Laboratory of Neuro Imaging UCLA

Slides:



Advertisements
Similar presentations
Slicer3 for developers – Sonia Pujol, Ph.D. -1- National Alliance for Medical Image Computing Programming into Slicer3 Sonia Pujol, Ph.D. Surgical Planning.
Advertisements

Pulan Yu School of Informatics Indiana University Bloomington Web service based Varuna.Net.
OMII-UK Steven Newhouse, Director. © 2 OMII-UK aims to provide software and support to enable a sustained future for the UK e-Science community and its.
MITK Diffusion (under the hood)
Surgical Planning Laboratory Brigham and Women’s Hospital Boston, Massachusetts USA a teaching affiliate of Harvard Medical School 3D Slicer And The NA-MIC.
National Alliance for Medical Image Computing User Desktop Slicer 3.0 Architecure AlgorithmsITKVTK Slicer Modules VTK Apps Using ITK.
Data Grids: Globus vs SRB. Maturity SRB  Older code base  Widely accepted across multiple communities  Core components are tightly integrated Globus.
RedDot Web Content Management Software David Yamamoto UCLA Library TechTalk March 26, 2002.
NA-MIC National Alliance for Medical Image Computing Informatics tools & services for NA-MIC Dan Marcus Neuroinformatics Research Group.
User Group 2015 Version 5 Features & Infrastructure Enhancements.
Software Process for Distributed Teams KITWARE, Inc.
NA-MIC National Alliance for Medical Image Computing Core 1b – Engineering End-user Platform Steve Pieper Isomics, Inc.
NA-MIC National Alliance for Medical Image Computing Introduction Ron Kikinis, M.D.
NA-MIC National Alliance for Medical Image Computing IGT Software Design and Process Bill Lorensen GE Research.
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 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 NA-MIC Software Engineering Bill Lorensen GE Research NA-MIC Engineering Core PI.
Department of Biomedical Informatics Service Oriented Bioscience Cluster at OSC Umit V. Catalyurek Associate Professor Dept. of Biomedical Informatics.
NA-MIC National Alliance for Medical Image Computing Why NITRC Matters to NA-MIC Steve Pieper, PhD.
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 Slicer4 CLI Slicer Execution Model.
Event-Based Hybrid Consistency Framework (EBHCF) for Distributed Annotation Records Ahmet Fatih Mustacoglu Advisor: Prof. Geoffrey.
Christian Chace Patent Process Reengineering Team December 8, 2010 Patent Process Reengineering Team and Patent End-To-End Processing Team The Biotechnology.
NA-MIC National Alliance for Medical Image Computing The NA-MIC Kit: ITK, VTK, Pipelines, Grids and 3D Slicer as An Open Platform for.
Mouse BIRN - Jagadeeswaran Rajendiran Pipeline Processing Environment.
NA-MIC National Alliance for Medical Image Computing UCSD: Engineering Core 2 Portal and Grid Infrastructure.
Introduction to soarchitect. agenda SOA background and overview transaction recorder summary.
GAAIN Virtual Appliances: Virtual Machine Technology for Scientific Data Analysis Arihant Patawari USC Stevens Neuroimaging and Informatics Institute July.
GCRC Meeting 2004 BIRN Coordinating Center Software Development Vicky Rowley.
NA-MIC National Alliance for Medical Image Computing Isomics, Inc. Steve Pieper.
NA-MIC National Alliance for Medical Image Computing Process-, Work-Flow in Medical Image Processing Guido Gerig
Service Updates Survey results Web site refresh Directory integration project Debbie Campbell Director Collaborative Services Branch.
6/23/2005 R. GARDNER OSG Baseline Services 1 OSG Baseline Services In my talk I’d like to discuss two questions:  What capabilities are we aiming for.
Neuroimaging Data Provenance Using the LONI Pipeline Workflow Environment Allan MacKenzie-Graham IPAW2008 Arash Payan Ivo Dinov John Van Horn Arthur W.
AWT Ivo D. Dinov, Ph.D., CCB Chief Operations Officer PI: Arthur W. Toga, Ph.D. Co-PI: Tony F. Chan, Ph.D.
Status Organization Overview of Program of Work Education, Training It’s the People who make it happen & make it Work.
Biomedical Informatics Research Network BIRN Workflow Portal.
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.
LONI Pipeline Jagadeeswaran LONI,UCLA. Site PI: Arthur W Toga Director, Laboratory of Neuro Imaging Co-Director, Brain Mapping Center Director, Training.
Pipeline Execution Environment Laboratory of NeuroImaging UCLA.
The library is open Digital Assets Management & Institutional Repository Russian-IUG November 2015 Tomsk, Russia Nabil Saadallah Manager Business.
Infrastructure InfrastructureInfrastructure Utah CIBC EAB Meeting 2008.
NA-MIC National Alliance for Medical Image Computing Programming Week Kickoff MIT, June 27, 2005.
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 UCSD / BIRN Coordinating Center NAMIC Group Site PI: Mark H. Ellisman Site Project.
March 18th, 2005http://jhh.opi.upmc.edu/main/cabig/BestPracticesSig1 caBIG Architecture Working Group Face-To-Face Meeting Best Practices SIG March 18th,
5/29/2001Y. D. Wu & M. Liu1 Content Management for Digital Library May 29, 2001.
TeraGrid Capability Discovery John-Paul “JP” Navarro TeraGrid Area Co-Director for Software Integration University of Chicago/Argonne National Laboratory.
NA-MIC National Alliance for Medical Image Computing Core 1b – Engineering Data Management Daniel Marcus Washington University.
BOF-1147, JavaTM Technology and WebDAV: Standardizing Content Management Java and WebDAV Juergen Pill Team Leader Software AG Remy Maucherat Software Engineer.
Paths to a Reference Architecture for an Open Bio Grid Rick Stevens.
Evolving Architecture at NSIDC
VisIt Project Overview
Customizing ArcGIS Online Data Basin Project Overview
TeraGrid Information Services Developer Introduction
GWE Core Grid Wizard Enterprise (
Pipeline Execution Environment
Core 2 Progress Day 1 Salt Lake City
GGUS Partnership between FZK and ASCC
Project tracking system for the structure solution software pipeline
NAMIC Software Development Workshop
Fedora Filling the “Sweet Spot” in the Information Landscape
Enterprise Program Management Office
UCSD / BIRN Coordinating Center NAMIC Group
Ron Kikinis, MD Professor of Radiology, Harvard Medical School
LONI Pipeline Integration/ UNC shape analysis
Slicer Timeline GUI Thread Processing Thread
QoS Metadata Status 106th OGC Technical Committee Orléans, France
Presentation transcript:

Laboratory of Neuro Imaging UCLA

Site PI: Arthur W Toga Director, Laboratory of Neuro Imaging Co-Director, Brain Mapping Center Director, Training Program in Neuroimaging Editor-in-Chief, NeuroImage Principal Investigator, CCB

Core 2 Team Jagadeeswaran Rajendiran (NAMIC representative) Arash Payan Jia Wei Tam Celia Cheung Cornelius Chojatkashani (Neurology representative)

Our Contribution Pipeline Software User-driven application development Collect user requirements/ feedback Design, develop & maintain product User-driven application development Software is continuously evolving with input from internal users and external collaborators Collaborators have access to LONI resources Hands-on user training sessions

Our Contribution (contd...) Pipeline Application Front end to LONI Grid (600 processors) Dissemination SIG meetings (every two weeks) Hands on user training sessions Documentation/ Wiki/ Manuals

NAMIC-specific Participation Pipeline Application Allow for extensible data model Provide robust interface to LONI Grid Hands on user training sessions UNC Collaboration Shape analysis pipelines NAMIC Kit Interoperability Slicer 3 integration SCIRun integration

Pipeline v4 Progress Revamped version 4 Client-Server architecture - Flexible, extensible data model - Modular redesign - Powerful threading model - Minimal Synchronization - Elegant/ easy to use user interface - Redesigned XML Client-Server architecture - Highly scalable (> 1000 inputs) Any DRMAA grid with: - LONI’s Cerebro: Sun Xeon Grid Sun Microsystems is collaborating with LONI in Grid development to support the Pipeline

SLIPIE Progress Pipeline v4 batch mode In Progress - Can execute complete (data-bound) workflows using command line (“-e” option) - Slicer can query Pipeline for list of required parameters - List of parameters expressed in readable XML - Allows for binding parameters on the command line - Batch mode tied to local execution In Progress - Getting list of all parameters - Providing user feedback on progress (status messages)

Future Plans Release a robust version NAMIC Kit Successful integration with Slicer 3/ SCIRun Provide NAMIC with access to computational resources through Pipeline Build useful workflows with NAMIC collaborators Documention/ Manuals/ Wiki Hands on user training sessions