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Abstract #0301

Motion correction in volumetric brain imaging based on DISORDER: Distributed and Incoherent Sample Orders for Reconstruction Disentanglement using Encoding Redundancy

Lucilio Cordero-Grande1, Giulio Ferrazzi1, Rui Pedro AG Teixeira1, Hassan Shahzad2, Anthony N Price1, and Joseph V Hajnal1

1Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom, 2Electrical Engineering Department, COMSATS Institute of Information Technology, Islamabad, Pakistan

The DISORDER framework for motion tolerant reconstruction in parallel volumetric brain imaging synergistically combines distributed and incoherent sample orders with a joint retrospective motion estimation and reconstruction technique based on encoding redundancy provided by coil arrays. DISORDER is fully data-based, does not make use of external sensors or acquisition of navigators, does not require data rejection, and can be applied to different sampling schemes and imaging modalities. In-vivo application of DISORDER has shown robustness against extreme and continuous motion in low resolution images and moderate and continuous motion in standard and high resolution images as well as slightly improved contrast properties in high resolution motion images without deliberate motion.

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