A novel external/internal tumor tracking approach to compensate for respiratory motion baseline drifts.

Marta Krystyna GiżyńskaYvette SeppenwooldeWarren KilbyBen J M Heijmen

Published in: Physics in medicine and biology (2023)

For equal numbers of acquired X-ray images, MMT greatly improved tracking accuracy compared to LMT, especially in the presence of baseline drifts. Even with almost 50% less acquired X-ray images, MMT still outperformed LMT in internal target position prediction accuracy.

Keyphrases

deep learning
convolutional neural network
high resolution
dual energy
optical coherence tomography
electron microscopy
computed tomography
high speed
machine learning
magnetic resonance
contrast enhanced