Abstract #2627

Aortic centreline tracking for PWV measurements in multiple MRI sequences

Arna van Engelen¹, Torben Schneider², Hubrecht de Bliek³, Miguel Silva Vieira⁴, Isma Rafiq⁴, Tarique Hussain⁴, Rene Botnar¹, and Jordi Alastruey¹

¹Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, ²Philips Healthcare, Guidford, United Kingdom, ³Philips Healthcare, HSDP Clinical Platforms, Best, Netherlands, ⁴Department of Cardiovascular Imaging, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom

Accurate 3D length measurements through the aorta are required for Pulse Wave Velocity (PWV) measurements. We evaluate automatic centreline tracking, requiring only a start and end point, on three different types of MR data (balanced-SSFP, contrast-enhanced and black-blood MRI), in 12 elderly subjects and 10 patients post-coarctation repair. Our algorithm uses vesselness filtering, fast marching and centreline refinement. Length differences between manual and automatic centrelines are generally below 1cm, with corresponding PWV differences well below 0.5m/s. This shows that with minimal user interaction, accurate PWV measurements can be performed using automatic centreline tracking, on commonly used types of MR data.

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