Abstract #4317

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

Kevin K. Zhang^1,2, Shivani Kumar^2,3, Robba Rai³, Armia George³, Bin Dong^1,4, and Gary P. Liney^1,2,3,4

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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