scholarly journals 6DOF optical tracking system using afocal optics for image guided surgery

2015 ◽  
Vol 32 ◽  
pp. 04006 ◽  
Author(s):  
You Seong Chae ◽  
Seung Hyun Lee ◽  
Hyun Ki Lee ◽  
Hyungsuck Cho ◽  
Min Young Kim
2005 ◽  
Vol 132 (3) ◽  
pp. 435-442 ◽  
Author(s):  
Robert F. Labadie ◽  
Rohan J. Shah ◽  
Steve S. Harris ◽  
Ebru Cetinkaya ◽  
David S. Haynes ◽  
...  

OBJECTIVES: Application of image-guided surgery to otology has been limited by the need for sub-millimeter accuracy via a fiducial system that is easily usable (noninvasive and nonobstructive). METHODS: A dental bite-block was fitted with a rigid frame with 7 fiducial markers surrounding each external ear. The temporal bones of 3 cadaveric skulls were removed and replaced with surgical targets arranged in a bull's-eye pattern about the centroid of each temporal bone. The surgical targets were identified both within CT scans and in physical space using an infrared optical tracking system. The difference between positions in CT space versus physical space was calculated as target registration error. RESULTS: A total of 234 independent target registration errors were calculated. Mean ± standard deviation = 0.73 mm ± 0.25 mm. CONCLUSIONS: These findings show that image-guided otologic surgery with submillimeter accuracy is achievable with a minimally invasive fiducial frame. SIGNIFICANCE: In vivo validation of the system is ongoing. With such validation, this system may facilitate clinically applicable image-guided otologic surgery. EBM rating: A.


Author(s):  
You Seong Chae ◽  
Seung Hyun Lee ◽  
Hyun Ki Lee ◽  
Min Young Kim

2020 ◽  
Vol 10 (4) ◽  
pp. 1549
Author(s):  
Jeong Joon Han ◽  
Sang-Yoon Woo ◽  
Won-Jin Yi ◽  
Soon Jung Hwang

This study aimed to present a simplified and safe method to reposition the bone segment with easy identification and removing bone interference using a robot arm and image-guided navigation and to assess the accuracy for maxillary orthognathic surgery on phantom skulls. A surgical system consists of a robot arm with specialized end-effector, and image-guided navigation including the optical tracking system. The end-effector was designed to reflect the surgical procedures including identification and removal of bone interference and repositioning of the bone segment. To evaluate the handling and accuracy of this system, 10 phantom-based experiments were conducted according to four surgical plans. Mean absolute deviations at the upper central incisor were 0.10 ± 0.15 mm medio-laterally, 0.05 ± 0.07 mm antero-posteriorly, and 0.12 ± 0.15 mm supero-inferiorly. There was no significant difference in deviations between anterior and posterior regions of the maxilla. The mean root mean square deviation was 0.18 ± 0.16 mm, and ranged from 0.05 mm to 0.54 mm. The robot arm and image-guided navigation assisted surgical system would be helpful to manage bone interferences and reposition bone segments with improved accuracy. Though further technological advances are necessary, this study may provide a basis for developing clinically applicable robot assisted system for orthognathic surgery.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 52421-52433 ◽  
Author(s):  
Qinyong Lin ◽  
Rongqian Yang ◽  
Zhesi Zhang ◽  
Ken Cai ◽  
Zhigang Wang ◽  
...  

Methods ◽  
2001 ◽  
Vol 25 (2) ◽  
pp. 186-200 ◽  
Author(s):  
Richard D. Bucholz ◽  
Kurt R. Smith ◽  
Keith A. Laycock ◽  
Leslie L. McDurmont

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Xiaojing Shi ◽  
Caiguang Cao ◽  
Zeyu Zhang ◽  
Jie Tian ◽  
Zhenhua Hu

AbstractCerenkov luminescence imaging (CLI) is a novel optical imaging technique that has been applied in clinic using various radionuclides and radiopharmaceuticals. However, clinical application of CLI has been limited by weak optical signal and restricted tissue penetration depth. Various fluorescent probes have been combined with radiopharmaceuticals for improved imaging performances. However, as most of these probes only interact with Cerenkov luminescence (CL), the low photon fluence of CL greatly restricted it’s interaction with fluorescent probes for in vivo imaging. Therefore, it is important to develop probes that can effectively convert energy beyond CL such as β and γ to the low energy optical signals. In this study, a Eu3+ doped gadolinium oxide (Gd2O3:Eu) was synthesized and combined with radiopharmaceuticals to achieve a red-shifted optical spectrum with less tissue scattering and enhanced optical signal intensity in this study. The interaction between Gd2O3:Eu and radiopharmaceutical were investigated using 18F-fluorodeoxyglucose (18F-FDG). The ex vivo optical signal intensity of the mixture of Gd2O3:Eu and 18F-FDG reached 369 times as high as that of CLI using 18F-FDG alone. To achieve improved biocompatibility, the Gd2O3:Eu nanoparticles were then modified with polyvinyl alcohol (PVA), and the resulted nanoprobe PVA modified Gd2O3:Eu (Gd2O3:Eu@PVA) was applied in intraoperative tumor imaging. Compared with 18F-FDG alone, intraoperative administration of Gd2O3:Eu@PVA and 18F-FDG combination achieved a much higher tumor-to-normal tissue ratio (TNR, 10.24 ± 2.24 vs. 1.87 ± 0.73, P = 0.0030). The use of Gd2O3:Eu@PVA and 18F-FDG also assisted intraoperative detection of tumors that were omitted by preoperative positron emission tomography (PET) imaging. Further experiment of image-guided surgery demonstrated feasibility of image-guided tumor resection using Gd2O3:Eu@PVA and 18F-FDG. In summary, Gd2O3:Eu can achieve significantly optimized imaging property when combined with 18F-FDG in intraoperative tumor imaging and image-guided tumor resection surgery. It is expected that the development of the Gd2O3:Eu nanoparticle will promote investigation and application of novel nanoparticles that can interact with radiopharmaceuticals for improved imaging properties. This work highlighted the impact of the nanoprobe that can be excited by radiopharmaceuticals emitting CL, β, and γ radiation for precisely imaging of tumor and intraoperatively guide tumor resection.


Head & Neck ◽  
2021 ◽  
Author(s):  
Sarah Y. Bessen ◽  
Xiaotian Wu ◽  
Michael T. Sramek ◽  
Yuan Shi ◽  
David Pastel ◽  
...  

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