An open framework enabling electromagnetic tracking in image-guided interventions

Show simple item record Jaeger, Herman Alexander Hinds, Stephen Cantillon-Murphy, Pádraig 2018-11-09T12:00:14Z 2018-11-09T12:00:14Z 2018-09-13
dc.identifier.citation Jaeger H. A., Hinds S. and Cantillon-Murphy P. (2018)'An open framework enabling electromagnetic tracking in image-guided interventions', in Frangi A., Schnabel J., Davatzikos C., Alberola-López C., Fichtinger G. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. 21st International Conference on Medical Image Computing & Computer Assisted Intervention, Granada, Spain, 16-20 September. Lecture Notes in Computer Science, vol 11073. Cham: Springer International Publishing, pp. 168-175. doi:10.1007/978-3-030-00937-3_20 en
dc.identifier.volume 11073 en
dc.identifier.startpage 168 en
dc.identifier.endpage 175 en
dc.identifier.issn 0302-9743
dc.identifier.doi 10.1007/978-3-030-00937-3_20
dc.description.abstract Electromagnetic tracking (EMT) is a core platform technology in the navigation and visualisation of image-guided procedures. The technology provides high tracking accuracy in non-line-of-sight environments, allowing instrument navigation in locations where optical tracking is not feasible. Integration of EMT in complex procedures, often coupled with multi-modal imaging, is on the rise, yet the lack of flexibility in the available hardware platforms has been noted by many researchers and system designers. Advances in the field of EMT include novel methods of improving tracking system accuracy, precision and error compensation capabilities, though such system-level improvements cannot be readily incorporated in current therapy applications due to the â blackboxâ nature of commercial tracking solving algorithms. This paper defines a software framework to allow novel EMT designs and improvements become part of the global design process for image-guided interventions. In an effort to standardise EMT development, we define a generalised cross-platform software framework in terms of the four system functions common to all EMT systems; acquisition, filtering, modelling and solving. The interfaces between each software component are defined in terms of their input and output data structures. An exemplary framework is implemented in the Python programming language and demonstrated with the open-source Anser EMT system. Performance metrics are gathered from both Matlab and Python implementations of Anser EMT considering the host operating system, hardware configuration and acquisition settings used. Results show indicative system latencies of 5 ms can be achieved using the framework on a Windows operating system, with decreased system performance observed on UNIX-like platforms. en
dc.description.uri en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Springer Nature Switzerland AG en
dc.relation.ispartof International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2018
dc.rights © 2018, Springer International Publishing AG. The final authenticated publication is available at Springer via en
dc.subject Electromagnetic tracking en
dc.subject Image-guided en
dc.subject Tracking accuracy en
dc.title An open framework enabling electromagnetic tracking in image-guided interventions en
dc.type Conference item en
dc.internal.authorcontactother Alexander Herman Jaeger, Occasional Staff, University College Cork, Cork, Ireland. T: +353-21-490-3000 E: en
dc.internal.availability Full text available en 2018-11-09T11:43:20Z
dc.description.version Accepted Version en
dc.internal.rssid 461216072
dc.description.status Peer reviewed en
dc.identifier.journaltitle Lecture Notes in Computer Science en
dc.internal.copyrightchecked Yes en
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Granada, Spain en

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