1 / 10

Sandeep Bhat Systems Bioimaging Lab, UCSB Presentation for ENGR 103, Nov 20, 2008

Blind Source-Separation for Heart Wall and Erythrocyte Motion Estimation in the Beating Embryonic Heart. Sandeep Bhat Systems Bioimaging Lab, UCSB Presentation for ENGR 103, Nov 20, 2008 sandeepkbhat@ece.ucsb.edu. Agenda. Motivation Problem Setup Algorithm stages Results Conclusion.

mahdis
Download Presentation

Sandeep Bhat Systems Bioimaging Lab, UCSB Presentation for ENGR 103, Nov 20, 2008

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Blind Source-Separation for Heart Wall and Erythrocyte Motion Estimation in the Beating Embryonic Heart Sandeep Bhat Systems Bioimaging Lab, UCSB Presentation for ENGR 103, Nov 20, 2008 sandeepkbhat@ece.ucsb.edu

  2. Agenda • Motivation • Problem Setup • Algorithm stages • Results • Conclusion

  3. Motivation • Study of model organisms • Embryonic development, toxicology, specific gene function. • Zebrafish embryo is transparent • Live imaging of embryos. • Fluorescence microscopy (FM) • Bright field microscopy (BFM) • The algorithm aids BFM imaging of developing zebrafish heart.

  4. Problem Setup • Input: BFM image sequence • Spanning several cardiac cycles. • Desired output: Two image sequences • Spanning one period (cardiac cycle) • One showing only the heart morphology • The other with only the transient structures (Red Blood Cells)‏

  5. Algorithm Stages • Three stages: • Pre-processing • Separation algorithm • Post-processing

  6. Separation Algorithm • Temporal alignment • Heart-wall: • “Periodic” • Mean/Median filtering • Red Blood Cells: • Not periodic • Subtraction/Variance

  7. Post-processing • Flow analysis using FlowJ

  8. Results • Testing with synthetically generated data. • Testing with synthetically generated data. • frequency components. • (a) Mean+Subtraction (b) Mean+Variance • (c) Median+Subtraction (d) Median+Variance

  9. Results (contd.) • BFM images of zebrafish heart

  10. Conclusion

More Related