Paper
12 April 2005 4D motion models over the respiratory cycle for use in lung cancer radiotherapy planning
J. R. McClelland, A. G. Chandler, J. M. Blackall, S. Ahmad, D. B. Landau, D. J. Hawkes
Author Affiliations +
Abstract
Respiratory motion causes problems of tumour localisation in radiotherapy treatment planning for lung cancer patients. We have developed a novel method of building patient specific motion models, which model the movement and non-rigid deformation of a lung tumour and surrounding lung tissue over the respiratory cycle. Free-breathing (FB) CT scans are acquired in cine mode, using 3 couch positions to acquire contiguous 'slabs' of 16 slices covering the region of interest. For each slab, 20 FB volumes are acquired over approx 20s. A reference volume acquired at Breath Hold (BH) and covering the whole lung, is non-rigidly registered to each of the FB volumes. The FB volumes are assigned a position in the respiratory cycle (PRC) calculated from the displacement of the chest wall. A motion model is then constructed for each slab, by fitting functions that temporally interpolate the registration results over the respiratory cycle. This can produce a prediction of the lung and tumour within the slab at any arbitrary PRC. The predictions for each of the slabs are then combined to produce a volume covering the whole region of interest. Results indicate that the motion modelling method shows considerable promise, offering significant improvement over current clinical practice, and potential advantages over alternative 4D CT imaging techniques. Using this framework, we examined and evaluated several different functions for performing the temporal interpolation. We believe the results of these comparisons will aid future model building for this and other applications.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. R. McClelland, A. G. Chandler, J. M. Blackall, S. Ahmad, D. B. Landau, and D. J. Hawkes "4D motion models over the respiratory cycle for use in lung cancer radiotherapy planning", Proc. SPIE 5744, Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display, (12 April 2005); https://doi.org/10.1117/12.595144
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CITATIONS
Cited by 11 scholarly publications and 1 patent.
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KEYWORDS
Motion models

Lung

Data modeling

Modeling

Data acquisition

Radiotherapy

Skin

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