2021
DOI: 10.1109/jtehm.2020.3045642
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Registration Techniques for Clinical Applications of Three-Dimensional Augmented Reality Devices

Abstract: Many clinical procedures would benefit from direct and intuitive real-time visualization of anatomy, surgical plans, or other information crucial to the procedure. Three-dimensional augmented reality (3D-AR) is an emerging technology that has the potential to assist physicians with spatial reasoning during clinical interventions. The most intriguing applications of 3D-AR involve visualizations of anatomy or surgical plans that appear directly on the patient. However, commercially available 3D-AR devices have s… Show more

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Cited by 33 publications
(18 citation statements)
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“…This can be performed manually or using trackers. Marker-less tracking is now possible owing to technological advances that correlate patterns in real and virtual data in real time [ 46 , 47 ]. Integrated or external optical sensors (infrared or color) can be used to track markers or recognize patterns from a patient’s anatomy.…”
Section: Resultsmentioning
confidence: 99%
“…This can be performed manually or using trackers. Marker-less tracking is now possible owing to technological advances that correlate patterns in real and virtual data in real time [ 46 , 47 ]. Integrated or external optical sensors (infrared or color) can be used to track markers or recognize patterns from a patient’s anatomy.…”
Section: Resultsmentioning
confidence: 99%
“…Additionally, markerbased registration is still a nuisance, as the marker always needs to be visible, frustrating users when the detection fails. As an alternative, surface recognition could be a solution to this problem, but accuracy results are still far from those obtained with markerbased registration [38] .…”
Section: Discussionmentioning
confidence: 99%
“…Upgrading the system to avoid eddy currents and performing a system calibration function can help to some extent with inherent system errors[ 79 , 88 ]. Static pre-calibration processes are cumbersome and ineffective for most dynamic clinical procedures, and often require too many EM sensors to compensate for field distortion in dynamic environments, making them inefficient.…”
Section: Real-time Navigationmentioning
confidence: 99%