos at 16:32, 2 September 2009

2009-09-02T16:32:21Z

Melonakos at 13:44, 28 August 2009

2009-08-28T13:44:54Z

Melonakos at 20:06, 27 August 2009

2009-08-27T20:06:50Z

Melonakos at 20:06, 27 August 2009

2009-08-27T20:06:14Z

Melonakos at 20:05, 27 August 2009

2009-08-27T20:05:35Z

Melonakos: /* DTI Fiber Clustering and Fiber-Based Analysis */

2009-08-27T20:03:12Z

DTI Fiber Clustering and Fiber-Based Analysis

← Older revision		Revision as of 18:38, 4 November 2009
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	Age-associated alterations in cortical gray and white matter signal intensity and gray to white matter contrast. Neuroimage, 2009 Oct 15;48(1):21-8		Age-associated alterations in cortical gray and white matter signal intensity and gray to white matter contrast. Neuroimage, 2009 Oct 15;48(1):21-8

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−	~~\|\| [[Image:GT-DWI-Reorientation-1.jpg\|200px\|]]~~
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−	~~== [[Projects:DWIReorientation\|Re-Orientation Approach for Segmentation of DW-MRI]] ==~~
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−	This work proposes a methodology to segment tubular fiber bundles from diffusion weighted magnetic resonance images (DW-MRI). Segmentation is simplified by locally reorienting diffusion information based on large-scale fiber bundle geometry. [[Projects:DWIReorientation\|More...]]
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−	~~<font color="red">'''New: '''</font> Near-tubular fiber bundle segmentation for diffusion weighted imaging: segmentation through frame reorientation. Neuroimage, Mar 2009.~~
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 We have proposed a new model for tubular surfaces that transforms the problem of detecting a surface in 3D space, to detecting a curve in 4D space. Besides allowing us to impose a "soft" tubular shape prior, this also leads to computational efficiency over conventional surface segmentation approaches. [[Projects:TubularSurfaceSegmentation|More...]]
-<font color="red">'''New: '''</font> V. Mohan, G. Sundaramoorthi and A. Tannenbaum. Tubular Surface Segmentation for identifying anatomical structures from medical imagery. September 2008.  Proceedings of the Second Workshop on Mathematical Foundations of Computational Anatomy (MFCA'08), Int Conf Med Image Comput Comput Assist Interv. 2008.
+<font color="red">'''New: '''</font> V. Mohan, G. Sundaramoorthi, M. Kubicki and A. Tannenbaum. Tubular Surface Evolution for Segmentation of the Cingulum Bundle From DW-MRI. September 2008.  Proceedings of the Second Workshop on Mathematical Foundations of Computational Anatomy (MFCA'08), Int Conf Med Image Comput Comput Assist Interv. 2008.
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← Older revision		Revision as of 16:33, 2 September 2009
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	<font color="red">'''New: '''</font> V. Mohan, G. Sundaramoorthi and A. Tannenbaum. Tubular Surface Segmentation for identifying anatomical structures from medical imagery. September 2008. Proceedings of the Second Workshop on Mathematical Foundations of Computational Anatomy (MFCA'08), Int Conf Med Image Comput Comput Assist Interv. 2008.		<font color="red">'''New: '''</font> V. Mohan, G. Sundaramoorthi and A. Tannenbaum. Tubular Surface Segmentation for identifying anatomical structures from medical imagery. September 2008. Proceedings of the Second Workshop on Mathematical Foundations of Computational Anatomy (MFCA'08), Int Conf Med Image Comput Comput Assist Interv. 2008.
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		+	== [[Projects:GeodesicTractographySegmentation\|Geodesic Tractography Segmentation]] ==
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		+	In this work, we provide an energy minimization framework which allows one to find fiber tracts and volumetric fiber bundles in brain diffusion-weighted MRI (DW-MRI). [[Projects:GeodesicTractographySegmentation\|More...]]
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		+	<font color="red">'''New: '''</font> J. Melonakos, E. Pichon, S. Angenet, and A. Tannenbaum. Finsler Active Contours. IEEE Transactions on Pattern Analysis and Machine Intelligence, March 2008, Vol 30, Num 3.

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 Age-associated alterations in cortical gray and white matter signal intensity and gray to white matter contrast. Neuroimage, 2009 Oct 15;48(1):21-8
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← Older revision		Revision as of 13:44, 28 August 2009
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−	~~== [[Projects:DTIModeling\|Fiber Tract Modeling, Clustering, and Quantitative Analysis]] ==~~
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−	~~The goal of this work is to model the shape of the fiber bundles and use this model discription in clustering and statistical analysis of fiber tracts. [[Projects:DTIModeling\|More...]]~~
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−	<font color="red">'''New:'''</font> Maddah M., Zollei L., Grimson W.E.L., Westin C., Wells III W.M. , A Mathematical Framework for Incorporating Anatomical Knowledge in DT-MRI Analysis . Proceedings of the 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2008; 4543943: 105–108.
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← Older revision		Revision as of 20:06, 27 August 2009
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−	~~== [[Projects:DTIValidation\|DTI Validation]] ==~~
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−	To carry out quantitative and qualitative validation of the DTI tractography tools. These will be applied to a limited set of specific tracts in single data sets and single tractography tools, and on several data sets using at least two tractography programs and by investigators in different laboratories. [[Projects:DTIValidation\|More...]]


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← Older revision		Revision as of 20:06, 27 August 2009
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−	~~=== Other Diffusion Image Algorithms ===~~
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−	~~== [[Projects:IntegrityOfFrontoTemporalCircuitry\|Integrity of Fronto-Temporal Circuitry]] ==~~
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−	Our objective is to develop methodology that will permit investigators to specify functional MRI regional of interests (fROI) and determine the optimal white matter pathways between the fROIs based on DTI. [[Projects:IntegrityOfFrontoTemporalCircuitry\|More...]]
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−	~~\| \| [[Image:Thalamus_algo_outline.png\|200px]]~~
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−	~~== [[Projects:DTISegmentation\|DTI-based Segmentation]] ==~~
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−	~~Unlike conventional MRI, DTI provides adequate contrast to segment the thalamic nuclei, which are gray matter structures. [[Projects:DTISegmentation\|More...]]~~
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−	~~\| \| [[Image:DTINoiseStatistics.png\|200px]]~~
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−	~~== [[Projects:DTINoiseStatistics\|Influence of Imaging Noise on DTI Statistics]] ==~~
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−	Clinical acquisition of diffusion weighted images with high signal to noise ratio remains a challenge. The goal of this project is to understand the impact of MR noise on quantiative statistics of diffusion properties such as anisotropy measures, trace, etc. [[Projects:DTINoiseStatistics\|More...]]
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−	~~== [[Projects:DicomToNrrdForDTI\|Notes on the dicom conversion for DTI data]] ==~~
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−	~~Report about some observation when converting DTI data from dicom to dwi volumes~~
−	~~[[Projects:DicomToNrrdForDTI\|More...]]~~

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← Older revision		Revision as of 20:05, 27 August 2009
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−	~~\| \| [[Image:CingulumAllSubjectsFibers.png\|200px]]~~
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−	~~\| \| [[Image:NAMIC UncinateFasiculus prelim.jpg\|200px]]~~
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−	~~== [[Projects:FractionalAnisotrophyInTheUncinateFasciculus\|Fractional Anisotropy in the Uncinate Fasciculus]] ==~~
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−	Our objective is to measure the FA in the uncinate fasciculus in patients with schizophrenia. This project is based on the methods published by Kubicki et al. and extends that work by including a bipolar disorder control group, and determining whether there is an association between FA and cognitive functioning and symptoms in the patient groups. [[Projects:FractionalAnisotrophyInTheUncinateFasciculus\|More...]]

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← Older revision		Revision as of 20:03, 27 August 2009
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−	~~== [[Projects:DTIClustering\|DTI Fiber Clustering and Fiber-Based Analysis]] ==~~
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−	The goal of this project is to provide structural description of the white matter architecture as a partition into coherent fiber bundles and clusters, and to use these bundles for quantitative measurement. [[Projects:DTIClustering\|More...]]

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