Feature-based CBCT self-calibration for arbitrary trajectories.

Christian TönnesTom RussLothar R SchadFrank G Zöllner

Published in: International journal of computer assisted radiology and surgery (2022)

The proposed algorithm can determine the parameters of the projection orientations for arbitrary trajectories with calibration quality comparable to state-of-the-art algorithms, but faster and with higher tolerance to errors in the initially guessed parameters.

Keyphrases

machine learning
deep learning
depressive symptoms
image quality
low cost
patient safety
neural network
emergency department