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Abstract #1009

Towards rapid and accurate navigators for motion and B0 estimation using QUEEN (QUantitatively-Enhanced parameter Estimation from Navigators)

Yannick Brackenier1, Nan Wang1, Congyu Liao1, Xiaozhi Cao1, Sophie Schauman1, Mahmut Yurt2, Lucilio Cordero-Grande3, Shaihan J Malik4,5, Adam Kerr2,6, Joseph V Hajnal4,5, and Kawin Setsompop1,2
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 3Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid and CIBER-BNN, Madrid, Spain, 4Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 5Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 6Cognitive and Neurobiological Imaging (CNI), Stanford University, Stanford, CA, United States

Synopsis

Keywords: Motion Correction, Brain‘Scout-based’ navigators exploit correlations between navigator data and a low-resolution multi-coil pre-scan data (scout) to effectively estimate either motion or B0-perturbations. Usually, scout data has a fixed contrast, limiting their usage in estimating motion within echo-trains where contrast changes from one readout to the next (e.g. MPRAGE). Furthermore, combined motion and B0-perturbation estimation from rapid navigators has yet to be achieved. In this work, we propose a quantitative scout (Q-SCOUT) to ‘time-resolve’ navigator contrast, along with a rapid SPINS-navigator (few ms). Q-SCOUT and rapid navigator data are used in our QUEEN method to enable within-echo-train motion and B0-perturbation estimation.

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