NA-MIC National Alliance for Medical Image Computing Core 3.1 Activities Harvard - Psychiatry Neuroimaging Laboratory and Dartmouth -

Slides:



Advertisements
Similar presentations
National Alliance for Medical Image Computing Diffusion Weighted MRI.
Advertisements

NAMIC: UNC – PNL collaboration- 1 - October 7, 2005 Fiber tract-oriented quantitative analysis of Diffusion Tensor MRI data Postdoctoral fellow, Dept of.
NA-MIC National Alliance for Medical Image Computing Georgia Tech Contributions to NAMIC Allen Tannenbaum.
National Alliance for Medical Image Computing Core 3-1 Schizophrenia NA-MIC National Alliance for Medical Image Computing
Diffusion Tractography of the Fornix in Male Schizophrenic Patients Background: White matter fiber tracts, especially those interconnecting the frontal.
NAMIC: UNC – PNL collaboration- 1 - October 7, 2005 Quantitative Analysis of Diffusion Tensor Measurements along White Matter Tracts Postdoctoral fellow,
The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL FADTTS: Functional Analysis of Diffusion Tensor Tract Statistics Hongtu Zhu, Ph.D. Department of Biostatistics.
National Alliance for Medical Image Computing AHM, SLC, January 2007 Velo-Cardio-Facial Syndrome PRINCIPAL INVESTIGATOR: Marek Kubicki,
NA-MIC National Alliance for Medical Image Computing DTI atlas building for population analysis: Application to PNL SZ study Casey Goodlett,
AUTOMATIC CLUSTER ANALYSIS OF CORPUS CALLOSUM SUBDIVISIONS IN SCHIZOPHRENIA: A DIFFUSION TENSOR IMAGING STUDY Background: The corpus callosum is a major.
Surgical Planning Laboratory Brigham and Women’s Hospital Boston, Massachusetts USA a teaching affiliate of Harvard Medical School Visit of Barbara Alving,
NA-MIC National Alliance for Medical Image Computing Training Core Update Sonia Pujol, PhD Randy Gollub, MD, PhD Harvard Medical School.
NA-MIC National Alliance for Medical Image Computing Slicer for Neurosurgical Planning IBMSPS th Annual World Congress for Brain.
Diffusion MRI Analysis in 3D Slicer Carl-Fredrik Westin 1,2, Steven Pieper 1,2, Marek Kubicki 1,3, Ron Kikinis 1,2 1 Laboratory of Mathematics in Imaging,
Collaborations and Architectures mBIRN Progress at BWH.
NA-MIC National Alliance for Medical Image Computing The NA-MIC Kit National Alliance for Medical Image Computing.
NA-MIC National Alliance for Medical Image Computing Algorithms MIT PI: Polina Golland.
National Alliance for Medical Image Computing May, 2007 Velo-Cardio-Facial Syndrome PRINCIPAL INVESTIGATOR: Marek Kubicki, MD, PhD INVESTIGATORS:
NA-MIC National Alliance for Medical Image Computing Training Core Update Sonia Pujol – Randy Gollub NA-MIC Core 5.
NA-MIC National Alliance for Medical Image Computing Harvard Psychiatry Neuroimaging Laboratory Site PI: Martha E. Shenton, Ph.D.
NA-MIC National Alliance for Medical Image Computing Big Science in Schizophrenia Research Ron Kikinis, M.D. Professor of Radiology,
FORNIX IN FIRST EPISODE SCHIZOPHRENIA: A DIFFUSION TRACTOGRAPHY STUDY Background: Fornix, the most prominent white matter output from the hippocampus have.
NA-MIC National Alliance for Medical Image Computing Harvard Psychiatry Neuroimaging Laboratory Site PI: Martha E. Shenton, Ph.D....
NA-MIC National Alliance for Medical Image Computing Core 1 & Core 3 Projects.
NA-MIC National Alliance for Medical Image Computing Shape Analysis and Cortical Correspondence Martin Styner Core 1 (Algorithms), UNC.
Surgical Planning Laboratory -1- Brigham and Women’s Hospital Slicer Training 10 EMAtlasBrainClassifier Sonia Pujol, Ph.D. Randy.
Surgical Planning Laboratory Brigham and Women’s Hospital Boston, Massachusetts USA a teaching affiliate of Harvard Medical School Overview Ron Kikinis,
Algorithms Organization Ross Whitaker – Utah Polina Golland – MIT (Kayhan B.) Guido Gerig – Utah Martin Styner – UNC Allen Tannenbaum – Georgia Tech.
NA-MIC National Alliance for Medical Image Computing AHM: Dissemination Update Tina Kapur, Ph.D., Co-PI Steve Pieper, Ph.D., Co-PI.
NA-MIC National Alliance for Medical Image Computing Outreach Randy L. Gollub, MD, PhD Cores 5/6: Training & Dissemination Representing.
NCBC EAB, January 2010 NA-MIC Highlights: A Core 1 Perspective Ross Whitaker University of Utah National Alliance for Biomedical Image Computing.
NA-MIC National Alliance for Medical Image Computing Competitive Evaluation & Validation of Segmentation Methods Martin Styner, UNC NA-MIC.
NA-MIC National Alliance for Medical Image Computing The NA-MIC Kit: ITK, VTK, Pipelines, Grids and 3D Slicer as An Open Platform for.
NA-MIC National Alliance for Medical Image Computing A longitudinal study of brain development in autism Heather Cody Hazlett, PhD Neurodevelopmental.
NA-MIC National Alliance for Medical Image Computing NAMIC Software Development Workshop January 24-25, 2005 MIT Computer Science and.
NA-MIC National Alliance for Medical Image Computing National Alliance for Medical Image Computing: NAMIC Ron Kikinis, M.D.
National Alliance for Medical Image Computing NAMIC Milestones: October, 2005 Core 1 (Algorithms) –Developed prototypes for quantitative.
Exploring Peritumoral White Matter Fibers for Neurosurgical Planning Sonia Pujol, Ph.D. Ron Kikinis, M.D. Surgical Planning Laboratory Harvard University.
NA-MIC National Alliance for Medical Image Computing Core 3.1 Activities Harvard - Psychiatry Neuroimaging Laboratory and Dartmouth -
NA-MIC National Alliance for Medical Image Computing Segmentation Core 1-3 Meeting, May , SLC, UT.
National Alliance for Medical Image Computing Structure.
EMSegmentation in Slicer 3 B. Davis, S. Barre, Y. Yuan, W. Schroeder, P. Golland, K. Pohl.
NA-MIC National Alliance for Medical Image Computing UNC Core 1: What did we do for NA-MIC and/or what did NA-MIC do for us Guido Gerig,
NA-MIC National Alliance for Medical Image Computing NA-MIC UNC Guido Gerig, Martin Styner, Isabelle Corouge
NA-MIC National Alliance for Medical Image Computing Core 1 & Core 3 Plans Working session on strategies for coming year.
NA-MIC National Alliance for Medical Image Computing NAMIC UNC Site Update Site PI: Martin Styner UNC Site NAMIC folks: C Vachet, G Roger,
NA-MIC National Alliance for Medical Image Computing 3D Slicer Version 3.0 and Diffusion MRI Steve Pieper, PhD.
NA-MIC National Alliance for Medical Image Computing NAMIC Software Development Workshop December 9-10, 2004 Surgical Planning Lab, Brigham.
NA-MIC National Alliance for Medical Image Computing Velocardiofacial Syndrome as a Genetic Model for Schizophrenia Marek Kubicki DBP2,
NA-MIC National Alliance for Medical Image Computing UNC/Utah-II Core 1 Guido Gerig, Casey Goodlett, Marcel Prastawa, Sylvain Gouttard.
NA-MIC National Alliance for Medical Image Computing Velocardiofacial Syndrome as a Genetic Model for Schizophrenia Marek Kubicki DBP2,
NA-MIC National Alliance for Medical Image Computing fMRI within NAMIC Sandy Wells, Polina Golland Discussion moderator: Andy Saykin.
NA-MIC National Alliance for Medical Image Computing Programming Week Kickoff MIT, June 27, 2005.
National Alliance for Medical Image Computing Hierarchical Atlas Based EM Segmentation.
National Alliance for Medical Image Computing Volumetric Studies.
NA-MIC National Alliance for Medical Image Computing Core 5: Training.
Core Dartmouth Activities Andrew J. Saykin, Psy.D., ABPP-CN John D. West, M.S. Robert M. Roth, Ph.D. Brain Imaging Laboratory Dartmouth Medical School.
NA-MIC National Alliance for Medical Image Computing Analysis and Results of Brockton VA study: Controls vs Schizophrenics Personality Disorder Martin.
NA-MIC National Alliance for Medical Image Computing NAMIC Core 3.1 Overview: Harvard/BWH and Dartmouth Structural and Functional Connectivity.
DT-MRI BWH, MIT Carl-Fredrik Westin, Lauren O’Donnell, Raul San-Jose, Ola Friman, Gordon Kindlmann, William Wells, Sylvain Bouix, Marek Kubicki,
Diffusion Image Analysis
Polina Golland Core 1, MIT
Core 3.1 Activities Harvard - Psychiatry Neuroimaging Laboratory and Dartmouth - Brain.
Harvard Psychiatry Neuroimaging Laboratory
Harvard Psychiatry Neuroimaging Laboratory
Core 3-1 Schizophrenia NA-MIC
D Nain1, M Styner3, M Niethammer4, J J Levitt4,
NAMIC Software Development Workshop
Neuroimaging Schizophrenia and Related Disorders
Core 5: Training Randy Gollub, MD PhD Guido Gerig, PhD
Presentation transcript:

NA-MIC National Alliance for Medical Image Computing Core 3.1 Activities Harvard - Psychiatry Neuroimaging Laboratory and Dartmouth - Brain Imaging Laboratory

National Alliance for Medical Image Computing Update Retrospective and prospective data IRB Progress in adapting NA-MIC kit Issues with the NA-MIC kit Identification of tractable problems

National Alliance for Medical Image Computing Overview - Harvard Core 1 and Core 3.1 Activities Core 2 and Core 3.1 Activities Core 5 and Core 3.1 Activities

National Alliance for Medical Image Computing Core 1 and Core 3.1 Activities University of North Carolina Georgia Tech Utah MIT

National Alliance for Medical Image Computing Core 1 and Core UNC Shape analysis of caudate. Automatic segmentation of corpus callosum based on diffusion fiber tracking model. ITK SNAP: Level set semiautomatic segmentation tool. Statistical analysis of DTI measures along fiber tracts. Participants: UNC: Isabelle Corouge, Martin Styner, Guido Gerig PNL: Sylvain Bouix, Marek Kubicki, James Levitt, Marc Niethammer, Mark Dreusicke, Adam Cohen, Doug Markant, Martha Shenton

National Alliance for Medical Image Computing Shape Analysis of Caudate (raw p-values, right)(Schizotypal Personality Disorder) Medial Lateral Males UNC Results Females Harvard Results (p=0.0027)(p=0.018)

National Alliance for Medical Image Computing Core 1 and Core 3.1 – GaTech Semiautomatic segmentation and parcellation of basal ganglia/striatum. Participants: GaTech: Ramsey Al-Hakim, Delphine Nain, Allen Tannenbaum PNL: Sylvain Bouix, James Levitt, Marc Niethammer, Laura Rosow, Marek Kubicki, Martha Shenton

National Alliance for Medical Image Computing Rule Based Segmentation of the Striatum in Slicer Automatically marked label (blue lines input by user to designate superior/dorsal point on putamen) Post Putamen Pre Caudate Post Caudate Nucleus Accumbens Pre Putamen Anterior/Superior View of Delineated Striatum [Ramsey Al-Hakim (GaTech), James Levitt (PNL)]

National Alliance for Medical Image Computing Core 1 and Core Utah New anisotropic measures for white matter diffusion. Participants: UTAH: Tom Fletcher, Ross Whitaker PNL: Sylvain Bouix, Marek Kubicki, Martha Shenton

National Alliance for Medical Image Computing Core 1 and Core MIT Diffusion measures along cingulum bundle fiber tracts. Clustering of specific fiber tracts based on location & regions they connect. Atlas of human brain white matter fiber bundles using automatic population based clustering. FA/Trace measures of corpus callosum and anterior commissure. Brain tissue segmentation and subparcellation of brain structures. Participants: MIT/LMI: Lauren O’Donnell, Kilian Pohl, Scott Hoge, Raul San Jose, CF Westin, Sandy Wells, Eric Grimson PNL: Sylvain Bouix, Marek Kubicki, Motiaki Nakamura, Marc Niethammer, Mark Dreusicke, Min-Seong Koo, Doug Markant, Martha Shenton

National Alliance for Medical Image Computing Fiber Clustering: Application to NAMIC Data Left and Right Fornix Uncinate Fasciculus and Inferior Occipito-Frontal Fasciculus Splenium of the Corpus Callosum [O’Donnell L, Kubicki M, Shenton, ME, Dreusicke M, Grimson E, Westin, CF: A Method for Clustering White Matter Fiber Tracts. Am J Neuroradiol (In Press)]. Clustering algorithm: Takes traced fibers (left), extracts features from these fibers (middle), and produces a segmentation based on the similarity (right).

National Alliance for Medical Image Computing Population Clustering Automatic generation of white matter fiber bundles based on shape similarity across subjects. [O’Donnell, et al., MIT] Cingulum BundlesUncinate FasciculiCorpus Callosum

National Alliance for Medical Image Computing Core 2 and Core 3.1 Activities Bug reporting and tracking. Prototype testing. Feature requests. Backward compatibility testing. Participants: Core 2/LMI:Nichole Aucoin, Katie Hayes, Alex Yarmakovich, Raul San Jose, CF Westin, Steve Pieper PNL: Sylvain Bouix, Marc Niethammer, Katharina Quintus

National Alliance for Medical Image Computing Core 5 and Core 3.1 Activities Contributed to training material. Participated in training sessions both as trainer and trainee. Hosted one-on-one advanced training sessions. Participants: Core 5: Sonia Pujol, Randy Gollub PNL: Sylvain Bouix, Laura Rosow, Adam Cohen, Erin Connor, Kathleen Long

National Alliance for Medical Image Computing Workshop Wish List. Identification of Tractable Problems.

National Alliance for Medical Image Computing Publications Biomedical and Clinical Applications 1.Nakamura M, McCarley RW, Kubicki M, Dickey CC, Niznikiewicz MA, Voglmaier MM, Seidman LJ, Maier SE, Westin CF, Kikinis R, Shenton ME. Fronto-temporal disconnectivity in schizotypal personality disorder: a diffusion tensor imaging study. Biol Psychiatry Sep 15;58(6): Koo MS, Levitt JJ, McCarley RW, Seidman LJ, Dickey CC, Niznikiewicz MA, Voglmaier MM, Zamani P, Long KL, Kim SS, Shenton ME. Reduction of caudate volume in neuroleptic-naive female subjects with schizotypal personality disorder. Biol Psychiatry (In Press). 3.Kuroki N, Kubicki M, Nestor PG, Salisbury DF, Park HJ, Levitt JJ, Woolston S, Frumin M, Niznikiewicz M, Westin CF, Maier SE, McCarley RW, Shenton ME. Fornix integrity and hippocampal volume in male schizophrenic patients. Biol Psychiatry (In Press). 4.Onitsuka T, Niznikiewicz MA, Spencer KM, Frumin M, Kuroki N, Lucia LC, Shenton ME, McCarley RW: Schizophrenia is associated with functional and structural deficits in brain regions subserving face processing. Am J Psychiatry (In Press).

National Alliance for Medical Image Computing Publications (continued) Algorithm Development 1.Eric Pichon, Delphine Nain, and Marc Niethammer. A Laplace Equation Approach for Shape Comparison. Proc SPIE Medical Imaging, K.M. Pohl, J. Fisher, J.J. Levitt, M.E. Shenton, R. Kikinis, W.E.L. Grimson, and W.M. Wells, “ A Unifying Approach to Registration, Segmentation, and Intensity Correction, ” In Proc. MICCAI 2005: Eighth International Conference on Medical Image Computing and Computer Assisted Intervention, Palm Springs, CA, USA, Springer-Verlag, Part I, vol of Lecture Notes in Computer Science, pp , K.M. Pohl, S. Bouix, M.E. Shenton, W.E.L. Grimson, R. Kikinis, “Automatic Segmentation Using Non-Rigid Registration ” In short communications of MICCAI 2005: Eighth International Conference on Medical Image Computing and Computer Assisted Intervention, Palm Springs, CA, USA, Martin-Fernandez M, Bouix S, Ungar L, McCarley RW, Shenton ME. Two Methods for Validating Brain Tissue Classifiers. MICCAI 2005, Palm Springs, CA, USA: J. Duncan and G. Gerig (Eds.): Lecture Notes in Computer Science, volume 3749, pp , Springer-Verlag Berlin Heidelberg, O’Donnell L, Kubicki M, Shenton ME, Dreusicke MH, Grimson WEL, Westin CF. A method for clustering white matter fiber tracts. AJNR (In Press).

National Alliance for Medical Image Computing Members of the Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, and the Laboratory of Neuroscience, Brockton VA - HMS PUT IN DATA HERE [