@inproceedings{ Kochan2014Simulated,

year={ 2014 },

booktitle={ International Conference on Information Processing in Computer-Assisted Interventions },

website={ http://link.springer.com/chapter/10.1007/978-3-319-07521-1_24 },

title={ Simulated Field Maps: Toward Improved Susceptibility Artefact Correction in Interventional MRI },

keywords={ Intraoperative MRI; artefact correction; },

author={ Kochan, Martin; Daga, Pankaj; Burgos, Ninon; White, Mark; Cardoso, Jorge; Mancini, Laura; Winston, Gavin; McEvoy, Andrew; Thornton, John; Yousry, Tarek; Duncan, John S.; Stoyanov, Danail; Ourselin, Sebastien; },

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. }

}