Abstract #0580

Robust motion- and $$$\delta B_0$$$ -correction for high-resolution QSM at 7T

Yannick Brackenier^1,2,3, Chiara Casella^1,4, Lucilio Cordero-Grande^1,2,5, Raphael Tomi-Tricot^1,2,6, Philippa Bridgen^1,3,7, Kawin Setsompop^8,9, Shaihan J Malik^1,2,3, and Joseph V Hajnal^1,2,3

¹Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, ²Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, ³London Collaborative Ultra high field System (LoCUS), London, United Kingdom, ⁴Department for Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom, ⁵Biomedical Image Technologies, Universidad Politécnica de Madrid and CIBER-BNN, Madrid, Spain, ⁶Siemens Healthcare Limited, Frimley, United Kingdom, ⁷Guys and St Thomas’ NHS Foundation Trust, King's College London, London, United Kingdom, ⁸Department of Radiology, Stanford University, Palo Alto, CA, United States, ⁹Department of Electrical Engineering, Stanford University, Palo Alto, CA, United States

Synopsis

Keywords: Signal Modeling, Susceptibility

Motivation: Quantitative susceptibility mapping (QSM) provides valuable clinical information and is widely used, especially at ultra-high field (7T). Due to long echo times, QSM acquisitions are extra sensitive to the changes in B₀($$$\delta\textbf{B}_0$$$), such as those secondary to motion.

Goal(s): To provide purely data-driven motion and $$$\delta\textbf{B}_0$$$ correction for QSM.

Approach: We use the self-navigated DISORDER k-space re-ordering, originally proposed for motion correction, to additionally estimate $$$\delta\textbf{B}_0$$$. Within-scan motion and $$$\delta\textbf{B}_0$$$ are then retrospectively corrected during image reconstruction.

Results: We show improved reconstruction in all 5 scanned volunteers when additionally correcting $$$\delta\textbf{B}_0$$$. This directly improves QSM.

Impact: The proposed method can result in improved image quality when scanning in presence of motion and , e.g. due to heavy breathing. Combining this approach with an optimized QSM protocol will provide motion- and -robust QSM.

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