FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2934853044> ?p ?o ?g. }

• W2934853044 endingPage "035026" @default.
• W2934853044 startingPage "035026" @default.
• W2934853044 abstract "Purpose: Electromagnetic (EM) tracking of ultrasound (US) probes has been introduced to expand US imaging capabilities and benefit challenging procedures. However, various instruments—including the US probe itself—may 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. Methods: Combining 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 experimentally validated in a brachytherapy suite. Tracking of a TRUS probe was performed by means of an Ascension trakSTAR tracking system and four EM sensors. In addition, an optical tracking system was employed to provide a ground truth to our data. The performance of the SLAM technique was analysed by varying pertinent parameters, such as the number of redundant measurements and the motion trajectory. Probe trajectories included longitudinal translation, rotation, and freehand motions (consisting of simultaneous longitudinal translation and rotation motions) in order to comprehensively simulate imaging scenarios. Finally, the accuracy of the SLAM estimations was compared with that of the standard filtering methods provided by the manufacturer, as well as that of a simpler sensor fusion technique. Results: SLAM efficiently reduced position tracking errors up to 46.4% during freehand motions of the TRUS probe. Moreover, higher SLAM estimation accuracies were observed as the number of redundant measurements increased. While both TRUS probe motions did not yield a clinically significant trend on position tracking accuracy, orientation measurements were considerably improved during translation of the TRUS probe. Conclusions: The SLAM technique was effective in increasing the tracking accuracy of the TRUS probe. Higher number of redundant sensors and favorable sensor configurations improved the SLAM estimations of EM measurements. In turn, SLAM can further encourage the introduction of EM tracking assistance in clinical procedures such as prostate brachytherapy." @default.
• W2934853044 created "2019-04-11" @default.
• W2934853044 creator A5005410852 @default.
• W2934853044 creator A5027007076 @default.
• W2934853044 creator A5041804050 @default.
• W2934853044 creator A5058622733 @default.
• W2934853044 creator A5081482597 @default.
• W2934853044 creator A5084753910 @default.
• W2934853044 date "2019-04-04" @default.
• W2934853044 modified "2023-09-24" @default.
• W2934853044 title "Field distortion compensation for electromagnetic tracking of ultrasound probes with application in high-dose-rate prostate brachytherapy" @default.
• W2934853044 cites W171962076 @default.
• W2934853044 cites W1986958692 @default.
• W2934853044 cites W1990778458 @default.
• W2934853044 cites W1990854032 @default.
• W2934853044 cites W1991415420 @default.
• W2934853044 cites W1994117060 @default.
• W2934853044 cites W1994879523 @default.
• W2934853044 cites W1995861844 @default.
• W2934853044 cites W2006979426 @default.
• W2934853044 cites W2024775921 @default.
• W2934853044 cites W2028803109 @default.
• W2934853044 cites W2031968504 @default.
• W2934853044 cites W2037633801 @default.
• W2934853044 cites W2050710938 @default.
• W2934853044 cites W2057485734 @default.
• W2934853044 cites W2061724412 @default.
• W2934853044 cites W2074253506 @default.
• W2934853044 cites W2095136085 @default.
• W2934853044 cites W2105320369 @default.
• W2934853044 cites W2113735881 @default.
• W2934853044 cites W2119298599 @default.
• W2934853044 cites W2125148006 @default.
• W2934853044 cites W2127754037 @default.
• W2934853044 cites W2137954940 @default.
• W2934853044 cites W2146881125 @default.
• W2934853044 cites W2161098086 @default.
• W2934853044 cites W2166106366 @default.
• W2934853044 cites W2343689302 @default.
• W2934853044 cites W2588630673 @default.
• W2934853044 doi "https://doi.org/10.1088/2057-1976/ab12b6" @default.
• W2934853044 hasPublicationYear "2019" @default.
• W2934853044 type Work @default.
• W2934853044 sameAs 2934853044 @default.
• W2934853044 citedByCount "1" @default.
• W2934853044 countsByYear W29348530442023 @default.
• W2934853044 crossrefType "journal-article" @default.
• W2934853044 hasAuthorship W2934853044A5005410852 @default.
• W2934853044 hasAuthorship W2934853044A5027007076 @default.
• W2934853044 hasAuthorship W2934853044A5041804050 @default.
• W2934853044 hasAuthorship W2934853044A5058622733 @default.
• W2934853044 hasAuthorship W2934853044A5081482597 @default.
• W2934853044 hasAuthorship W2934853044A5084753910 @default.
• W2934853044 hasConcept C104317684 @default.
• W2934853044 hasConcept C105580179 @default.
• W2934853044 hasConcept C106131492 @default.
• W2934853044 hasConcept C11171543 @default.
• W2934853044 hasConcept C121332964 @default.
• W2934853044 hasConcept C126780896 @default.
• W2934853044 hasConcept C1276947 @default.
• W2934853044 hasConcept C128840427 @default.
• W2934853044 hasConcept C13662910 @default.
• W2934853044 hasConcept C149364088 @default.
• W2934853044 hasConcept C150627866 @default.
• W2934853044 hasConcept C154586513 @default.
• W2934853044 hasConcept C154945302 @default.
• W2934853044 hasConcept C157286648 @default.
• W2934853044 hasConcept C15744967 @default.
• W2934853044 hasConcept C173974348 @default.
• W2934853044 hasConcept C185592680 @default.
• W2934853044 hasConcept C19417346 @default.
• W2934853044 hasConcept C194257627 @default.
• W2934853044 hasConcept C202444582 @default.
• W2934853044 hasConcept C206833254 @default.
• W2934853044 hasConcept C2775936607 @default.
• W2934853044 hasConcept C2776257435 @default.
• W2934853044 hasConcept C2780023022 @default.
• W2934853044 hasConcept C31972630 @default.
• W2934853044 hasConcept C33923547 @default.
• W2934853044 hasConcept C41008148 @default.
• W2934853044 hasConcept C55493867 @default.
• W2934853044 hasConcept C74050887 @default.
• W2934853044 hasConcept C76155785 @default.
• W2934853044 hasConcept C9652623 @default.
• W2934853044 hasConceptScore W2934853044C104317684 @default.
• W2934853044 hasConceptScore W2934853044C105580179 @default.
• W2934853044 hasConceptScore W2934853044C106131492 @default.
• W2934853044 hasConceptScore W2934853044C11171543 @default.
• W2934853044 hasConceptScore W2934853044C121332964 @default.
• W2934853044 hasConceptScore W2934853044C126780896 @default.
• W2934853044 hasConceptScore W2934853044C1276947 @default.
• W2934853044 hasConceptScore W2934853044C128840427 @default.
• W2934853044 hasConceptScore W2934853044C13662910 @default.
• W2934853044 hasConceptScore W2934853044C149364088 @default.
• W2934853044 hasConceptScore W2934853044C150627866 @default.
• W2934853044 hasConceptScore W2934853044C154586513 @default.
• W2934853044 hasConceptScore W2934853044C154945302 @default.
• W2934853044 hasConceptScore W2934853044C157286648 @default.

• next