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  Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]]
 
  Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]]
  
'''Objective:''' Previous studies have observed morphological abnormalities of the corpus callosum in schizophrenia (link to paper below), while other studies have shown abnormal brain activation during memory tasks. The goal of this project is to examine the integrity of fibers in the corpus callosum in patients with schizophrenia and determine whether this is associated with brain activation during memory tasks.
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'''Objective:'''
  
'''Progress:''' Fiber tractography method developed and we have begun to apply it to data collected thus far. An example is pictured below. A link to sample DTI data is also below. [[Image:NAMIC_callosum_tracts_prelim.jpg|[[Image:NAMIC_callosum_tracts_prelim.jpg|Image:NAMIC_callosum_tracts_prelim.jpg]]]]
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To make new filters more accessible to the medical imaging community. These filters include geometric nonlinear smoothing filters for enhancement and a modified Bayesian classifier for segmentation.
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'''Progress:'''
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* Various anisotropic enhancement and Bayesian filters have been incorporated into ITK.
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** [[http://www.itk.org/Insight/Doxygen/html/classitk_1_1BayesianClassifierImageFilter.html Bayesian Classifier Image Filter]]
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** [[http://www.itk.org/Insight/Doxygen/html/classitk_1_1BayesianClassifierInitializationImageFilter.html Bayesian Classifier Initialization Image Filter]]
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* A paper was published in the (Open Access) Insight Journal
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** [[https://caddlab.rad.unc.edu/MIDAS/handle/1926/44 Knowledge-Based Segmentation of Brain MRI Scans Using the Insight Toolkit]]
  
 
'''Key Investigators:'''
 
'''Key Investigators:'''
  
* Dartmouth: John West, Andrew Saykin, Laura Flashman, Paul Wang
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* Georgia Tech: John Melonakos, Allen Tannenbaum
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* Kitware: Karthik Krishnan, Luis Ibanez
  
'''Links'''
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'''Links:'''
  
* Paper, Neurobiology of Aging, in press: [http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6T09-4HGM701-3&_user=489293&_handle=V-WA-A-W-AEU-MsSAYZW-UUW-U-AAVEAEAWVU-AAVZDDWUVU-YVUCEAAYD-AEU-U&_fmt=summary&_coverDate=11%2F04%2F2005&_rdoc=95&_orig=browse&_srch=%23toc%234857%239999%23999999999%2399999!&_cdi=4857&view=c&_acct=C000022698&_version=1&_urlVersion=0&_userid=489293&md5=721faeff8b07e7d57550a5c5f921a498 Regionally specific atrophy of the corpus callosum in AD, MCI and cognitive complaints]
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* [[Algorithm:GATech#ITK_Bayesian_Classifier_Image_Filter|Georgia Tech Summary Page]]
* [[DBP:Marek_Kubicki_visit_Dartmouth_December_20_2005|December 20, 2005: Marek Kubicki visit to Dartmouth]]
 
* [[DBP:Andy_Saykin_visit_BWH_December_14_2005|December 14, 2005: Andy Saykin and Group visit to Brigham and Women's Hospital]]
 
* Sample Data: https://portal.nbirn.net/BIRN/cgi-bin/DataGrid/browse.cgi?browseloc=/home/Projects/NAMIC__0003/Files/Dartmouth/HealthyControls6
 

Revision as of 13:29, 18 December 2006

Home < NA
Back to NA-MIC_Collaborations

Objective:

To make new filters more accessible to the medical imaging community. These filters include geometric nonlinear smoothing filters for enhancement and a modified Bayesian classifier for segmentation.

Progress:

Key Investigators:

  • Georgia Tech: John Melonakos, Allen Tannenbaum
  • Kitware: Karthik Krishnan, Luis Ibanez

Links: