2014
DOI: 10.1007/s10334-014-0446-3
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Fast and accurate localization of multiple RF markers for tracking in MRI-guided interventions

Abstract: ObjectA new method for 3D localization of N fiducial markers from 1D projections is presented and analysed. It applies to semi-active markers and active markers using a single receiver channel.Materials and methodsThe novel algorithm computes candidate points using peaks in three optimally selected projections and removes fictitious points by verifying detected peaks in additional projections. Computational complexity was significantly reduced by avoiding cluster analysis, while higher accuracy was achieved by… Show more

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Cited by 13 publications
(18 citation statements)
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References 25 publications
(31 reference statements)
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“…Previous work indicated that the typical accuracy of the localization method is better than 0.3 voxels. If the markers are arranged in a known pattern such that they are not equidistant from each other, then the correspondence between identified marker positions in different volume images can be established automatically . Registration is then performed as a rigid‐body transformation that minimizes the sum of the squared distances between the corresponding marker points .…”
Section: Methodsmentioning
confidence: 99%
“…Previous work indicated that the typical accuracy of the localization method is better than 0.3 voxels. If the markers are arranged in a known pattern such that they are not equidistant from each other, then the correspondence between identified marker positions in different volume images can be established automatically . Registration is then performed as a rigid‐body transformation that minimizes the sum of the squared distances between the corresponding marker points .…”
Section: Methodsmentioning
confidence: 99%
“…The prototype presented here makes use of semi-active markers localised using a tracking algorithm that employs 1D projections (Galassi et al, 2014). The method involves acquiring a set of 1D projections through excitation of the whole imaging volume.…”
Section: Robot Localisationmentioning
confidence: 99%
“…This setup simulates a fully inserted needle and amplifies position errors of θ 2 and θ 3 by a factor 5, corresponding to the ratio between adapter length l and distance t (1). The coordinates of the micro-coil in the reference frame F0 of the MR scanner were calculated using the tracking algorithm described in (Galassi et al, 2014). Initially the reference frame F1 was automatically registered with respect to the scanner frame F0 computing the position of 3 points with (2) and measuring the corresponding position of the micro-coil fiducial with the tracking algorithm.…”
Section: Robot Accuracymentioning
confidence: 99%
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“…43 Caliber Clear Paintballs 8000, Rap4 UK). While fast and accurate tracking of semi-active markers was demonstrated in [50], a closer integration with the scanner was required. The main advantage of the approach presented here is its portability, since it does not rely on special imaging sequences, which would have to be reprogrammed for different MRI scanners.…”
Section: Robot Registrationmentioning
confidence: 99%