Abstract #3943

A head motion model for fusion of patient pose measurements from different sensing modalities.

Adam M. J. van Niekerk¹, Ernesta M. Meintjes¹, and Andre J. W. van der Kouwe^1,2,3

¹Division of Biomedical Engineering, Human Biology, University of Cape Town, Cape Town, South Africa, ²Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, United States, ³Radiology, Harvard Medical School, Boston, MA, United States

In this work we aim to address the challenges of fusing motion parameters measured using different sensing modalities, as temporal resolutions differ widely between navigator and external motion tracking techniques. A model is presented in which head motion is characterised as simple rolling motion. The resulting equations describe subject motion to within 2 mm when applied in an open loop manner. A filter, with feedback, is then implemented where navigator data is used to estimate model parameters. The filtered translation output is smooth without the cost of increased latency due to the fast orientation estimates.

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