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Abstract #1873

Improving reconstruction of multiband real-time MRI

Isaac Watson1, Elisa Zamboni2, James McStravick3, David Mitchell4, Martin Trefzer1, Angelika Sebald4, and Aneurin Kennerley3
1School of Physics, Engineering and Technology, University of York, York, United Kingdom, 2School of Psychology, University of Nottingham, Nottingham, United Kingdom, 3Department of Sport and Exercise Sciences, Manchester Metropolitan University, Manchester, United Kingdom, 4York Cross-disciplinary Centre for Systems Analysis, University of York, York, United Kingdom

Synopsis

Keywords: Image Reconstruction, Image Reconstruction

Motivation: Static sequences cannot capture movement and current real-time MRI sequences cannot provide volumetric coverage. Our motivation is too bridge this gap.

Goal(s): This work aims to extend a standard real-time MRI sequence to use multiband excitation to improve real-time volumetric coverage for diagnostic purposes.

Approach: Development of a radial sequence incorporating multiband excitation. A compressed sensing reconstruction algorithm is also implemented. Phantom and in-vivo images are acquired and analysed to assess image quality and reconstruction times.

Results: We present both phantom and in-vivo images acquired using this approach. The proposed reconstruction approach results in a higher SNR compared to conventional reconstruction.

Impact: We present improvements in real-time MRI by adding multiband excitation, allowing for the dynamic imaging of complex movements across a volume. This will improve the monitoring and diagnostic capabilities of real-time MRI, for example in maxillofacial surgery or orthopaedics.

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Keywords