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Global View of All Collected Data

Global View of All Collected Data. Phantom Data from all sites Duke, Echosens, Langevin, Mayo, Philips, Siemens, SSI, UCSD, U Wisconsin, U Michigan Each site’s data is imported and ‘cleaned’ and combined on one Excel spreadsheet Analyzed in JMP 5.1. Global View of All Collected Data.

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Global View of All Collected Data

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  1. Global View of All Collected Data • Phantom Data from all sites • Duke, Echosens, Langevin, Mayo, Philips, Siemens, SSI, UCSD, U Wisconsin, U Michigan • Each site’s data is imported and ‘cleaned’ and combined on one Excel spreadsheet • Analyzed in JMP 5.1

  2. Global View of All Collected Data • Phantom Data from all sites • Duke, Echosens, Langevin, Mayo, Philips, Siemens, SSI, UCSD, U Wisconsin, U Michigan • Each Data Point is Mean of 10 measurements • Red quantiles: 10/90%, 25/75%, Median • Includes ‘Hard’ and ‘Soft’ • Philips’ phantom damaged • Phantoms confounded w/ site

  3. Soft Phantom Analysis 3/3

  4. Soft Phantom Analysis 1/3 • r

  5. Soft Phantom Analysis 2/3 • Need to recheck Echosens data SSI Siemens

  6. Soft Phantom Analysis 2/3 Duke Mayo

  7. Soft Phantom Summary • To Do • Appraiser is not a factor in all analysis • ANOVA is missing DoF, so concern over providing estimates • Even after eliminating Echosens data, residual plots and model are suspicious • Continue analysis within site and within system for further insights

  8. Hard Phantom Analysis 1/3

  9. Hard Phantom Analysis 2/3

  10. Hard Phantom Analysis 3/3 SSI Siemens

  11. Hard Phantom Analysis 3/3 Duke Mayo

  12. Summary • Summary • Appraiser is not a factor in all analysis • Seem to be a depth dependency • To Do • Finish ANOVA Analysis • Contribute to understanding of results and outliers Do analysis for each system • Determine how to analyze Duke – Phantom Measure

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