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

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

DATA!

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

Mock-up model

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

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