2022
DOI: 10.3390/s22020522
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Feasibility and Accuracy of Thoracolumbar Pedicle Screw Placement Using an Augmented Reality Head Mounted Device

Abstract: Background: To investigate the accuracy of augmented reality (AR) navigation using the Magic Leap head mounted device (HMD), pedicle screws were minimally invasively placed in four spine phantoms. Methods: AR navigation provided by a combination of a conventional navigation system integrated with the Magic Leap head mounted device (AR-HMD) was used. Forty-eight screws were planned and inserted into Th11-L4 of the phantoms using the AR-HMD and navigated instruments. Postprocedural CT scans were used to grade th… Show more

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Cited by 23 publications
(20 citation statements)
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“…Although currently commercially available navigational systems (without MR) have demonstrated positional errors of ≤2 mm, the error resulting from registration with the MR environment has yet to be investigated [32]. In the present study, the cumulative positional error between initial imaging registration in the navigational system and the actual MRassisted puncture of the femoral artery, including the human error during the puncture itself, was in line with previously reported accuracies in spine surgery with a similar experimental set-up using an HMD and a commercially available navigation system [22,23,33]. Although the quantified positional error was generally sufficient for CFA access in a phantom model, with 14/15 technically successful punctures (93.3%), there was one failed puncture (6.7%) and 1/3 of punctures were outside the mid portion of the targeted area.…”
Section: Discussionsupporting
confidence: 88%
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“…Although currently commercially available navigational systems (without MR) have demonstrated positional errors of ≤2 mm, the error resulting from registration with the MR environment has yet to be investigated [32]. In the present study, the cumulative positional error between initial imaging registration in the navigational system and the actual MRassisted puncture of the femoral artery, including the human error during the puncture itself, was in line with previously reported accuracies in spine surgery with a similar experimental set-up using an HMD and a commercially available navigation system [22,23,33]. Although the quantified positional error was generally sufficient for CFA access in a phantom model, with 14/15 technically successful punctures (93.3%), there was one failed puncture (6.7%) and 1/3 of punctures were outside the mid portion of the targeted area.…”
Section: Discussionsupporting
confidence: 88%
“…Different methods of registration have been investigated, ranging from manual registration and automatic registration using optical tracking markers to registration assisted by commercially available navigation systems. The most investigated clinical application in the past has been pedicle screw placement during spine surgery, which has demonstrated promising initial results in several pilot studies [21][22][23][24][25][26]. In the field of vascular surgery, initial studies have also been conducted to investigate the potential of MR [16,27,28].…”
Section: Introductionmentioning
confidence: 99%
“…Intraoperative endoscope video is the primary real-time data source for laparoscopic and endoscopic procedures and robot-assisted surgery [ 56 , 82 ]. Cone-beam CT employs a similar imaging strategy as CT and improves on some limitations of X-ray fluoroscopy, mainly the 2D nature of the data, by providing the capacity for a 3D snapshot of the intraoperative patient anatomy [ 84 , 85 ]. The final intraoperative data sources were from patient sensors and monitoring equipment [ 86 ] and simulated intraoperative data [ 73 ].…”
Section: Resultsmentioning
confidence: 99%
“…After preoperative imaging, Digital Imaging and Communications in Medicine (DICOM) formatted data are typically provided which can be read in an open source library, such as 3D Slicer ( , accessed on 23 March 2022) [ 46 , 65 , 74 , 87 ], or proprietary software, such as Mimics ( , accessed on 23 March 2022) [ 47 , 61 , 88 ] or Brainlab ( , accessed on 23 March 2022) [ 67 , 84 ]. Surface rendered models provide enormous utility due to their ease of creation, lightweight model representation, and additional modifiable visualization properties, such as color, transparency, wireframe representations, and heatmaps [ 89 ].…”
Section: Resultsmentioning
confidence: 99%
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