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October Monthly Call October 13, 2011 Andrew J. Buckler, MS Principal Investigator

October Monthly Call October 13, 2011 Andrew J. Buckler, MS Principal Investigator. Agenda. Domain, Web site, and License Review of On-site Meeting at NCI App updates: Specify Formulate Execute Analyze Package. On-screen demonstration.

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October Monthly Call October 13, 2011 Andrew J. Buckler, MS Principal Investigator

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  1. October Monthly Call October 13, 2011 Andrew J. Buckler, MS Principal Investigator

  2. Agenda • Domain, Web site, and License • Review of On-site Meeting at NCI • App updates: • Specify • Formulate • Execute • Analyze • Package QI-Bench: Optimizing Performance through Characterization

  3. On-screen demonstration Domain, Web site, and License(see www.qi-bench.org) QI-Bench: Optimizing Performance through Characterization

  4. Value proposition of QI-Bench(as expressed to NCI partners) • Efficiently collect and exploit evidence establishing standards for optimized quantitative imaging: • Users want confidence in the read-outs • Pharma wants to use them as endpoints • Device/SW companies want to market products that produce them without huge costs • Public wants to trust the decisions that they contribute to • By providing a verification framework to develop precompetitive specifications and support test harnesses to curate and utilize reference data QI-Bench: Optimizing Performance through Characterization

  5. Opportunities to Demonstrate Meaningful Use of caBIG Technologies • Coordinated program relating vocabulary and physical standards • Driving use case for swBIG • Contribute to so-far elusive collaboration infrastructure for QIN • Augment TRANSCEND’s current contributions in genome-based biomarkers to imaging • Testbed example for Open Source Development Initiative QI-Bench: Optimizing Performance through Characterization

  6. QI-Bench Program Needs (as expressed to NCI partners) Specify (partially funded) • Utilize robust backend database using RDB/RDF SPARQL in place of current XML • Complete app, incl. integrate presently separate AIM and QIBO portions Formulate (least funded) • Integrate NBIA Connector, NIST DICOM-based query, and caB2B • Use QIBO for OBO concept driven information modeling (w/ BRIDG and LS-DAM) Execute (funded) • Support serial studies / change analysis (augmenting absolute measures) • Black-box API harness (augmenting white-box reference methods) • Support reader studies (using ClearCanvas with AIM) • Analyze (least funded) • Issues as identified in gap analysis vis-à-vis current MVT • Extend schema as per W3C best practice for certainty, severity, strength, relevance relations to support outcome studies • Package (partially funded) • Converge imaging and device standards in SDTM QI-Bench: Optimizing Performance through Characterization

  7. On-screen demonstration Specify Prototype(see http://specify.qi-bench.org/user_session/new) QI-Bench: Optimizing Performance through Characterization

  8. Thoughts on Formulate QI-Bench: Optimizing Performance through Characterization

  9. Thoughts on Formulate QI-Bench: Optimizing Performance through Characterization

  10. Use of Execute for 3A Challenge • pilot3A: • QA/QC • Lab Protocol • Logistics: • Participant agreement • Registrar • Timeline • Pivotal • Spreadsheet -> metadata QI-Bench: Optimizing Performance through Characterization

  11. Analyze Status • File System Engineering\User Needs\Definitive Metrology Terms for QI 2011-09-26.docx • File ..\QIBA and Quantitative Imaging\Approach to Compliance 2011 08 15.ppt QI-Bench: Optimizing Performance through Characterization

  12. Package: NCI-CDISC Imaging CRF Project QI-Bench: Optimizing Performance through Characterization

  13. Package: Metadata Table Mappings NBIA DE ACRIN Reference Point to NCIt, RadLex, etc. here CDASH/SDTM Variables DICOM Tag SDTM Role ISO8601 & 21090 QI-Bench: Optimizing Performance through Characterization

  14. During the Coming Month Annual Report to NIST • Structured similarly to semi-annual User View Priorities • Lab Protocol • StudyDescription spreadsheet as Reference Data Set Manager metadata Developer Toolset • Data center in place: 24 Processor cores, 40 GB Main Memory, 12 TB Disk storage, Red Hat Linux, Windows Server 2008 R2, and Mac OS X • Next up: Git and Jira • Continued Engagement with caBIG • Open Source Development Initiative • Driving use case for semantic infrastructure • Deployment on TCGA and/or TRANSCEND programs • QI-Bench Face to Face • As combined function of 3A Challenge Workshop • Tuesday November 15 in Gaithersburg QI-Bench: Optimizing Performance through Characterization

  15. QI-Bench: Optimizing Performance through Characterization

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