Generalized Framework for Homogeneous Ultra-High-Field Brain Imaging

Liebig, P. et al. (2022) Generalized Framework for Homogeneous Ultra-High-Field Brain Imaging. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, United Kingdom, 7-12 May 2022.

Full text not currently available from Enlighten.

Publisher's URL: https://index.mirasmart.com/ISMRM2022/PDFfiles/2812.html

Abstract

7T MRI is affected by inhomogeneous transmit and receive B1 field that can impede the inherent gains in signal-to-noise ratio. pTx provides excellent results in correcting the transmit field and showed feasibility in a clinical setting as well1,2. Although multiple algorithms have been developed to correct for the receive profile or signal homogeneities in general, each algorithm has its own shortcomings. Here, we suggest combining prospective correction of the transmit field by pTx with a deep learning network to retrospectively correct for the remaining signal inhomogeneities (mainly receive field variations) in a generalized fashion.

Item Type:Conference or Workshop Item
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Liebig, Patrick and Williams, Dr Sydney and Porter, Professor David and Ding, Ms Belinda
Authors: Liebig, P., Herrler, J., Tomi-Tricot, R., Williams, S., Ding-Yuan, B., Hlou, M., Chebrolu, V., Gadjimuradov, F., Hilbert, T., Kober, T., Gumbrecht, R., Heidemann, R. M., Benkert, T., Rodgers, C., Porter, D. A., Dragonu, I., Nagel, A., and Malik, S.
College/School:College of Medical Veterinary and Life Sciences
College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
Research Group:Imaging Centre of Excellence
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record