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Abstract #4317

Three-dimensional lung tumour motion tracking using an advanced template matching technique: Texture Reformatted Angle Correlation (TRAC)

Kevin K. Zhang1,2, Shivani Kumar2,3, Robba Rai3, Armia George3, Bin Dong1,4, and Gary P. Liney1,2,3,4

1Ingham Institute for Applied Medical Research, Sydney, Australia, 2South Western Sydney Clinical School, University of New South Wales, Sydney, Australia, 3Department of Medical Physics, Cancer Therapy Centre, Liverpool Hospital, Sydney, Australia, 4Centre for Medical Radiation Physics (CMPR), University of Wollongong, Sydney, Australia

Real-time lung tumour tracking and motion analysis is important in MRI-based radiotherapy planning to inform treatment margins and to permit accurate delivery for developing MR-Linac technology. This work describes a template matching approach to provide 3D motion assessment of lung tumours from real-time 2D images. Compared to previous work the TRAC technique utilises a multi-angled correlation analysis of the target region to correctly identify the tumour position. Results in both a moving phantom and in lung cancer patients show that the technique is feasible, accurate and can be easily adopted in widely used single plane cine imaging.

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