nitrc:Agenda2009
From NITRC Wiki
NITRC Enhancement Grantee Meeting
June 18, 2009
HBM 2009 Satellite Activity
Pacific Room B
San Francisco Marriott
Link to List of Funded Projects
Introduction to the Agenda
The meeting will be designed around four theme areas related to the enhanced dissemination of neuroimaging tools and resources. We will have a few (3-5) talks on each theme and then ample time for questions, answers, and discussion. The talks will be presentations on the best practices and lessons you’ve learned or the unmet challenges regarding the particular theme. Each presentation will be approximately 10 minutes long and will focus on the particular theme, without providing a broad overview of your funded project. Following the series of presentations on a theme, the presenters will serve as a panel and there will be 20-30 minutes of group discussion on the topic. We’ll also have a talk from the NITRC Team and a session in which you will be able to give us, the NIH project team that manages the NITRC initiative, feedback on the program (the website, the supplement grants, the meetings, etc.).
8:00 Continental breakfast
8:30 Introduction:
- Welcome and Overview of Currently Funded Projects Zohara Cohen, NIBIB, NIH
- NIH Blueprint for Neuroscience Research: Update on Current Activies Michael Huerta, NIMH, NIH (slides)
9:00 Theme I: Users & Customer Service
- Moderated by
- James Luo, Program Director, NIBIB, NIH
- MRIcroGL: Using scripts and videos to train users Chris Rorden University of South Carolina / Georgia Tech MRIcron (slides)
- Integrating GUI and Command Line tool development Xenios Papademetris, Yale University Bioimage Suite on NITRC, Project Webpage (slides)
- fMRI in animal models, and other small user islands Joe Mandeville, Mass. General Hospital (slides)
- User driven software development Mary A. Raven, University of California, Santa Barbara, Neuroscience Research Institute [1] (slides)
10:00 Users & Customer Service: Open discussion
10:15 Coffee break
10:30 Theme II: Lending Credence to Your Results: Study Design and Validation
- Moderated by
- Zohara Cohen, Program Director, NIMH, NIH
- fMRIPower - Calculating power for group fMRI studies Jeanette A. Mumford, Department of Psychology, University of California, Los Angeles fMRIPower (slides)
- Quality assurance in fMRI Susan Whitfield-Gabrieli, Massachusetts Institute of Technology, Cambridge, MA(slides)
- A survey of validation techniques for image segmentation and registration, with a focus on STAPLE (Simultaneous Truth and Performance Level Estimation) Simon K. Warfield, Children's Hospital, Harvard Medical School STAPLE (slides)
11:30 Validation: Open discussion
12:00 Lunch on your own
1:00 New, improved, or just tried-and-true features on NITRC.org
- David Kennedy, NITRC Customer Liaison
1:30 Theme III: Algorithm Expansion
- Moderated by
- Michael Huerta, Associate Director of NIMH, NIH
- Surface-based Morphometry using SPHARM Li Shen, Indiana University School of Medicine Li Shen's Home Page (slides)
- Collaborative Online Labeling of Medical Images Bennett Landman, Johns Hopkins University NITRC project
- Added New Features to Our DTI Package Dongrong Xu, Columbia University (slides)
- Pipedream and ANTS Extensions Brian Avants, University of Pennsylvania PipeDream ANTS (slides)
2:30 Algorithm Expansion: Open discussion
2:45 Coffee Break
3:00 Theme IV: Data Interoperability
- Moderated by
- Yuan Liu, Office Chief, NINDS, NIH
- Lightweight, Easy-To-Use Neuroimaging Data Management Tools Owen Carmichael, University of California, Davis IDeA Lab
- Pipelined framework for efficient analysis of imaging data and comparison of software Satrajit Ghosh, Massachusetts Institute of Technology RapidArt (slides)
- Data interoperability in DTI-TK for DTI analysis & A preview of ITK-SNAP 2.0 Hui (Gary) Zhang, Penn Image Computing & Science Laboratory (PICSL), University of Pennsylvania DTI-TK ITK-SNAP (slides)
- Pickatlas Data interoperability Joe Maldjian, Wake Forest University pickatlas (slides)
- Derived data storage and exchange workflows for large-scale neuroimaging analyses David Keator, Univ. of California, Irvine hid
4:00 Data Interoperability: Open discussion
4:30 How can the NIH improve your experience with NITRC.org?
- James Luo, NIBIB, NIH
5:00 NITRC Meeting adjourned
6:00 PM Opening Ceremonies for HBM and Talairach Lecture
- Morality and the Social Brain
- Patricia Churchland
- Department of Philosophy, University of California, San Diego
7:30 HBM Welcome Reception in Yerba Buena Ballroom (Lower B2 Level)
Theme Areas Described
Last year’s themes were: Data, Algorithms, Users, and Software Engineering (agenda from 2008 meeting). I’ve decided to tweak those slightly and to reorder them. This year’s themes will be: Users & Customer Service, Validation, Algorithm Expansion, and Data. Users & Customer Service is an expansion of last year’s topic on Users. Some questions that come to mind are: What mechanisms does your group use for feedback, bug fix requests, etc? How do you train your users? What tutorials, demos, and test data sets do you provide to your users? Tell us about how your project handles batch processing? Have you done anything interesting with your GUI? In the session on Validation, we’d like to have talks on everyone’s favorite topic: what do you in the absence of gold-standard data? Do you work with phantoms? Synthetic data? Manual input from experts? A consensus method? Do you have anything else to say about validation? Last year’s theme of Algorithms has become Algorithm Expansion. While you’ve all been involved in the development of algorithms for fMRI data analysis, image segmentation, labeling and registration, atlas building, and population statistics, you’re all also specifically funded to improve your tools to make them more useful to the broad neuroimaging community. Some of you have taken your core algorithms and extended them so that the tools could be applied more broadly. If your project fits that description, we’d like to hear about it here. How did you determine the need for extension? Was your original algorithmic approach easily generalized? Are there other target user communities that you still plan to address? What advice do you have for others? Finally, the Data theme includes data transfer from the point of acquisition to the point of analysis; data management and metadata; input/output formats; and anything else you think we could learn from your experience with data management.
