User:Jadrian Miles/OKRs/Summer 2012

• Meta-objective: make measurable progress toward the dissertation.
  • Key result: TODO
• Meta-objective: concretely demonstrate the success of the real-problem technique.
  • Demonstrate (by pictures) specific challenging regions in which the multi-scale approach reconstructs structures better than two competitors.
  • Demonstrate (numerically) that image reconstruction, as measured by chi-squared goodness-of-fit on real data, is better than two competitors.
  • Demonstrate (in prose, or maybe with a quick user study) that selection tasks for specific brain structures are easier and more precise than with ROI+tractography methods.
    • The real problem as originally formulated has been abandoned as impractical in the timeframe I have.
• Objective: Write and submit the tract noise paper in a timely manner.
  • Key result: Experiments 1 & 2, plus analysis and figures, are finished by 06/19.
  • Key result: Experiment 3 is finished within two weeks of the IIT data posting online.
  • Key result: Complete first draft to dhl within a week of finishing experiment 3.
  • Key result: Paper submitted to MRM by end of August.
    • Later experiments were delayed, and finally the results were negative. Considering rebooting for the fall.
• Objective: Design, implement, and evaluate a curve-bundle model.
  • Key result: Bundle model initialized from existing cluster data by 06/22.
  • Key result: Bundle joining and splitting implemented by 06/29.
    • This line of research has been abandoned as impractical in the timeframe I have.