Comparative evaluation of monocular augmented-reality display for surgical microscopes

Becker, Brian C.; Lobes, Louis A.; Riviere, Cameron N.

doi:10.1109/embc.2012.6346203

Cited by 6 publications

(7 citation statements)

References 9 publications

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“…Table ) showing that some clinical applications had much wider representation within our sample than others. (Maruyama et al, 2018, Zhang, Chen and Liao, 2017, Wen, Chng and Chui, 2017, Sun et al, 2017, Scolozzi and Bijlenga, 2017, Drouin S. et al, 2017, Hou et al, 2016, Zhang X., Chen and Liao, 2015, Yoshino et al, 2015, Kramers et al, 2014, Han et al, 2013, Mahvash and Tabrizi, 2013, Müller M. et al, 2013, Kersten-Oertel et al, 2012, Volonte et al, 2011, Sugimoto et al, 2010, Giraldez et al, 2007 Indicate correct entry points and trajectories of surgical instruments 31.58 24 (Andress et al, 2018, Eftekhar, 2016, Fichtinger et al, 2005, Gavaghan et al, 2012, Khan et al, 2006, Lee J.-D. et al, 2010, Liao et al, 2010, Martins et al, 2016, Rodriguez et al, 2012, Wesarg et al, 2004 Indicate correct soft tissue resection margins and osteotomy lines 21.05 16 (Badiali et al, 2014, Besharati Tabrizi and Mahvash, 2015, Lin et al, 2016, Lin et al, 2015, Mondal et al, 2015, Pessaux et al, 2015, Qu et al, 2015, Shao et al, 2014, Sun et al, 2016…”

Section: Resultsmentioning

confidence: 99%

Image Overlay Surgery Based on Augmented Reality: A Systematic Review

Pérez-Pachón

Poyade

Lowe

et al. 2020

Advances in Experimental Medicine and Biology

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Augmented Reality (AR) applied to surgical guidance is gaining relevance in clinical practice. ARbased image overlay surgery (i.e. the accurate overlay of patient-specific virtual images onto the body surface) helps surgeons to transfer image data produced during the planning of the surgery (e.g. the correct resection margins of tissue flaps) to the operating room, thus increasing accuracy and reducing surgery times. We systematically reviewed 76 studies published between 2004 and August 2018 to explore which existing tracking and registration methods and technologies allow healthcare professionals and researchers to develop and implement these systems in-house. Most studies used non-invasive markers to automatically track a patient's position, as well as customised algorithms, tracking libraries or software development kits (SDKs) to compute the registration between patient-specific 3D models and the patient's body surface. Few studies combined the use of holographic headsets, SDKs and user-friendly game engines, and described portable and wearable systems that combine tracking, registration, hands-free navigation and direct visibility of the surgical site. Most accuracy tests included a low number of subjects and/or measurements and did not normally explore how these systems affect surgery times and success rates. We highlight the need for more procedure-specific experiments with a sufficient number of subjects and measurements and including data about surgical outcomes and patients' recovery. Validation of systems combining the use of holographic headsets, SDKs and game engines is especially interesting as this approach allows to easily develop mobile AR applications, thus facilitating the implementation of AR-based image overlay surgery in clinical practice.

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Section: Resultsmentioning

confidence: 99%

Image Overlay Surgery Based on Augmented Reality: A Systematic Review

Pérez-Pachón

Poyade

Lowe

et al. 2020

Advances in Experimental Medicine and Biology

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“…The comparative study of the automated surgery in the eye phantom will be followed, by visualizing a virtual target through the microscope for the manual operation [13]. The tracking feature will also be refined to stabilize the tracking result and to filter a noisy vessel map.…”

Section: Discussionmentioning

confidence: 99%

Toward automated intraocular laser surgery using a handheld micromanipulator

Yang

MacLachlan

Riviere

2014

2014 IEEE/RSJ International Conference on Intelligent Robots and Systems

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This paper presents a technique for automated intraocular laser surgery using a handheld micromanipulator known as Micron. The novel handheld manipulator enables the automated scanning of a laser probe within a cylinder of 4 mm long and 4 mm in diameter. For the automation, the surface of the retina is reconstructed using a stereomicroscope, and then preplanned targets are placed on the surface. The laser probe is precisely located on the target via visual servoing of the aiming beam, while maintaining a specific distance above the surface. In addition, the system is capable of tracking the surface of the eye in order to compensate for any eye movement introduced during the operation. We compared the performance of the automated scanning using various control thresholds, in order to find the most effective threshold in terms of accuracy and speed. Given the selected threshold, we conducted the handheld operation above a fixed target surface. The average error and execution time are reduced by 63.6% and 28.5%, respectively, compared to the unaided trials. Finally, the automated laser photocoagulation was demonstrated also in an eye phantom, including compensation for the eye movement.

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“…The holding-still task presented is also limited as a static condition for evaluating tremor; other useful conclusions are expected to be drawn from examining dynamic tasks. We anticipate being able to gather dynamic tremor evaluations through the use of a visual cue injection system [22], which would provide a path within the surgical environment for the surgeon to trace. This method would also be able to enforce a fixed reference point across trials to increase the repeatability.…”

Section: Discussionmentioning

confidence: 99%

Comparison of Baseline Tremor under Various Microsurgical Conditions

Wells

Yang

MacLachlan

et al. 2013

2013 IEEE International Conference on Systems, Man, and Cybernetics

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This paper presents the characterization and comparison of physiological tremor for pointing tasks in multiple environments, as a baseline for performance evaluation of microsurgical robotics. Previous studies have examined the characteristics of physiological tremor under laboratory settings as well as different operating conditions. However, different test methods make the comparison of results across trials and conditions difficult. Two vitroretinal microsurgeons were evaluated while performing a pointing task with no entry-point constraint, constrained by an artificial eye model, and constrained by a rabbit eye in vivo. For the three respective conditions the 3D RMS positioning error was 144 μm, 258 μm, and 285 μm, and maximum 3D error was 349 μm, 647 μm, and 696 μm. A spectral analysis was also performed, confirming a distinct peak near in the 6–12 Hz frequency range, characteristic of hand tremor during tasks in all three environments.

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Comparative evaluation of monocular augmented-reality display for surgical microscopes

Cited by 6 publications

References 9 publications

Image Overlay Surgery Based on Augmented Reality: A Systematic Review

Image Overlay Surgery Based on Augmented Reality: A Systematic Review

Toward automated intraocular laser surgery using a handheld micromanipulator

Comparison of Baseline Tremor under Various Microsurgical Conditions

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