Magnetic tracking using a modular C++ environment for image-guided interventions

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dc.contributor.authorCavaliere, Marco
dc.contributor.authorWalsh, Conor
dc.contributor.authorJaeger, Herman Alexander
dc.contributor.authorO'Donoghue, Kilian
dc.contributor.authorCantillon-Murphy, Pádraig
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderHorizon 2020en
dc.date.accessioned2021-11-25T11:51:58Z
dc.date.available2021-11-25T11:51:58Z
dc.date.issued2021-11-09
dc.date.updated2021-11-25T10:59:33Z
dc.description.abstractMagnetic tracking enables instrument tracking for image-guided interventions when no line of sight is available. This paper describes the first steps towards a more cost-effective, modular, and adaptable approach that builds upon prior work in open hardware architectures for magnetic tracking in image-guided interventions. An exemplary C++ framework is implemented and demonstrated with the open-hardware Anser EMT system. System performance in speed, accuracy, and precision of the C++ implementation is analysed. Static positioning accuracy and precision are calculated within the Region of Interest (ROI) and an average position error of 1.0 (Formula presented.) 0.1 mm is demonstrated. Results show an indicative increase in the update rate using the C++ framework and substantially lower memory requirements, compared to the previously optimised Python and Matlab solvers. These preliminary results provide the basis for future development which will integrate the C++ framework in a 3D Slicer module, greatly extending the adaptability of the platform for customisation in advanced image-guided procedures.en
dc.description.sponsorshipScience Foundation Ireland (17/CDA/4771; TIDA17/4897)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationCavaliere, M., Walsh, C., Jaeger, H. A., O'Donoghue, K. and Cantillon-Murphy, P. (2021) 'Magnetic tracking using a modular C++ environment for image-guided interventions', Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization. doi: 10.1080/21681163.2021.1998926en
dc.identifier.doi10.1080/21681163.2021.1998926en
dc.identifier.eissn2168-1171
dc.identifier.issn2168-1163
dc.identifier.journaltitleComputer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualizationen
dc.identifier.urihttps://hdl.handle.net/10468/12267
dc.language.isoenen
dc.publisherTaylor & Francisen
dc.relation.projectinfo:eu-repo/grantAgreement/EC/H2020::ERC::ERC-COG/101002225/EU/DEEP FIELD: Seeing the Unseen in Image-guided Surgery/DEEP FIELDen
dc.rights© 2021 Taylor & Francis Group, LLC. This is an Accepted Manuscript of an item published by Taylor & Francis in Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization on 9 November 2021, available online: https://doi.org/10.1080/21681163.2021.1998926en
dc.subjectC++ frameworken
dc.subjectMagnetic trackingen
dc.subjectOpen-sourceen
dc.titleMagnetic tracking using a modular C++ environment for image-guided interventionsen
dc.typeArticle (peer-reviewed)en
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