scholarly journals Automatic localization of endoscope in intraoperative CT image: A simple approach to augmented reality guidance in laparoscopic surgery

2016 ◽  
Vol 30 ◽  
pp. 130-143 ◽  
Author(s):  
Sylvain Bernhardt ◽  
Stéphane A. Nicolau ◽  
Vincent Agnus ◽  
Luc Soler ◽  
Christophe Doignon ◽  
...  
2020 ◽  
Vol 32 (4) ◽  
pp. 542-547 ◽  
Author(s):  
Huan Liu ◽  
Junlong Wu ◽  
Yu Tang ◽  
Haiyin Li ◽  
Wenkai Wang ◽  
...  

OBJECTIVEThe authors aimed to assess, in a bone-agar experimental setting, the feasibility and accuracy of percutaneous lumbar pedicle screw placements using an intraoperative CT image–based augmented reality (AR)–guided method compared to placements using a radiograph-guided method. They also compared two AR hologram alignment methods.METHODSTwelve lumbar spine sawbones were completely embedded in hardened opaque agar, and a cubic marker was fixed on each phantom. After intraoperative CT, a 3D model of each phantom was generated, and a specialized application was deployed into an AR headset (Microsoft HoloLens). One hundred twenty pedicle screws, simulated by Kirschner wires (K-wires), were placed by two experienced surgeons, who each placed a total of 60 screws: 20 placed with a radiograph-guided technique, 20 with an AR technique in which the hologram was manually aligned, and 20 with an AR technique in which the hologram was automatically aligned. For each K-wire, the insertion path was expanded to a 6.5-mm diameter to simulate a lumbar pedicle screw. CT imaging of each phantom was performed after all K-wire placements, and the operative time required for each K-wire placement was recorded. An independent radiologist rated all images of K-wire placements. Outcomes were classified as grade I (no pedicle perforation), grade II (screw perforation of the cortex by up to 2 mm), or grade III (screw perforation of the cortex by > 2 mm). In a clinical situation, placements scored as grade I or II would be acceptable and safe for patients.RESULTSAmong all screw placements, 75 (94%) of 80 AR-guided placements and 40 (100%) of 40 radiograph-guided placements were acceptable (i.e., grade I or II; p = 0.106). Radiograph-guided placements had more grade I outcomes than the AR-guided method (p < 0.0001). The accuracy of the two AR alignment methods (p = 0.526) was not statistically significantly different, and neither was it different between the AR and radiograph groups (p < 0.0001). AR-guided placements required less time than the radiograph-guided placements (mean ± standard deviation, 131.76 ± 24.57 vs 181.43 ± 15.82 seconds, p < 0.0001). Placements performed using the automatic-alignment method required less time than those using the manual-alignment method (124.20 ± 23.80 vs 139.33 ± 23.21 seconds, p = 0.0081).CONCLUSIONSIn bone-agar experimental settings, AR-guided percutaneous lumbar pedicle screw placements were acceptable and more efficient than radiograph-guided placements. In a comparison of the two AR-guided placements, the automatic-alignment method was as accurate as the manual method but more efficient. Because of some limitations, the AR-guided system cannot be recommended in a clinical setting until there is significant improvement of this technology.


2014 ◽  
Vol 28 (7) ◽  
pp. 2227-2235 ◽  
Author(s):  
Xin Kang ◽  
Mahdi Azizian ◽  
Emmanuel Wilson ◽  
Kyle Wu ◽  
Aaron D. Martin ◽  
...  

Author(s):  
Zachary Baum

Purpose: Augmented reality overlay systems can be used to project a CT image directly onto a patient during procedures. They have been actively trialed for computer-guided procedures, however they have not become commonplace in practice due to restrictions of previous systems. Previous systems have not been handheld, and have had complicated calibration procedures. We put forward a handheld tablet-based system for assisting with needle interventions. Methods: The system consists of a tablet display and a 3-D printed reusable and customizable frame. A simple and accurate calibration method was designed to align the patient to the projected image. The entire system is tracked via camera, with respect to the patient, and the projected image is updated in real time as the system is moved around the region of interest. Results: The resulting system allowed for 0.99mm mean position error in the plane of the image, and a mean position error of 0.61mm out of the plane of the image. This accuracy was thought to be clinically acceptable for tool using computer-guidance in several procedures that involve musculoskeletal needle placements. Conclusion: Our calibration method was developed and tested using the designed handheld system. Our results illustrate the potential for the use of augmented reality handheld systems in computer-guided needle procedures. 


2015 ◽  
Vol 26 (4) ◽  
pp. 295-296
Author(s):  
Jungle Chi-Hsiang Wu ◽  
Yuan-Tien Ting ◽  
Ren-Wei Tzeng ◽  
Mao-Sheng Lin ◽  
Chien-Hsiang Wang

Author(s):  
Stijn De Buck ◽  
Johan Van Cleynenbreugel ◽  
Indra Geys ◽  
Thomas Koninckx ◽  
Philippe R. Koninck ◽  
...  

2006 ◽  
Vol 8 (2) ◽  
pp. 81-87
Author(s):  
Kozo Konishi ◽  
Masahiko Nakamoto ◽  
Yoshinobu Sato ◽  
Shinichi Tamura ◽  
Makoto Hashizume

2008 ◽  
Vol 23 (8) ◽  
pp. 1693-1700 ◽  
Author(s):  
Sanne M. B. I. Botden ◽  
Jack J. Jakimowicz

2011 ◽  
Vol 28 (4) ◽  
pp. 341-346 ◽  
Author(s):  
Satoshi Ieiri ◽  
Munenori Uemura ◽  
Kouzou Konishi ◽  
Ryota Souzaki ◽  
Yoshihiro Nagao ◽  
...  

2018 ◽  
Vol 5 (02) ◽  
pp. 1 ◽  
Author(s):  
Philip Edgcumbe ◽  
Rohit Singla ◽  
Philip Pratt ◽  
Caitlin Schneider ◽  
Christopher Nguan ◽  
...  

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