{"id":2412,"date":"2024-05-03T15:05:22","date_gmt":"2024-05-03T15:05:22","guid":{"rendered":"https:\/\/labs.cs.queensu.ca\/perklab\/members\/elodie-lugez\/"},"modified":"2024-05-03T15:05:22","modified_gmt":"2024-05-03T15:05:22","slug":"elodie-lugez","status":"publish","type":"qsc_member","link":"https:\/\/labs.cs.queensu.ca\/perklab\/members\/elodie-lugez\/","title":{"rendered":"Elodie Lugez"},"content":{"rendered":"
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Elodie Lugez<\/h1>\n<\/div>\n
PhD Student<\/div>\n
School of Computing<\/div>\n
Queen’s University<\/div>\n
Member from 2014<\/em> to 2016<\/em><\/div>\n
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\n\tElodie Lugez received her MSc and BSc engineering degrees in Telecommunications and Networks from T\u00e9l\u00e9com Saint-Etienne, Jean Monnet University, Saint Etienne, France in 2011. She acted as a project manager at Capgemini Outsourcing, Montbonnot, France where she supervised network administrator teams in several projects for Scheider Electric. She defended her PhD in 2016 at the Laboratory for Percutaneous Surgery, Queen’s University, Kingston, ON, Canada; her research pertained to electromagnetic tracking for surgical navigation.
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Lugez, Elodie; Sadjadi, Hossein; Joshi, Chandra P; Hashtrudi-Zaad, Keyvan; Akl, Selim G; Fichtinger, Gabor<\/p>

Field distortion compensation for electromagnetic tracking of ultrasound probes with application in high-dose-rate prostate brachytherapy<\/a> Journal Article<\/span> <\/p>

In: <\/span>Biomedical Physics & Engineering Express, <\/span>vol. 5, <\/span>iss. 3, <\/span>pp. 035026, <\/span>2019<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@article{fichtinger2019k,
\r\ntitle = {Field distortion compensation for electromagnetic tracking of ultrasound probes with application in high-dose-rate prostate brachytherapy},
\r\nauthor = {Elodie Lugez and Hossein Sadjadi and Chandra P Joshi and Keyvan Hashtrudi-Zaad and Selim G Akl and Gabor Fichtinger},
\r\nurl = {https:\/\/iopscience.iop.org\/article\/10.1088\/2057-1976\/ab12b6\/meta},
\r\nyear  = {2019},
\r\ndate = {2019-01-01},
\r\njournal = {Biomedical Physics & Engineering Express},
\r\nvolume = {5},
\r\nissue = {3},
\r\npages = {035026},
\r\npublisher = {IOP Publishing},
\r\nabstract = {Purpose 
\r\nElectromagnetic (EM) tracking of ultrasound (US) probes has been introduced to expand US imaging capabilities and benefit challenging procedures. However, various instruments\u2014including the US probe itself\u2014may introduce dynamic distortions to the EM field, and compromise the EM measurements. Basic filtering methods, such as those provided by manufacturers, are usually inefficient as they do not allow for field distortion compensation. We propose to use a simultaneous localization and mapping (SLAM) algorithm to track the transrectal US (TRUS) probe while dynamically detect, map, and correct the EM field distortions. 
\r\nMethods 
\r\nCombining the motion model of the tracked probe, the observations made by a few redundant EM sensors, and the field distortions map, the SLAM algorithm relied on an extended Kalman filter (EKF) to estimate the tracking measurements. The SLAM technique was \u2026},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
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Purpose 
\r\nElectromagnetic (EM) tracking of ultrasound (US) probes has been introduced to expand US imaging capabilities and benefit challenging procedures. However, various instruments\u2014including the US probe itself\u2014may introduce dynamic distortions to the EM field, and compromise the EM measurements. Basic filtering methods, such as those provided by manufacturers, are usually inefficient as they do not allow for field distortion compensation. We propose to use a simultaneous localization and mapping (SLAM) algorithm to track the transrectal US (TRUS) probe while dynamically detect, map, and correct the EM field distortions. 
\r\nMethods 
\r\nCombining the motion model of the tracked probe, the observations made by a few redundant EM sensors, and the field distortions map, the SLAM algorithm relied on an extended Kalman filter (EKF) to estimate the tracking measurements. The SLAM technique was \u2026<\/div>
Close<\/a><\/p><\/div>