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Gerard IJ, Kersten-Oertel M, Drouin S, Hall JA, Petrecca K, De Nigris D, Di Giovanni DA, Arbel T, Collins DL. Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: a pilot study of eight cases. J Med Imaging (Bellingham) 2018; 5:021210. [PMID: 29392162 DOI: 10.1117/1.jmi.5.2.021210] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 01/08/2018] [Indexed: 11/14/2022] Open
Abstract
We present our work investigating the feasibility of combining intraoperative ultrasound for brain shift correction and augmented reality (AR) visualization for intraoperative interpretation of patient-specific models in image-guided neurosurgery (IGNS) of brain tumors. We combine two imaging technologies for image-guided brain tumor neurosurgery. Throughout surgical interventions, AR was used to assess different surgical strategies using three-dimensional (3-D) patient-specific models of the patient's cortex, vasculature, and lesion. Ultrasound imaging was acquired intraoperatively, and preoperative images and models were registered to the intraoperative data. The quality and reliability of the AR views were evaluated with both qualitative and quantitative metrics. A pilot study of eight patients demonstrates the feasible combination of these two technologies and their complementary features. In each case, the AR visualizations enabled the surgeon to accurately visualize the anatomy and pathology of interest for an extended period of the intervention. Inaccuracies associated with misregistration, brain shift, and AR were improved in all cases. These results demonstrate the potential of combining ultrasound-based registration with AR to become a useful tool for neurosurgeons to improve intraoperative patient-specific planning by improving the understanding of complex 3-D medical imaging data and prolonging the reliable use of IGNS.
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Affiliation(s)
- Ian J Gerard
- McGill University, Montreal Neurological Institute and Hospital, Department of Biomedical Engineering, Montreal, Québec, Canada
| | - Marta Kersten-Oertel
- Concordia University, PERFORM Centre, Department of Computer Science and Software Engineering, Montreal, Québec, Canada
| | - Simon Drouin
- McGill University, Montreal Neurological Institute and Hospital, Department of Biomedical Engineering, Montreal, Québec, Canada
| | - Jeffery A Hall
- McGill University, Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, Montreal, Québec, Canada
| | - Kevin Petrecca
- McGill University, Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, Montreal, Québec, Canada
| | - Dante De Nigris
- McGill University, Centre for Intelligent Machines, Department of Electrical and Computer Engineering, Montreal, Québec, Canada
| | - Daniel A Di Giovanni
- McGill University, Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, Montreal, Québec, Canada
| | - Tal Arbel
- McGill University, Centre for Intelligent Machines, Department of Electrical and Computer Engineering, Montreal, Québec, Canada
| | - D Louis Collins
- McGill University, Montreal Neurological Institute and Hospital, Department of Biomedical Engineering, Montreal, Québec, Canada.,McGill University, Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, Montreal, Québec, Canada.,McGill University, Centre for Intelligent Machines, Department of Electrical and Computer Engineering, Montreal, Québec, Canada
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de Ribaupierre S, Eagleson R. Editorial: Challenges for the usability of AR and VR for clinical neurosurgical procedures. Healthc Technol Lett 2017; 4:151. [PMID: 29184655 DOI: 10.1049/htl.2017.0077] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
There are a number of challenges that must be faced when trying to develop AR and VR-based Neurosurgical simulators, Surgical Navigation Platforms, and "Smart OR" systems. Trying to simulate an operating room environment and surgical tasks in Augmented and Virtual Reality is a challenge many are attempting to solve, in order to train surgeons or help them operate. What are some of the needs of the surgeon, and what are the challenges encountered (human computer interface, perception, workflow, etc). We discuss these tradeoffs and conclude with critical remarks.
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Léger É, Drouin S, Collins DL, Popa T, Kersten-Oertel M. Quantifying attention shifts in augmented reality image-guided neurosurgery. Healthc Technol Lett 2017; 4:188-192. [PMID: 29184663 PMCID: PMC5683248 DOI: 10.1049/htl.2017.0062] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Accepted: 07/27/2017] [Indexed: 11/20/2022] Open
Abstract
Image-guided surgery (IGS) has allowed for more minimally invasive procedures, leading to better patient outcomes, reduced risk of infection, less pain, shorter hospital stays and faster recoveries. One drawback that has emerged with IGS is that the surgeon must shift their attention from the patient to the monitor for guidance. Yet both cognitive and motor tasks are negatively affected with attention shifts. Augmented reality (AR), which merges the realworld surgical scene with preoperative virtual patient images and plans, has been proposed as a solution to this drawback. In this work, we studied the impact of two different types of AR IGS set-ups (mobile AR and desktop AR) and traditional navigation on attention shifts for the specific task of craniotomy planning. We found a significant difference in terms of the time taken to perform the task and attention shifts between traditional navigation, but no significant difference between the different AR set-ups. With mobile AR, however, users felt that the system was easier to use and that their performance was better. These results suggest that regardless of where the AR visualisation is shown to the surgeon, AR may reduce attention shifts, leading to more streamlined and focused procedures.
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Affiliation(s)
- Étienne Léger
- Department of Computer Science and Software Engineering & Perform Centre, Concordia University, Montreal, Canada
| | - Simon Drouin
- McConnell Brain Imaging Centre, Montreal Neuro, McGill University, Montréal, Canada
| | - D. Louis Collins
- McConnell Brain Imaging Centre, Montreal Neuro, McGill University, Montréal, Canada
| | - Tiberiu Popa
- Department of Computer Science and Software Engineering & Perform Centre, Concordia University, Montreal, Canada
| | - Marta Kersten-Oertel
- Department of Computer Science and Software Engineering & Perform Centre, Concordia University, Montreal, Canada
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Scolozzi P, Bijlenga P. Removal of recurrent intraorbital tumour using a system of augmented reality. Br J Oral Maxillofac Surg 2017; 55:962-964. [PMID: 28918184 DOI: 10.1016/j.bjoms.2017.08.360] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Accepted: 08/18/2017] [Indexed: 11/15/2022]
Abstract
The most crucial step in the management of pleomorphic adenoma of the lacrimal gland is choosing the optimal approach for excision. We report the successful removal of a recurrent pleomorphic adenoma of the lacrimal gland in a 42-year-old woman using a specific microscope-based system of augmented reality.
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Affiliation(s)
- P Scolozzi
- Division of Oral and Maxillofacial Surgery, Department of Surgery, University of Geneva & University Hospitals of Geneva, Geneva, Switzerland.
| | - P Bijlenga
- Division of Neurosurgery, Department of Clinical Neuroscience, University of Geneva & University Hospitals of Geneva, Geneva, Switzerland
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Vávra P, Roman J, Zonča P, Ihnát P, Němec M, Kumar J, Habib N, El-Gendi A. Recent Development of Augmented Reality in Surgery: A Review. JOURNAL OF HEALTHCARE ENGINEERING 2017; 2017:4574172. [PMID: 29065604 PMCID: PMC5585624 DOI: 10.1155/2017/4574172] [Citation(s) in RCA: 161] [Impact Index Per Article: 20.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2017] [Accepted: 07/03/2017] [Indexed: 12/11/2022]
Abstract
INTRODUCTION The development augmented reality devices allow physicians to incorporate data visualization into diagnostic and treatment procedures to improve work efficiency, safety, and cost and to enhance surgical training. However, the awareness of possibilities of augmented reality is generally low. This review evaluates whether augmented reality can presently improve the results of surgical procedures. METHODS We performed a review of available literature dating from 2010 to November 2016 by searching PubMed and Scopus using the terms "augmented reality" and "surgery." Results. The initial search yielded 808 studies. After removing duplicates and including only journal articles, a total of 417 studies were identified. By reading of abstracts, 91 relevant studies were chosen to be included. 11 references were gathered by cross-referencing. A total of 102 studies were included in this review. CONCLUSIONS The present literature suggest an increasing interest of surgeons regarding employing augmented reality into surgery leading to improved safety and efficacy of surgical procedures. Many studies showed that the performance of newly devised augmented reality systems is comparable to traditional techniques. However, several problems need to be addressed before augmented reality is implemented into the routine practice.
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Affiliation(s)
- P. Vávra
- Department of Surgery, University Hospital Ostrava, 17. Listopadu 1790, 708 52 Ostrava, Czech Republic
| | - J. Roman
- Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic
| | - P. Zonča
- Department of Surgery, University Hospital Ostrava, 17. Listopadu 1790, 708 52 Ostrava, Czech Republic
| | - P. Ihnát
- Department of Surgery, University Hospital Ostrava, 17. Listopadu 1790, 708 52 Ostrava, Czech Republic
- Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic
| | - M. Němec
- Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. Listopadu 15/2172, 708 33 Ostrava, Czech Republic
| | - J. Kumar
- Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - N. Habib
- Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - A. El-Gendi
- Department of Surgery, Faculty of Medicine, Alexandria University, Chamblion Street, El Azareeta, Alexandria Governorate, Egypt
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Zhang X, Chen G, Liao H. High-Quality See-Through Surgical Guidance System Using Enhanced 3-D Autostereoscopic Augmented Reality. IEEE Trans Biomed Eng 2017; 64:1815-1825. [DOI: 10.1109/tbme.2016.2624632] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Cutolo F, Meola A, Carbone M, Sinceri S, Cagnazzo F, Denaro E, Esposito N, Ferrari M, Ferrari V. A new head-mounted display-based augmented reality system in neurosurgical oncology: a study on phantom. Comput Assist Surg (Abingdon) 2017; 22:39-53. [PMID: 28754068 DOI: 10.1080/24699322.2017.1358400] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Affiliation(s)
- Fabrizio Cutolo
- Department of Translational Research and New Technologies in Medicine and Surgery, EndoCAS Center, University of Pisa, Pisa, Italy
- Department of Information Engineering, University of Pisa, Pisa, Italy
| | - Antonio Meola
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Marina Carbone
- Department of Translational Research and New Technologies in Medicine and Surgery, EndoCAS Center, University of Pisa, Pisa, Italy
| | - Sara Sinceri
- Department of Translational Research and New Technologies in Medicine and Surgery, EndoCAS Center, University of Pisa, Pisa, Italy
| | | | - Ennio Denaro
- Department of Translational Research and New Technologies in Medicine and Surgery, EndoCAS Center, University of Pisa, Pisa, Italy
| | - Nicola Esposito
- Department of Translational Research and New Technologies in Medicine and Surgery, EndoCAS Center, University of Pisa, Pisa, Italy
| | - Mauro Ferrari
- Department of Translational Research and New Technologies in Medicine and Surgery, EndoCAS Center, University of Pisa, Pisa, Italy
- Department of Vascular Surgery, Pisa University Medical School, Pisa, Italy
| | - Vincenzo Ferrari
- Department of Translational Research and New Technologies in Medicine and Surgery, EndoCAS Center, University of Pisa, Pisa, Italy
- Department of Information Engineering, University of Pisa, Pisa, Italy
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Augmented Reality in Neurosurgery: A Review of Current Concepts and Emerging Applications. Can J Neurol Sci 2017; 44:235-245. [PMID: 28434425 DOI: 10.1017/cjn.2016.443] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Augmented reality (AR) superimposes computer-generated virtual objects onto the user's view of the real world. Among medical disciplines, neurosurgery has long been at the forefront of image-guided surgery, and it continues to push the frontiers of AR technology in the operating room. In this systematic review, we explore the history of AR in neurosurgery and examine the literature on current neurosurgical applications of AR. Significant challenges to surgical AR exist, including compounded sources of registration error, impaired depth perception, visual and tactile temporal asynchrony, and operator inattentional blindness. Nevertheless, the ability to accurately display multiple three-dimensional datasets congruently over the area where they are most useful, coupled with future advances in imaging, registration, display technology, and robotic actuation, portend a promising role for AR in the neurosurgical operating room.
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Khor WS, Baker B, Amin K, Chan A, Patel K, Wong J. Augmented and virtual reality in surgery-the digital surgical environment: applications, limitations and legal pitfalls. ANNALS OF TRANSLATIONAL MEDICINE 2016; 4:454. [PMID: 28090510 DOI: 10.21037/atm.2016.12.23] [Citation(s) in RCA: 144] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The continuing enhancement of the surgical environment in the digital age has led to a number of innovations being highlighted as potential disruptive technologies in the surgical workplace. Augmented reality (AR) and virtual reality (VR) are rapidly becoming increasingly available, accessible and importantly affordable, hence their application into healthcare to enhance the medical use of data is certain. Whether it relates to anatomy, intraoperative surgery, or post-operative rehabilitation, applications are already being investigated for their role in the surgeons armamentarium. Here we provide an introduction to the technology and the potential areas of development in the surgical arena.
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Affiliation(s)
- Wee Sim Khor
- Department of Plastic & Reconstructive Surgery, University Hospital of South Manchester NHS Foundation Trust, Manchester, UK
| | - Benjamin Baker
- Department of Plastic & Reconstructive Surgery, University Hospital of South Manchester NHS Foundation Trust, Manchester, UK
| | - Kavit Amin
- Department of Plastic & Reconstructive Surgery, University Hospital of South Manchester NHS Foundation Trust, Manchester, UK
| | | | - Ketan Patel
- Division of Plastic Surgery, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Jason Wong
- Plastic & Reconstructive Surgery Research, The University of Manchester, Manchester, UK
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Pelargos PE, Nagasawa DT, Lagman C, Tenn S, Demos JV, Lee SJ, Bui TT, Barnette NE, Bhatt NS, Ung N, Bari A, Martin NA, Yang I. Utilizing virtual and augmented reality for educational and clinical enhancements in neurosurgery. J Clin Neurosci 2016; 35:1-4. [PMID: 28137372 DOI: 10.1016/j.jocn.2016.09.002] [Citation(s) in RCA: 112] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Accepted: 09/12/2016] [Indexed: 01/16/2023]
Abstract
Neurosurgery has undergone a technological revolution over the past several decades, from trephination to image-guided navigation. Advancements in virtual reality (VR) and augmented reality (AR) represent some of the newest modalities being integrated into neurosurgical practice and resident education. In this review, we present a historical perspective of the development of VR and AR technologies, analyze its current uses, and discuss its emerging applications in the field of neurosurgery.
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Affiliation(s)
- Panayiotis E Pelargos
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, 5th Floor Wasserman Bldg., Los Angeles, CA 90095-6901, United States
| | - Daniel T Nagasawa
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, 5th Floor Wasserman Bldg., Los Angeles, CA 90095-6901, United States
| | - Carlito Lagman
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, 5th Floor Wasserman Bldg., Los Angeles, CA 90095-6901, United States
| | - Stephen Tenn
- Department of Radiation Oncology, University of California, Los Angeles, 200 UCLA Medical Plaza, Suite B265, Los Angeles, CA 90095-6951, United States
| | - Joanna V Demos
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, 5th Floor Wasserman Bldg., Los Angeles, CA 90095-6901, United States
| | - Seung J Lee
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, 5th Floor Wasserman Bldg., Los Angeles, CA 90095-6901, United States
| | - Timothy T Bui
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, 5th Floor Wasserman Bldg., Los Angeles, CA 90095-6901, United States
| | - Natalie E Barnette
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, 5th Floor Wasserman Bldg., Los Angeles, CA 90095-6901, United States
| | - Nikhilesh S Bhatt
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, 5th Floor Wasserman Bldg., Los Angeles, CA 90095-6901, United States
| | - Nolan Ung
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, 5th Floor Wasserman Bldg., Los Angeles, CA 90095-6901, United States
| | - Ausaf Bari
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, 5th Floor Wasserman Bldg., Los Angeles, CA 90095-6901, United States
| | - Neil A Martin
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, 5th Floor Wasserman Bldg., Los Angeles, CA 90095-6901, United States
| | - Isaac Yang
- Department of Neurosurgery, University of California, Los Angeles, 300 Stein Plaza, 5th Floor Wasserman Bldg., Los Angeles, CA 90095-6901, United States.
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Hou Y, Ma L, Zhu R, Chen X, Zhang J. A Low-Cost iPhone-Assisted Augmented Reality Solution for the Localization of Intracranial Lesions. PLoS One 2016; 11:e0159185. [PMID: 27454518 PMCID: PMC4959690 DOI: 10.1371/journal.pone.0159185] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2015] [Accepted: 06/28/2016] [Indexed: 11/26/2022] Open
Abstract
Background Precise location of intracranial lesions before surgery is important, but occasionally difficult. Modern navigation systems are very helpful, but expensive. A low-cost solution that could locate brain lesions and their surface projections in augmented reality would be beneficial. We used an iPhone to partially achieve this goal, and evaluated its accuracy and feasibility in a clinical neurosurgery setting. Methodology/Principal Findings We located brain lesions in 35 patients, and using an iPhone, we depicted the lesion’s surface projection onto the skin of the head. To assess the accuracy of this method, we pasted computed tomography (CT) markers surrounding the depicted lesion boundaries on the skin onto 15 patients. CT scans were then performed with or without contrast enhancement. The deviations (D) between the CT markers and the actual lesion boundaries were measured. We found that 97.7% of the markers displayed a high accuracy level (D ≤ 5mm). In the remaining 20 patients, we compared our iPhone-based method with a frameless neuronavigation system. Four check points were chosen on the skin surrounding the depicted lesion boundaries, to assess the deviations between the two methods. The integrated offset was calculated according to the deviations at the four check points. We found that for the supratentorial lesions, the medial offset between these two methods was 2.90 mm and the maximum offset was 4.2 mm. Conclusions/Significance This low-cost, image-based, iPhone-assisted, augmented reality solution is technically feasible, and helpful for the localization of some intracranial lesions, especially shallow supratentorial intracranial lesions of moderate size.
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Affiliation(s)
- YuanZheng Hou
- Department of Neurosurgery, PLA General Hospital Hainan Branch, Sanya, Hainan, China
| | - LiChao Ma
- Department of Geriatric Endocrinology, PLA General Hospital, Beijing, China
| | - RuYuan Zhu
- Department of Neurosurgery, PLA General Hospital, Beijng, China
| | - XiaoLei Chen
- Department of Neurosurgery, PLA General Hospital, Beijng, China
| | - Jun Zhang
- Department of Neurosurgery, PLA General Hospital, Beijng, China
- * E-mail:
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62
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Augmented reality in neurosurgery: a systematic review. Neurosurg Rev 2016; 40:537-548. [PMID: 27154018 DOI: 10.1007/s10143-016-0732-9] [Citation(s) in RCA: 172] [Impact Index Per Article: 19.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Revised: 02/18/2016] [Accepted: 03/13/2016] [Indexed: 12/16/2022]
Abstract
Neuronavigation has become an essential neurosurgical tool in pursuing minimal invasiveness and maximal safety, even though it has several technical limitations. Augmented reality (AR) neuronavigation is a significant advance, providing a real-time updated 3D virtual model of anatomical details, overlaid on the real surgical field. Currently, only a few AR systems have been tested in a clinical setting. The aim is to review such devices. We performed a PubMed search of reports restricted to human studies of in vivo applications of AR in any neurosurgical procedure using the search terms "Augmented reality" and "Neurosurgery." Eligibility assessment was performed independently by two reviewers in an unblinded standardized manner. The systems were qualitatively evaluated on the basis of the following: neurosurgical subspecialty of application, pathology of treated lesions and lesion locations, real data source, virtual data source, tracking modality, registration technique, visualization processing, display type, and perception location. Eighteen studies were included during the period 1996 to September 30, 2015. The AR systems were grouped by the real data source: microscope (8), hand- or head-held cameras (4), direct patient view (2), endoscope (1), and X-ray fluoroscopy (1) head-mounted display (1). A total of 195 lesions were treated: 75 (38.46 %) were neoplastic, 77 (39.48 %) neurovascular, and 1 (0.51 %) hydrocephalus, and 42 (21.53 %) were undetermined. Current literature confirms that AR is a reliable and versatile tool when performing minimally invasive approaches in a wide range of neurosurgical diseases, although prospective randomized studies are not yet available and technical improvements are needed.
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63
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Mandibular angle split osteotomy based on a novel augmented reality navigation using specialized robot-assisted arms—A feasibility study. J Craniomaxillofac Surg 2016; 44:215-23. [DOI: 10.1016/j.jcms.2015.10.024] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2015] [Revised: 09/21/2015] [Accepted: 10/20/2015] [Indexed: 11/22/2022] Open
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Towards Augmented Reality Guided Craniotomy Planning in Tumour Resections. LECTURE NOTES IN COMPUTER SCIENCE 2016. [DOI: 10.1007/978-3-319-43775-0_15] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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65
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Dolati P, Gokoglu A, Eichberg D, Zamani A, Golby A, Al-Mefty O. Multimodal navigated skull base tumor resection using image-based vascular and cranial nerve segmentation: A prospective pilot study. Surg Neurol Int 2015; 6:172. [PMID: 26674155 PMCID: PMC4665134 DOI: 10.4103/2152-7806.170023] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2015] [Accepted: 08/31/2015] [Indexed: 12/03/2022] Open
Abstract
Background: Skull base tumors frequently encase or invade adjacent normal neurovascular structures. For this reason, optimal tumor resection with incomplete knowledge of patient anatomy remains a challenge. Methods: To determine the accuracy and utility of image-based preoperative segmentation in skull base tumor resections, we performed a prospective study. Ten patients with skull base tumors underwent preoperative 3T magnetic resonance imaging, which included thin section three-dimensional (3D) space T2, 3D time of flight, and magnetization-prepared rapid acquisition gradient echo sequences. Imaging sequences were loaded in the neuronavigation system for segmentation and preoperative planning. Five different neurovascular landmarks were identified in each case and measured for accuracy using the neuronavigation system. Each segmented neurovascular element was validated by manual placement of the navigation probe, and errors of localization were measured. Results: Strong correspondence between image-based segmentation and microscopic view was found at the surface of the tumor and tumor-normal brain interfaces in all cases. The accuracy of the measurements was 0.45 ± 0.21 mm (mean ± standard deviation). This information reassured the surgeon and prevented vascular injury intraoperatively. Preoperative segmentation of the related cranial nerves was possible in 80% of cases and helped the surgeon localize involved cranial nerves in all cases. Conclusion: Image-based preoperative vascular and neural element segmentation with 3D reconstruction is highly informative preoperatively and could increase the vigilance of neurosurgeons for preventing neurovascular injury during skull base surgeries. Additionally, the accuracy found in this study is superior to previously reported measurements. This novel preliminary study is encouraging for future validation with larger numbers of patients.
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Affiliation(s)
- Parviz Dolati
- Department of Neurosurgery, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Abdulkerim Gokoglu
- Department of Neurosurgery, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Daniel Eichberg
- Department of Neurosurgery, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Amir Zamani
- Department of Neurosurgery, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Alexandra Golby
- Department of Neurosurgery, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Ossama Al-Mefty
- Department of Neurosurgery, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Mahmud N, Cohen J, Tsourides K, Berzin TM. Computer vision and augmented reality in gastrointestinal endoscopy. Gastroenterol Rep (Oxf) 2015; 3:179-84. [PMID: 26133175 PMCID: PMC4527270 DOI: 10.1093/gastro/gov027] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Accepted: 06/07/2015] [Indexed: 02/06/2023] Open
Abstract
Augmented reality (AR) is an environment-enhancing technology, widely applied in the computer sciences, which has only recently begun to permeate the medical field. Gastrointestinal endoscopy—which relies on the integration of high-definition video data with pathologic correlates—requires endoscopists to assimilate and process a tremendous amount of data in real time. We believe that AR is well positioned to provide computer-guided assistance with a wide variety of endoscopic applications, beginning with polyp detection. In this article, we review the principles of AR, describe its potential integration into an endoscopy set-up, and envisage a series of novel uses. With close collaboration between physicians and computer scientists, AR promises to contribute significant improvements to the field of endoscopy.
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Affiliation(s)
- Nadim Mahmud
- Department of Internal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston MA, USA
| | - Jonah Cohen
- The Center for Advanced Endoscopy, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston MA, USA
| | - Kleovoulos Tsourides
- Brain and Cognitive Sciences, Massachusetts Institute of Technology, Boston MA, USA
| | - Tyler M Berzin
- The Center for Advanced Endoscopy, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston MA, USA
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Kersten-Oertel M, Gerard I, Drouin S, Mok K, Sirhan D, Sinclair DS, Collins DL. Augmented reality in neurovascular surgery: feasibility and first uses in the operating room. Int J Comput Assist Radiol Surg 2015; 10:1823-36. [DOI: 10.1007/s11548-015-1163-8] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2014] [Accepted: 02/10/2015] [Indexed: 11/24/2022]
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Augmented Reality for Specific Neurovascular Surgical Tasks. AUGMENTED ENVIRONMENTS FOR COMPUTER-ASSISTED INTERVENTIONS 2015. [DOI: 10.1007/978-3-319-24601-7_10] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Cabrilo I, Schaller K, Bijlenga P. Augmented reality-assisted bypass surgery: embracing minimal invasiveness. World Neurosurg 2014; 83:596-602. [PMID: 25527874 DOI: 10.1016/j.wneu.2014.12.020] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2014] [Accepted: 12/10/2014] [Indexed: 11/20/2022]
Abstract
OBJECTIVE The overlay of virtual images on the surgical field, defined as augmented reality, has been used for image guidance during various neurosurgical procedures. Although this technology could conceivably address certain inherent problems of extracranial-to-intracranial bypass procedures, this potential has not been explored to date. We evaluate the usefulness of an augmented reality-based setup, which could help in harvesting donor vessels through their precise localization in real-time, in performing tailored craniotomies, and in identifying preoperatively selected recipient vessels for the purpose of anastomosis. METHODS Our method was applied to 3 patients with Moya-Moya disease who underwent superficial temporal artery-to-middle cerebral artery anastomoses and 1 patient who underwent an occipital artery-to-posteroinferior cerebellar artery bypass because of a dissecting aneurysm of the vertebral artery. Patients' heads, skulls, and extracranial and intracranial vessels were segmented preoperatively from 3-dimensional image data sets (3-dimensional digital subtraction angiography, angio-magnetic resonance imaging, angio-computed tomography), and injected intraoperatively into the operating microscope's eyepiece for image guidance. RESULTS In each case, the described setup helped in precisely localizing donor and recipient vessels and in tailoring craniotomies to the injected images. CONCLUSIONS The presented system based on augmented reality can optimize the workflow of extracranial-to-intracranial bypass procedures by providing essential anatomical information, entirely integrated to the surgical field, and help to perform minimally invasive procedures.
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Affiliation(s)
- Ivan Cabrilo
- Neurosurgery Division, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University Medical Center, Geneva, Switzerland.
| | - Karl Schaller
- Neurosurgery Division, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University Medical Center, Geneva, Switzerland
| | - Philippe Bijlenga
- Neurosurgery Division, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University Medical Center, Geneva, Switzerland
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Cabrilo I, Sarrafzadeh A, Bijlenga P, Landis B, Schaller K. Augmented reality-assisted skull base surgery. Neurochirurgie 2014; 60:304-6. [DOI: 10.1016/j.neuchi.2014.07.001] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2014] [Revised: 05/29/2014] [Accepted: 07/19/2014] [Indexed: 12/01/2022]
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Affiliation(s)
- Ivan Cabrilo
- Neurosurgery Division, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University Medical Center, Geneva, Switzerland
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Cabrilo I, Bijlenga P, Schaller K. Augmented reality in the surgery of cerebral arteriovenous malformations: technique assessment and considerations. Acta Neurochir (Wien) 2014; 156:1769-74. [PMID: 25037466 DOI: 10.1007/s00701-014-2183-9] [Citation(s) in RCA: 75] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2014] [Accepted: 07/10/2014] [Indexed: 11/28/2022]
Abstract
BACKGROUND Augmented reality technology has been used for intraoperative image guidance through the overlay of virtual images, from preoperative imaging studies, onto the real-world surgical field. Although setups based on augmented reality have been used for various neurosurgical pathologies, very few cases have been reported for the surgery of arteriovenous malformations (AVM). We present our experience with AVM surgery using a system designed for image injection of virtual images into the operating microscope's eyepiece, and discuss why augmented reality may be less appealing in this form of surgery. METHODS N = 5 patients underwent AVM resection assisted by augmented reality. Virtual three-dimensional models of patients' heads, skulls, AVM nidi, and feeder and drainage vessels were selectively segmented and injected into the microscope's eyepiece for intraoperative image guidance, and their usefulness was assessed in each case. RESULTS Although the setup helped in performing tailored craniotomies, in guiding dissection and in localizing drainage veins, it did not provide the surgeon with useful information concerning feeder arteries, due to the complexity of AVM angioarchitecture. CONCLUSION The difficulty in intraoperatively conveying useful information on feeder vessels may make augmented reality a less engaging tool in this form of surgery, and might explain its underrepresentation in the literature. Integrating an AVM's hemodynamic characteristics into the augmented rendering could make it more suited to AVM surgery.
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Affiliation(s)
- Ivan Cabrilo
- Neurosurgery Division, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University Medical Center, Rue Gabrielle-Perret-Gentil 4, 1211, Genève 14, Switzerland,
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