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Abstract #4699

Navigator Filtering Using Principal Component Analysis.

Sergio Andres Uribe Arancibia1, Philipp Batchelor1, Claudia Prieto1, Reza Razavi1, Tobias Schaeffter1

1Division of Imaging Sciences, King's College London, London, UK

Cardiac MR usually requires either navigator echoes or k0 profiles to monitor diaphragm position. Unwanted signals that interfere navigator projections may lead to an incorrect respiratory motion. In this abstract we propose a novel method for filtering navigator projections using a singular value decomposition. The method cleans the projections rather than a derived respiratory signal. Results showed unwanted noise was removed from the projections leading to a robust respiratory motion detection.