namic activity report

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NA-MIC National Alliance for Medical Image Computing http://na-mic.org NAMIC Activity Report Polina Golland Core 1, MIT

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NAMIC Activity Report. Polina Golland Core 1, MIT. Registration and Segmentation EM segmentation Atlas construction DTI Probabilistic tractography DTI fiber clustering. Shape analysis Overcomplete wavelets on a sphere fMRI Activation profiles Spatial patterns. - PowerPoint PPT Presentation

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Page 1: NAMIC Activity Report

NA-MICNational Alliance for Medical Image Computing http://na-mic.org

NAMIC Activity Report

Polina GollandCore 1, MIT

Page 2: NAMIC Activity Report

National Alliance for Medical Image Computing http://na-mic.org

Broad Overview of Activities• Registration and Segmentation

– EM segmentation– Atlas construction

• DTI– Probabilistic tractography– DTI fiber clustering

• Shape analysis– Overcomplete wavelets

on a sphere

• fMRI – Activation profiles– Spatial patterns

Page 3: NAMIC Activity Report

National Alliance for Medical Image Computing http://na-mic.org

Outline

• Tissue classification– EM segmentation module in Slicer 3

• Group-wise registration– Atlas construction in ITK – Forward compatibility with XNAT

• Tractography– Probabilistic tractography module in Slicer 3

Page 4: NAMIC Activity Report

NA-MICNational Alliance for Medical Image Computing http://na-mic.org

Tissue Classification

Kilian Pohl (MIT/BWH), Brad Davis (Kitware), Sylvain Bouix (Harvard), Mareck Kubici (Harvard), Martha Shenton (Harvard), Sandy Wells (BWH), Polina Golland (MIT)

Page 5: NAMIC Activity Report

National Alliance for Medical Image Computing http://na-mic.org

• Structure hierarchy• Registration

– Atlas-to-subject– Multimodal

Slicer 3 Module

Page 6: NAMIC Activity Report

National Alliance for Medical Image Computing http://na-mic.org

Publications

• K.M. Pohl et al. A hierarchical algorithm for MR brain image parcellation. IEEE TMI 2007.

• L. Zollei et al. The Impact of Atlas Formation Methods on Atlas-Guided Brain Segmentation, Statistical Registration. MICCAI 2007 Statistical Registration Workshop: Pair-wise and Group-wise Alignment and Atlas Formation, 2007.

• M. Nakamura et al. Neocortical gray matter volume in first episode schizophrenia and first episode affective psychosis: a cross-sectional and longitudinal MRI study. Biological Psychiatry 2007.

• Min-Seong Koo et al. Smaller neocortical gray matter and larger sulcal CSF volumes in neuroleptic-naive females with schizotypal personalitydisorder. Archives of General Psychiatry 2006.

Page 7: NAMIC Activity Report

NA-MICNational Alliance for Medical Image Computing http://na-mic.org

Group-wise Registration

Serdar Balci (MIT), Brad Davis (Kitware), Mert Sabuncu (MIT), Lilla Zollei (MGH), Sylvain Bouix (Harvard), Mareck Kubici (Harvard), Martha Shenton (Harvard), Sandy Wells (BWH), Polina Golland (MIT)

Page 8: NAMIC Activity Report

National Alliance for Medical Image Computing http://na-mic.org

ITK command-line app

• Jointly align all images– MI or Variance– Affine or BSpline

• Optimization– Stochastic sampling – Multi-resolution – Gradient descent with line search

Page 9: NAMIC Activity Report

National Alliance for Medical Image Computing http://na-mic.org

Publications • MICCAI 2007 Statistical Registration Workshop:

– S.K. Balci et al. Free-Form B-spline Deformation Model for Groupwise Registration.

– L. Zöllei et al. The Impact of Atlas Formation Methods on Atlas-Guided Brain Segmentation.

– M.R. Sabuncu, et al. Joint Registration and Clustering of Images.

• S.K. Balci, et al. Non-rigid Groupwise Registration using B-Spline Deformation Model. MICCAI 2007 Workshop on Open-Source and Open-Data.

• A. Mewes, et al. Displacement of Brain Regions in Preterm Infants with Non-Synostotic Dolichocephaly Investigated by MRI, NeuroImage 2007.

Page 10: NAMIC Activity Report

National Alliance for Medical Image Computing http://na-mic.org

Future Work

• Explore structure within populations– Representative templates– Grouping of subjects

• Preliminary study:– Oasis dataset (oasis-brains.org)– 416 subjects, 18-96 years old– run time: 5-6h on

a 16 core 128GB PC10 20 30 40 50 60 70 80 90 100

0

5

10

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79.5 yrs

10 20 30 40 50 60 70 80 90 1000

5

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68.9 yrs

10 20 30 40 50 60 70 80 90 1000

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60

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31.2 yrs

Page 11: NAMIC Activity Report

NA-MICNational Alliance for Medical Image Computing http://na-mic.org

DTI Tractography

Tri Ngo (MIT/BWH), Mareck Kubici (Harvard), Carl-Frederick Westin (BWH), Polina Golland (MIT)

Page 12: NAMIC Activity Report

National Alliance for Medical Image Computing http://na-mic.org

Slicer 3 Module

• MCMC sampling method– Local uncertainty: DTI tensor

• ROI initialization• Stopping criteria

Page 13: NAMIC Activity Report

National Alliance for Medical Image Computing http://na-mic.org

Publications & Plans

• T.M. Ngo, et al. A White Matter Stochastic Tractography System. MICCAI 2007 Workshop on Open-Source and Open-Data.

• Collaborative clinical study with Harvard.

Page 14: NAMIC Activity Report

National Alliance for Medical Image Computing http://na-mic.org

Broad Overview of Activities• Registration and Segmentation

– EM segmentation– Atlas construction

• DTI– Probabilistic tractography– DTI fiber clustering

• Shape analysis– Overcomplete wavelets

on a sphere

• fMRI – Activation profiles– Spatial patterns