Abstract #3177

Realistic dynamic speech numerical phantom for the evaluation of real-time MRI acquisition and reconstruction methods

Joseph Martin^1,2, Redha Boubertakh^1,3, Matthieu Ruthven¹, and Marc E Miquel^1,3

¹Clinical Physics, Barts Health NHS Trust, London, United Kingdom, ²Medical Physics and Engineering, Kings College London, London, United Kingdom, ³William Harvey Research Institute, Queen Mary University of London, London, United Kingdom

Real time MRI (rtMRI) in human speech is an active field of research, with a particular clinical focus on the assessment of speech disorders. In this work, a numerical phantom is developed to allow acquisition and reconstructions schemes for rtMRI to be compared to a ‘gold standard’. Previously acquired 2D rtMRI images of speech were used to create anatomical masks of various speech organs. An interpolation method was then used to create a continuous time model of the moving structures, which forms the dynamic phantom. The model is then tested using different k-space sampling schemes (Cartesian, radial and spiral).

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