Wbc cmc talk

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Wbc cmc talk

  1. 1. Automated Tracking of Colliding Cells Nhat ‘Rich’ Nguyen Mentors : Min C. Shin, PhD & Toan T. Huynh, MD
  2. 2. Medicine Testing test object microscope cells video
  3. 3. Cells <ul><li>White Blood Cells </li></ul><ul><li>Role in Immune System </li></ul><ul><li>Motion </li></ul><ul><ul><li>Flowing </li></ul></ul><ul><ul><li>Rolling </li></ul></ul><ul><ul><li>Staying static </li></ul></ul>
  4. 4. Tracking Cells Biologist interpret cell motions by tracking a few cells ?
  5. 5. Why few ? Tedious Expensive Subjective
  6. 6. Automated Tracking Cells Tedious Expensive Subjective Little effort* Inexpensive Objective
  7. 7. Colliding Cells Many cells moving at a wide range of speed  collision <ul><li>Motion </li></ul><ul><li>Appearance </li></ul>
  8. 8. Automated Detection Radial Mean Kernel Background Frames A typical cell Difference <ul><li>Based on appearance: Radial Mean </li></ul><ul><li>Based on movement: Background Subtraction </li></ul>
  9. 9. Automated Tracking Kalman smooth motion Collision abrupt motion
  10. 10. Multiple Hypothesis
  11. 11. Back-to-back Collision Eden’s Method Our Method Broken tracks Robust tracks
  12. 12. Roll-around Collision Eden’s Method Our Method Broken tracks Robust tracks
  13. 13. Conclusion <ul><li>A method for reliably tracking multiple cells during collision. </li></ul><ul><li>Incorporated Kalman filter and multiple hypotheses for cases of no-collision, collision, during-collision and post-collision. </li></ul><ul><li>Improve when is compared to a previously proposed multiple cell tracking method. </li></ul>
  14. 14. Related Publications <ul><li>S. J. Schmugge, S. Keller, N.R. Nguyen, R. Souvenir, T. H. Huynh, M. Clemens, M. C. Shin. &quot;Segmentation of Vessels Cluttered with Cells using a Physics based Model&quot;. 11th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), New York, September 6-10 2008. </li></ul><ul><li>(submitting) N.R. Nguyen, S. Keller, T.H. Huynh, M.C. Shin. “Tracking Colliding Cells”. Microscopic Image Analysis with Applications in Biology (MIAAB), NIH Campus, Bethesda, MD September 03-04 2009. </li></ul>
  15. 15. QUESTIONS / SUGGESTIONS
  16. 16. Compare against Eden et al RMSE : root mean squared errors of position PTP : Positions tracked percentage TL : Track length As we compare our method to a previously published paper of Eden et al Collision Cases Only All Data Eden’s Method This Method Improvement Eden’s Method This Method Improvement RMSE (pixel) 14.6 8.9 40% 7.3 7.0 4% PTP (%) 61.5 93.0 51% 71.9 80.6 12% TL (frames) 7.3 12.6 71% 8.6 13.9 60%

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