Abstract #3942

Semiautomated quantitative analysis of swallow function using dynamic MRI with image registration and intensity analysis

Timothy Bray^1,2, Ruaridh Gollifer^1,3, Simon Morley², Susan Jawad², Roganie Govender⁴, Stuart A Taylor^1,2, Nicholas Hamilton⁴, and David Atkinson¹

¹Centre for Medical Imaging, University College London, London, United Kingdom, ²Department of Imaging, University College London Hospital, London, United Kingdom, ³Medical Physics, University College London Hospital, London, United Kingdom, ⁴Head and Neck Academic Centre, University College London, London, United Kingdom

Swallowing dysfunction (dysphagia) is a common problem and a major cause of morbidity in patients who have undergone radiotherapy for head and neck cancer. However, the pathophysiological basis of dysphagia in these patients is poorly understood and may differ between patients, creating a barrier to developing effective treatment strategies. Improved (and ideally quantitative) methods for characterising swallow function are therefore needed. We describe a method for imaging and analysis of pharyngeal and laryngeal motion during the swallow, based on joint image registration and modelling of intensity changes over a dynamic image series.

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