Simulated Field Maps: Toward Improved Susceptibility Artefact Correction in Interventional MRI [chapter]

Martin Kochan, Pankaj Daga, Ninon Burgos, Mark White, M. Jorge Cardoso, Laura Mancini, Gavin P. Winston, Andrew W. McEvoy, John Thornton, Tarek Yousry, John S. Duncan, Danail Stoyanov (+1 others)
<span title="">2014</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Intraoperative MRI is a powerful modality for acquiring structural and functional images of the brain to enable precise imageguided 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
more &raquo; ... recision 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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-07521-1_24">doi:10.1007/978-3-319-07521-1_24</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tzp2vej2fjck7kxudk6ctwq3fa">fatcat:tzp2vej2fjck7kxudk6ctwq3fa</a> </span>
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