1. LONI Pipeline Jagadeeswaran LONI,UCLA

2. 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

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

4. Our Contribution Pipeline Software –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

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

6. Pipeline v4 Progress Revamped version 4 - Flexible, extensible data model - Modular redesign - Powerful threading model - Minimal Synchronization - Elegant/ easy to use user interface - Redesigned XML Flexible architecture Can run locally on laptop/desktop Client-server option available Client can connect to LONI server - 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

7. Tools Integration Pipeline v4 batch mode - Can execute complete (data-bound) workflows using command line (“-e” option) - External Tool (eg: 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 Module Library (Ontology) Continue to describe/add Freesurfer modules In Progress - Getting list of all parameters - Providing user feedback on progress (status messages) - XNAT toolkit

8. Release a robust version Successful integration with Slicer, XNAT Provide easy access to computational resources through Pipeline Build useful workflows with BIRN collaborators Documention/ Manuals/ Wiki Hands on user training sessions http://pipeline.loni.ucla.edu/ –Latest distribution –Forum: Kudos/ bug reports Goals