Simulated field maps: Toward improved susceptibility artefact correction in interventional MRI

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Abstract

Intraoperative MRI is a powerful modality for acquiring structural and functional images of the brain to enable precise image-guided neurosurgery. In this paper, we propose a novel method for simulating main magnetic field inhomogeneity maps during intraoperative MRI-guided neurosurgery. Our method relies on an air-tissue segmentation of intraoperative patient specific data, which is used as an input to a subsequent field simulation step. The generated simulation can then be used to enhance the precision of image-guidance. We report results of our method on 12 patient datasets acquired during image-guided neurosurgery for anterior lobe resection for surgical management of focal temporal lobe epilepsy. We find a close agreement between the field inhomogeneity maps acquired as part of the imaging protocol and the simulated field inhomogeneity maps generated by the proposed method. © 2014 Springer International Publishing Switzerland.

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Kochan, M., Daga, P., Burgos, N., White, M., Cardoso, M. J., Mancini, L., … Ourselin, S. (2014). Simulated field maps: Toward improved susceptibility artefact correction in interventional MRI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8498 LNCS, pp. 226–235). Springer Verlag. https://doi.org/10.1007/978-3-319-07521-1_24

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