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. Author manuscript; available in PMC: 2018 Apr 21.
Published in final edited form as: Phys Med Biol. 2017 Mar 21;62(8):3065–3080. doi: 10.1088/1361-6560/aa6393

Table 1.

A list of mathematical symbols used in the Kalman filter, and what they represent in the proposed kV-based 3D tumor tracking application.

Symbol Kalman filter kV-based 3D tumor tracking
k Current time frame Current imaging frame
k|k−1,k|k Predicted/updated state Predicted/updated 3D tumor position
Pk|k−1,Pk|k Predicted/updated state covariance matrix Predicted/updated covariance matrix of the distribution of 3D tumor positions
zk Measurement 2D tumor position on the kV image measured using template matching
hk(․) Measurement response function 3D-to-2D forward-projection function
Qk Prediction covariance matrix Uncertainty attributed to the respiratory-correlated prediction model
Rk Measurement covariance matrix Uncertainty attributed to template matching
Kk Kalman gain The weightings of how much the template matching result is used to correct the prediction
Fk Jacobian of the prediction model Jacobian of the respiratory-correlated prediction (reduced to I)
Hk Jacobian of the measurement response function Jacobian of the 3D-to-2D forward-projection function