Xiutao Shi1, Tejan Diwanji1, Karen E. Mooney1, Warren D. D'Souza1, Nilesh Mistry1
1Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, United States
Accurate tracking of tumors in lung cancer is crucial for safe and effective delivery of radiation treatment. In the current study, an automated template matching technique has been applied to track respiration induced tumor motion based on cine MRI images. The performance of the technique is compared to manual estimates of tumor position. For tumors smaller than 50 mm in the longest dimension, the prediction error is < 3.9 mm (less than two pixels) and is in the order of intra-operator or inter-operator variability during manual tracking. Further hardware developments can enable clinical translation.