Abstract #0472

Phase-Based Registration for Visualisation of Pulsatile Brain Motion

Robin Laven¹, Sam Richardson¹, Nadine Hidalgo², Dale Justin Sasis², Eryn Kwon^3,4, Samantha Holdsworth^3,4, and Poul Nielsen^1,2

¹Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand, ²Department of Engineering Science, University of Auckland, Auckland, New Zealand, ³Department of Anatomy and Medical Imaging & Center for Brain Research, University of Auckland, Auckland, New Zealand, ⁴Mātai Medical Research Institute, Tairāwhiti-Gisborne, New Zealand

Synopsis

Keywords: Data Processing, Brain, Chiari 1 MalformationPulsatile brain motion is a valuable tool in understanding injury and congenital disorders. These pulsatile motions have a typical magnitude of < 1 pixel. Amplified MRI (aMRI) amplifies the pulsatile motion to the point of visibility, enabling qualitative examination. However, the amplification in frequency space results in nonlinear distortion of motion preventing the recovery of unaugmented displacements. Here, we propose using phase-based subpixel registration. This methodology enables the recovery of displacement quantification of pulsatile brain motion.

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