» Articles » PMID: 31506882

CIGuide: in Situ Augmented Reality Laser Guidance

Overview
Publisher Springer
Date 2019 Sep 12
PMID 31506882
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

PURPOSE : A robotic intraoperative laser guidance system with hybrid optic-magnetic tracking for skull base surgery is presented. It provides in situ augmented reality guidance for microscopic interventions at the lateral skull base with minimal mental and workload overhead on surgeons working without a monitor and dedicated pointing tools. METHODS : Three components were developed: a registration tool (Rhinospider), a hybrid magneto-optic-tracked robotic feedback control scheme and a modified robotic end-effector. Rhinospider optimizes registration of patient and preoperative CT data by excluding user errors in fiducial localization with magnetic tracking. The hybrid controller uses an integrated microscope HD camera for robotic control with a guidance beam shining on a dual plate setup avoiding magnetic field distortions. A robotic needle insertion platform (iSYS Medizintechnik GmbH, Austria) was modified to position a laser beam with high precision in a surgical scene compatible to microscopic surgery. RESULTS : System accuracy was evaluated quantitatively at various target positions on a phantom. The accuracy found is 1.2 mm ± 0.5 mm. Errors are primarily due to magnetic tracking. This application accuracy seems suitable for most surgical procedures in the lateral skull base. The system was evaluated quantitatively during a mastoidectomy of an anatomic head specimen and was judged useful by the surgeon. CONCLUSION : A hybrid robotic laser guidance system with direct visual feedback is proposed for navigated drilling and intraoperative structure localization. The system provides visual cues directly on/in the patient anatomy, reducing the standard limitations of AR visualizations like depth perception. The custom- built end-effector for the iSYS robot is transparent to using surgical microscopes and compatible with magnetic tracking. The cadaver experiment showed that guidance was accurate and that the end-effector is unobtrusive. This laser guidance has potential to aid the surgeon in finding the optimal mastoidectomy trajectory in more difficult interventions.

Citing Articles

Advancements in Skull Base Surgery: Navigating Complex Challenges with Artificial Intelligence.

Upreti G Indian J Otolaryngol Head Neck Surg. 2024; 76(2):2184-2190.

PMID: 38566692 PMC: 10982213. DOI: 10.1007/s12070-023-04415-8.


Evaluation Metrics for Augmented Reality in Neurosurgical Preoperative Planning, Surgical Navigation, and Surgical Treatment Guidance: A Systematic Review.

Kos T, Colombo E, Bartels L, Robe P, van Doormaal T Oper Neurosurg (Hagerstown). 2023; .

PMID: 38146941 PMC: 11008635. DOI: 10.1227/ons.0000000000001009.


Augmented Reality in Otology/Neurotology: A Scoping Review with Implications for Practice and Education.

Chen J, Yu S, Ding A, Lee D, Welling D, Carey J Laryngoscope. 2022; 133(8):1786-1795.

PMID: 36519414 PMC: 10267287. DOI: 10.1002/lary.30515.


New hybrid multiplanar cone beam computed tomography-laser-fluoroscopic-guided approach in cochlear implant surgery.

Waldeck S, Schmidt S, von Falck C, Chapot R, Brockmann M, Overhoff D Int J Comput Assist Radiol Surg. 2022; 17(10):1837-1843.

PMID: 35816271 PMC: 9467958. DOI: 10.1007/s11548-022-02703-2.


Novel microscope-based visual display and nasopharyngeal registration for auditory brainstem implantation: a feasibility study in an ex vivo model.

Regodic M, Freyschlag C, Kerschbaumer J, Galijasevic M, Hormann R, Freysinger W Int J Comput Assist Radiol Surg. 2021; 17(2):261-270.

PMID: 34792744 PMC: 8784369. DOI: 10.1007/s11548-021-02514-x.


References
1.
Fitzpatrick J, West J . The distribution of target registration error in rigid-body point-based registration. IEEE Trans Med Imaging. 2001; 20(9):917-27. DOI: 10.1109/42.952729. View

2.
Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin J, Pujol S . 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn Reson Imaging. 2012; 30(9):1323-41. PMC: 3466397. DOI: 10.1016/j.mri.2012.05.001. View

3.
Herrlich M, Tavakol P, Black D, Wenig D, Rieder C, Malaka R . Instrument-mounted displays for reducing cognitive load during surgical navigation. Int J Comput Assist Radiol Surg. 2017; 12(9):1599-1605. PMC: 5568989. DOI: 10.1007/s11548-017-1540-6. View

4.
Yoo T, Ackerman M, Lorensen W, Schroeder W, Chalana V, Aylward S . Engineering and algorithm design for an image processing Api: a technical report on ITK--the Insight Toolkit. Stud Health Technol Inform. 2004; 85:586-92. View

5.
Kettenbach J, Kara L, Toporek G, Fuerst M, Kronreif G . A robotic needle-positioning and guidance system for CT-guided puncture: Ex vivo results. Minim Invasive Ther Allied Technol. 2014; 23(5):271-8. DOI: 10.3109/13645706.2014.928641. View