Projects:MultimodalAtlas - Revision history

Melonakos: /* Publications */

2010-05-11T20:05:58Z

Publications

2009-09-29T18:43:38Z

Key Investigators

2009-09-29T18:43:30Z

Key Investigators

2009-09-29T18:43:17Z

Publications

2009-08-28T00:37:31Z

2009-08-28T00:36:11Z

2009-08-26T18:10:02Z

2009-07-13T17:46:46Z

2009-04-23T17:45:04Z

Publications

2009-04-23T17:43:17Z

Publications

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 = Publications =
-[http://www.na-mic.org/publications/pages/display?search=Projects%3AMultimodalAtlas&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=Projects%3AMultimodalAtlas&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database on Multimodal Atlas]
 [[Category: Registration]]

← Older revision		Revision as of 18:43, 29 September 2009
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	*MIT: Mert R. Sabuncu, Serdar K. Balci and Polina Golland		*MIT: Mert R. Sabuncu, Serdar K. Balci and Polina Golland
−
	*Harvard: M.E. Shenton, M. Kubicki and S. Bouix		*Harvard: M.E. Shenton, M. Kubicki and S. Bouix

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 *MIT: Mert R. Sabuncu, Serdar K. Balci and Polina Golland
-*Harvard DBP 2: M.E. Shenton, M. Kubicki and S. Bouix
+*Harvard: M.E. Shenton, M. Kubicki and S. Bouix
 = Publications =

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 = Publications =
-''In Print''
+[http://www.na-mic.org/publications/pages/display?search=Projects%3AMultimodalAtlas&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database]
 [[Category: Registration]]

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 * <font color="red">'''NEW: '''</font> Image-driven Population Analysis through Mixture-Modeling, M.R. Sabuncu, S.K. Balci, M.E. Shenton and P. Golland. IEEE Transactions on Medical Imaging. Accepted for Publication, 2009.
-* <font color="red">'''NEW: '''</font> Image-driven Population Analysis through Mixture-Modeling, M.R. Sabuncu, S.K. Balci, M.E. Shenton and P. Golland. IEEE Transactions on Medical Imaging. Accepted for Publication, 2009.
 [[Category: Registration]]

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   Back to [[NA-MIC_Internal_Collaborations:StructuralImageAnalysis|NA-MIC Collaborations]], [[Algorithm:MIT|MIT Algorithms]], [[DBP2:Harvard|Harvard DBP2]]
 __NOTOC__
 Today, computational anatomy studies are mainly hypothesis-driven, aiming to identify and characterize structural or functional differences between, for instance a group of patients with a specific disorder and control subjects. This type of approach has two premises: clinical classification of the subjects and spatial correspondence across the images. In practice, achieving either can be challenging. First, the complex spectrum of symptoms of neuro-degenerative disorders like schizophrenia and overlapping symptoms across different types of dementia like Alzheimer's disease, delirium and depression make a diagnosis based on standardized clinical tests like the mental status examination difficult. Second, across-subject correspondence in the images is a particularly hard problem that requires different approaches in various contexts. A popular technique is to normalize all subjects into a standard space, such as the Talairach space, by registering each image with a single, universal template image that represents an average brain. However, the quality of such an approach is limited by the accuracy with which the universal template represents the population in the study.