1. Modeling rat bloodstream using fluorescence imaging data
Intermediate report
Modeling rat bloodstream using fluorescence imaging data

2. The task is to build model that would predict the amount of bloodstream 0.6-1 s ahead
Alander et al. (2012)

3. DATA!

4. Creating pure black box model is difficult
ARMA seems to be no good

5. Mock-up model

6. Kalman filter Model of ICG dynamics is presented in literature
Concentration of ICG in vascular and tissue regions are states, their weighted sum is output
States and system parameters can be estimated using (extended) Kalman filter approach

7. What’s next
Weeks 3–5: Familiarization to the theory and methods and project planning. Weeks 6–7: Investigation on the data and selecting the methods. Weeks 8–14: Iterative modeling and testing. (week 9: midterm report)
No big problems with the schedule… yet
Directions from instructor Jarmo Alander