Collaborations and Architectures mBIRN Progress at BWH.

Slides:



Advertisements
Similar presentations
Interfacing processing and visualization tools: FIPS to Slicer3 and the QueryAtlas.
Advertisements

XCEDE Use Cases 2008 mBIRN AHM San Juan, Puerto Rico.
XCEDE Use Cases: QueryAtlas & other scenarios 2008 fBIRN AHM.
2005 All Hands Meeting Multi-Site Alzheimer’s Disease Project a.k.a. “MAD” Project Leaders: C. Fennema-Notestine, R. Gollub, B. Dickerson.
Surgical Planning Laboratory Brigham and Women’s Hospital Boston, Massachusetts USA a teaching affiliate of Harvard Medical School 3D Slicer And The NA-MIC.
Function / ROI Viewing in Slicer2 and Slicer3 for fBIRN Data.
All Hands Meeting 2005 Morphometry BIRN - Overview - Scientific Achievements.
-1- Pujol S et al. National Alliance for Medical Image Computing 3D Visualization of FreeSurfer Data Sonia Pujol, Ph.D. Silas Mann, B.Sc. Randy Gollub,
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 NAMIC-Kit Update Will Schroeder Jim Miller Bill Lorensen.
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,
NA-MIC National Alliance for Medical Image Computing The NA-MIC Kit National Alliance for Medical Image Computing.
Neuroimage Analysis Center An NCRR National Resource Center Slicer Workflow Engine: Aim Supplement 3D Slicer with Workflow Management.
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 XNAT eXtenible aNatomy Archiving Toolkit Steve Pieper, PhD Isomics, Inc. Slides.
2004 NIH Building on the BIRN Bruce Rosen, MD PhD Randy Gollub, MD PhD Steve Pieper, PhD Morphometry BIRN.
3D Slicer: A Free & Open Source Platform For Medical Image Analysis and Visualization Brigham and Women’s Hospital.
NA-MIC National Alliance for Medical Image Computing Harvard Psychiatry Neuroimaging Laboratory Site PI: Martha E. Shenton, Ph.D.
Morphometry BIRN Bruce Rosen, M.D. Ph.D.. Scientific Goal Methods –Multi-site MRI calibration, acquisition –Integrate advanced image analysis and visualization.
NA-MIC National Alliance for Medical Image Computing Big Science in Schizophrenia Research Ron Kikinis, M.D. Professor of Radiology,
NA-MIC National Alliance for Medical Image Computing Core 1 & Core 3 Projects.
National Alliance for Medical Image Computing Slicer3 Status Update.
Surgical Planning Laboratory Brigham and Women’s Hospital Boston, Massachusetts USA a teaching affiliate of Harvard Medical School Overview Ron Kikinis,
2004 All Hands Meeting Morphometry BIRN: Milestones for 2005 Jorge Jovicich PhD Steve Pieper, PhD David Kennedy, PhD.
BIRN Advantages in Morphometry  Standards for Data Management / Curation File Formats, Database Interfaces, User Interfaces  Uniform Acquisition and.
Clinical Measures Genotype Local Storage BIRN Rack SRB MCAT HID/ XNAT/ LONI DUP Calibration & Analysis Tools GRID Portal Mediator Institution A BIRN Rack.
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 National Alliance for Medical Image Computing: NAMIC Ron Kikinis, M.D.
NA-MIC National Alliance for Medical Image Computing UCSD: Engineering Core 2 Portal and Grid Infrastructure.
National Alliance for Medical Image Computing NAMIC Milestones: October, 2005 Core 1 (Algorithms) –Developed prototypes for quantitative.
Morphometry BIRN: Imaging Calibration Analysis Tools Data Sharing.
All Hands Meeting 2005 AVI Update Morphometry BIRN Analysis, Visualization, and Interpretation.
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 3D Slicer and the NA-MIC Kit for IGT Research Steve Pieper, PhD NAC, SPL, NA-MIC,
Spring Meeting 2006 Tensor Atlas Morphometry BIRN Analysis, Visualization, and Interpretation.
Spring Meeting 2007 mBIRN Related Activities In and Around BWH.
NA-MIC National Alliance for Medical Image Computing Isomics, Inc. Steve Pieper.
EMSegmentation in Slicer 3 B. Davis, S. Barre, Y. Yuan, W. Schroeder, P. Golland, K. Pohl.
Neuroinformatics Working Group Update 10/26/2009 H Jeremy Bockholt.
National Alliance for Medical Image Computing Core What We Need from Cores 1 & 2 NA-MIC National Alliance for Medical Image Computing.
Morphometry BIRN Semi-Automated Shape Analysis (SASHA) JHU (CIS): M. F. Beg, C. Ceritoglu, A. Kolasny, M. I. Miller, R. Yashinski MGH (NMR): B. Fischl;
Jorge Jovicich, Ph.D. Massachusetts General Hospital - Harvard Medical School Biomedical Informatics Research Network Overview Testbeds Morphometry BIRN.
Neuroimage Analysis Center An NCRR National Resource Center NAC Engineering Core Steve Pieper, Core PI SPL; Isomics, Inc.
Slicer 3 Ron Kikinis, Steve Pieper. CTK Workshop Heidelberg, June 29/30, 2009 Slicer Goals  Stable, Usable, Cross Platform, End-User Software for Medical.
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 NA-MIC Core 2 Update Isomics Steve Pieper Isomics, Inc. NA-MIC Engineering Isomics.
NA-MIC National Alliance for Medical Image Computing Velocardiofacial Syndrome as a Genetic Model for Schizophrenia Marek Kubicki DBP2,
All Hands Meeting 2005 Morphometry BIRN Tool Dissemination.
Triedman Patient-Specific Modeling of Defibrillation in Children Collaborators: Children’s Hospital Boston: John Triedman, Assoc. Prof. Pediatrics Matt.
NA-MIC National Alliance for Medical Image Computing Velocardiofacial Syndrome as a Genetic Model for Schizophrenia Marek Kubicki DBP2,
Johns Hopkins University Center for Imaging Science 2006 Summary.
Biomedical Informatics Research Network The BIRN Architecture: An Overview Jeffrey S. Grethe, BIRN-CC 10/9/02 BIRN All Hands Meeting 2002.
NA-MIC National Alliance for Medical Image Computing Slicer Progress in 2009 Steve Pieper, Ph.D.
NA-MIC National Alliance for Medical Image Computing UCSD / BIRN Coordinating Center NAMIC Group Site PI: Mark H. Ellisman Site Project.
Department of Psychiatry, Department of Computer Science, 3 Carolina Institute for Developmental Disabilities 1 Department of Psychiatry, 2 Department.
NA-MIC National Alliance for Medical Image Computing NAMIC Core 3.1 Overview: Harvard/BWH and Dartmouth Structural and Functional Connectivity.
MGH Site Summary. MGH Tools Summary New Version of FreeSurfer New features Moving to open source BIRND-UP Improvements Batch processing, license free.
Surgical Planning Laboratory -1- Brigham and Women’s Hospital Slicer Tutorial 4 Module: DTMRI Data: Sample Slicer DTI Sonia Pujol,
Neuroimage Analysis Center
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
AVI Update Morphometry BIRN
Polina Golland Core 1, MIT
Ron Kikinis, MD Professor of Radiology, Harvard Medical School
Core 2 Progress Day 1 Salt Lake City
NAMIC Software Development Workshop
Ron Kikinis, MD Professor of Radiology, Harvard Medical School
3D Slicer Version 3.0 Update for mBIRN
Presentation transcript:

Collaborations and Architectures mBIRN Progress at BWH

BWH mBIRN Accomplishment Highlights Protocol-Neutral Segmentation with MIT –EM Brain Atlas Classifier hierarchical joint segmentation/registration tool –Lesion segmentation now available (used for MS) Facial Segmentation (BIRNDUP) with MGH –BIRNDUP Application Ready, Shown at Sedona –IRB Review of Defacing underway DTI Analysis –Data Format Standardization –Powerful Visualization and Analysis Tools: Registration, Cluster Atlas Shape Visualization: Awaiting refinement of clinical needs Integrated Visualization –“Slicer3” is Major Redesign to Support Interactive and Batch Processing –Modern Software Engineering Methodology –FreeSurfer Interoperability Query Atlas –New Slicer3-based framework –Structure/Function integration with Databases and BIRN Tools Portal Integration –Ongoing work with BIRN-CC, mBIRN, fBIRN Informatics Groups on to automate data retrieval (XNAT, HID, SRB, S3/EC2)

Example Uses of BIRN at BWH DTI Clustering MIT/BWH –JHU DTI data used by Lauren O’Donnell to test Multi-Subject DTI Automated Atlas Generation DTI Registration TU- Delft/BWH –JHU DTI data used by Matthan Caan for non-linear registration based on FA –Applied to Schizophrenia subjects by KangUk Lee of BWH DTI Aniostropy Creases BWH/Utah –JHU Data used by Gordon Kindlmann for automatic delineation of anatomical discontinuities Well Curated, High Quality, Shared Data Promotes Research! before affinenonlinear

BIRN Enabled BWH Collaborations National Alliance for Medical Image Computing (NA-MIC, Kikinis) –NIH Roadmap Effort to Promote Best Practices in Open Source Software Engineering Methodology for Medical Imaging –Emphasis on Facilitating use of Novel Algorithms by Clinical Researchers –Reengineered 3D Slicer is Major Deliverable (Slicer3) –BIRN Provides Pipeline, Grid Data/Compute National Center for Image Guided Therapy (NCIGT, Jolesz) –NCI/NCRR/NIBIB Imaging and Computing for Surgery and Interventions –Slicer3 is Major Imaging Platform Neuroimage Analysis Center (NAC, Kikinis) –Algorithms and Software Incubator for Neuroimaging –Source of Novel Techniques that are Adapted and Applied to BIRN Many One-to-One Collaborations with non-BIRN Sites rely on BIRN Infrastructure (Data Grid, Network, Compute Resources) –GE, Kitware, Inc., JHU CISST, CIMIT, SCI, CHB…

BWH Tools, Datasets, Studies… 3D Slicer Version 2.6 Includes Major BIRN Developments –EM Segmenter (low-level configurability) –EM Brain Atlas Classifier (ease of use) –DTMRI NRRD I/O Clustering ROI Tractography FA-based Registration –QueryAtlas Prototype –BIRNDUP Application Support –FreeSurfer Interoperability (input, output, volumes, surfaces, annotations) 3D Slicer Version 3 (in development) –Modern, Easily Extensible Architecture –Dynamic Query Atlas Interaction –Native FreeSurfer Support –Migration of Slicer 2.6 Functionality to Slicer3 Ongoing Open Source, No Restrictions on Use Workshops, Tutorials, Data Sets available at the Slicer 101 page – –Includes structural, fMRI, DTI data; detailed data import and use instructions; example analysis scenarios, and more…

Included in the current 3D Slicer 2.6 Applied to white matter lesion segmentation in Multiple Sclerosis. MPRAGE and FLAIR Available to support BELL Data courtesy Istvan Csapo, Charles Guttmann, Center for Neurological Imaging, Brigham and Women’s Hospital. Algorithm by Kilian Pohl, MIT/BWH/Isomics EM Segmenter: enabled by the Protocol Neutral Segmentation aims of the mBIRN

BWH User ROI Guided DTI Tractography Input Tracts + ROIsUncinate Fasciculus Inferior Occipital Frontal Fasciculus Convolution-Based Tract Identification for Atlas Building Driven by mBIRN User Requests (UCI) Included in the current 3D Slicer 2.6 Data courtesy of Marek Kubicki and Martha Shenton, Psychiatry Neuroimaging laboratory, Brigham and Women’s Hospital. Algorithm by Raul San Jose, BWH.

BIRN Query Atlas in Slicer3 Re-Architecture of the QueryAtlas –Advanced Label Features Built-In –Real-Time Interaction with Labels –“Right Click” on Models and Images to Initiate Queries –Based on NA-MIC Software Engineering Methodology –Anatomy-Based Access to Web Resources Integrates with BIRN IT Efforts –Auto Convert and Load BIRN Data Leverages mBIRN Data Formats and Analysis (FreeSurfer) fBIRN is Building Functional QueryAtlas Integrated with mBIRN QueryAtlas