An open framework enabling electromagnetic tracking in image-guided interventions
| dc.contributor.author | Jaeger, Herman Alexander | |
| dc.contributor.author | Hinds, Stephen | |
| dc.contributor.author | Cantillon-Murphy, Pádraig | |
| dc.date.accessioned | 2018-11-09T12:00:14Z | |
| dc.date.available | 2018-11-09T12:00:14Z | |
| dc.date.issued | 2018-09-13 | |
| dc.date.updated | 2018-11-09T11:43:20Z | |
| 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 5Â ms can be achieved using the framework on a Windows operating system, with decreased system performance observed on UNIX-like platforms. | en |
| dc.description.status | Peer reviewed | en |
| dc.description.uri | https://www.miccai2018.org/en/ | en |
| dc.description.version | Accepted Version | en |
| dc.format.mimetype | application/pdf | en |
| 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.doi | 10.1007/978-3-030-00937-3_20 | |
| dc.identifier.endpage | 175 | en |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.journaltitle | Lecture Notes in Computer Science | en |
| dc.identifier.startpage | 168 | en |
| dc.identifier.uri | https://hdl.handle.net/10468/7081 | |
| dc.identifier.volume | 11073 | 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 https://doi.org/10.1007/978-3-030-00937-3_20 | 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 |
