Difference between revisions of "NA"

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'''Objective:''' To improve shape analysis of the caudate and to parcellate the corpus callosum based on function.
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'''Objective:''' Imporving the accuracy of activation detection in fMRI through incorporation of sophisticated prior models on activation, including anatomical priors.
  
 
'''Progress:'''
 
'''Progress:'''
  
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* UNC applied shape analysis pipeline to a dataset of manually segmented caudates of males with and without schizoptypal personality disorders. Differences were found mainly on the right caudates. No differences were found for regional parcellations of the corpus callosum.
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The work on MRF-based regularization of the fMRI activation maps was presented at IPMI last summer. The algorithm implementation in Slicer is underway in collaboration with BWH. Our plans include releasing the code into the itk libaray.
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* The open source shape analysis pipeline was transfered and installed at Harvard PNL.
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* Harvard applied the UNC shape analysis software to a new dataset of manually segmented caudates of females with and without schizotypal personality disorder. The results confirmed previous findings in the male dataset. Statistically significant shape differences for the right caudate were found (see Fig 1).
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Publications:
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* Wanmei Ou, Polina Golland. From Spatial Regularization to Anatomical Priors in fMRI Analysis. In Proc. IPMI 2005, LNCS 3565:88-100, 2005. [[Media:OuGolland_IPMI05.pdf| (pdf)]]
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* Wanmei Ou. fMRI Detection with Spatial Regularization. MIT Master Thesis, May 2005. [[Media:OuMasterThesis.pdf| (pdf)]]
  
 
'''Key Investigators:'''
 
'''Key Investigators:'''
  
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* Harvard PNL: Sylvain Bouix, Marek Kubicki, James Levitt, Marc Niethammer, Martha Shenton
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* MIT: Polina Golland, Wanmei Ou
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* UNC: Martin Styner, Isabelle Corouge, Guido Gerig
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* BWH: Steve Pieper, Sandy Wells, Wendy Plesniak, Carsten Richter
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* Georgia Tech: Delphine Nain, Allen Tannenbaum
 
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{|
 
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|+ '''Fig 1. Right female caudate results'''
 
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<div class="thumb tright"><div style="width: 252px">[[Image:Rawpval_rc_back_min.png|[[Image:250px-Rawpval_rc_back_min.png|Medial]]]]<div class="thumbcaption"><div class="magnify" style="float: right">[[Image:Rawpval_rc_back_min.png|[[Image:magnify-clip.png|Enlarge]]]]</div>Medial</div></div></div>
 
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| valign="top" |
 
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<div class="thumb tright"><div style="width: 277px">[[Image:Rawpval_rc_front_min.png|[[Image:275px-Rawpval_rc_front_min.png|Lateral]]]]<div class="thumbcaption"><div class="magnify" style="float: right">[[Image:Rawpval_rc_front_min.png|[[Image:magnify-clip.png|Enlarge]]]]</div>Lateral</div></div></div>
 
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<div class="thumb tright"><div style="width: 52px">[[Image:Rawpval_rc_colorbar_min.png|[[Image:50px-Rawpval_rc_colorbar_min.png|p value]]]]<div class="thumbcaption"><div class="magnify" style="float: right">[[Image:Rawpval_rc_colorbar_min.png|[[Image:magnify-clip.png|Enlarge]]]]</div>p value</div></div></div>
 
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'''Links:'''
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<br />'''Links:'''
  
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* [[Progress_Report:Shape_Analysis|Shape Analysis Progress Report]]
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* [[NAMIC_Wiki:FMRI|fMRI Analysis Page]]
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* [[DBP:Harvard:Collaboration:UNC|DBP:Harvard:Collaboration:UNC]]
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* [[Algorithm:MIT#fMRI_Detection_and_Analysis|Page describing this project]]
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* [[DataRepository#Brockton_VA.2FHarvard_Structural_and_DTI_Images|Male caudate data]]
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* [[Progress_Report:fMRI_Detection|Recent Update]]

Revision as of 13:28, 18 December 2006

Home < NA

Objective: Imporving the accuracy of activation detection in fMRI through incorporation of sophisticated prior models on activation, including anatomical priors.

Progress:

The work on MRF-based regularization of the fMRI activation maps was presented at IPMI last summer. The algorithm implementation in Slicer is underway in collaboration with BWH. Our plans include releasing the code into the itk libaray.

Publications:

  • Wanmei Ou, Polina Golland. From Spatial Regularization to Anatomical Priors in fMRI Analysis. In Proc. IPMI 2005, LNCS 3565:88-100, 2005. (pdf)
  • Wanmei Ou. fMRI Detection with Spatial Regularization. MIT Master Thesis, May 2005. (pdf)

Key Investigators:

  • MIT: Polina Golland, Wanmei Ou
  • BWH: Steve Pieper, Sandy Wells, Wendy Plesniak, Carsten Richter


Links:

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