scholarly journals A Splint-to-CT Data Registration Strategy for Maxillary Navigation Surgery

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Shinsuke Yamamoto ◽  
Shigeo Hara ◽  
Toshihiko Takenobu

Computer-assisted navigation plays an important role in modern craniomaxillofacial surgery. Although headpins and skull posts are widely used for the fixation of the reference frame, they require the use of invasive procedures. Headbands are easily displaced intraoperatively, thus reducing the accuracy of the surgical outcome. This study reported the utility of a novel splint integrated with a reference frame and registration markers for maxillary navigation surgery. A maxillary splint with a 10 cm resin handle was fabricated before surgery, to fix the reference frame to the splint. The splint was set after the incorporation of fiducial gutta-percha markers into both the splint and resin handle for marker-based pair-point registration. A computed tomography (CT) scan was acquired for preoperative CT-based planning. A marker-based pair-point registration procedure can be completed easily and noninvasively using this custom-made integrated splint, and maxillary navigation surgery can be performed with high accuracy. This method also provides maximum convenience for the surgeon, as the splint does not require reregistration, and can be removed temporarily when required. The splint-to-CT data registration strategy has potential applicability not only for maxillary surgery but also for otolaryngologic surgery, neurosurgery, and surgical repair after craniofacial trauma.

Author(s):  
Shintaro Sukegawa ◽  
Takahiro Kanno

AbstractComputer-assisted surgery (CAS) and navigation offers significant improvements in patient orientation and safety in every facet of our specialty of maxillofacial surgery. Ranging from precisely planned orthognathic procedures to the removal of foreign bodies requiring extremely flexible surgical options, and from minimally invasive dental implantology procedures to radical tumor resections of the skull base, they have made their mark for improving the procedure safety, predictability, and accuracy of surgery and options for intraoperative adaptations. In the future, the application of CAS is expected to further reduce operative risks and surgery time, accompanied by a considerable decrease in patient stress.Navigation systems are effective for delicate and accurate oral and maxillofacial surgery, neurosurgery, otolaryngology, and orthopedic surgery.This section presents an overview of available navigation systems and their applications with a focus on clinical utility and the solutions they offer for problems/challenges in the field of oral and maxillofacial surgery.


2013 ◽  
Vol 24 (4) ◽  
pp. 1118-1122 ◽  
Author(s):  
Yong-Ha Kim ◽  
Dong-Woo Jung ◽  
Tae Gon Kim ◽  
Jun Ho Lee ◽  
Il-Kug Kim

2016 ◽  
Vol 7 (1) ◽  
pp. 8
Author(s):  
T. Vancouillie ◽  
Jan Victor ◽  
Patrick De Baets ◽  
Matthias Verstraete ◽  
Stijn Herregodts

The study of knee kinematics is used to analyse joint disorders, design of prosthetic devices, impact of surgical treatments and in general the study of the locomotion. In order to allow researchers to immediately visualise and interpret the influence of certain changes during tests and between different test setups, a testing procedure that allows on-line evaluation of knee kinematics, based on the principles of computer assisted navigation surgery, is established. A major challenge for this evaluation method is to identify the position of the bone relative to the attached markers prior to testing. In order to deal with this challenge a registration process is introduced. The theoretical derivation and optimisation of this registration process is derived and afterwards applied to a practical testing environment.


2017 ◽  
Vol 71 (3) ◽  
pp. 43-55
Author(s):  
Ahmet Altıntaş ◽  
Mustafa Çelik ◽  
Yakup Yegin ◽  
Sinan Canpolat ◽  
Burak Olgun ◽  
...  

Objectives: To explore the correlation between the volume of the aAgger nNasi (AN) cell bulge and the A-P length of the frontal recess (FR). Subjects and methods: In total, 120 patients, who underwent septoplasty, were included. All patients underwent preoperative paranasal sinus computed tomography of the paranasal sinuses (PNS CT) imaging. In total, CT data on of all 120 PNSs patients were analyzed in terms of thewith respect to the extent of pneumatization of the AN cell bulge and the A-P dimensions of the FR. Each side was analyzed separately. Results: We included 120 patients,: 78 (65.0%) females and 42 (35.0 %) males. Their average age was 33.7 ± 11.6 years (range: 18–65 years). The mean volume of the AN cell bulge was 0.26 ± 0.4 mm3 on both the right and left sides. The A-P length of the FR was 7.7 ± 2.2 mm. No significant between-side difference in the mean volume of the AN cell bulge was apparent observed (p=0.906). This volume did not differ significantly by age or sex (p=0.844 and p=0.971, respectively). We found no correlation between the volume of the AN cell bulge and the A-P length of the FR (r = 0.098, p=0.192). Conclusion: In the present study, no correlation between AN cell volume and the A-P length of the FR was found. When studying the anatomical complexity of the FR, it is essential to consider the AN cell volume. We suggest that preoperative CT imaging is critical when endoscopic sinus surgery is planned. However, further studies with larger numbers of patients are needed to explore the relationship between AN cell pneumatization and the anatomy of the FR.


Medicine ◽  
2020 ◽  
Vol 99 (3) ◽  
pp. e18875 ◽  
Author(s):  
Shuo Chen ◽  
Ying-Heng Liu ◽  
Xin Gao ◽  
Chan-Yuan Yang ◽  
Zhi Li

2008 ◽  
Vol 121 (5) ◽  
pp. 283e-287e ◽  
Author(s):  
Nils-Claudius Gellrich ◽  
Chung-Chih Yu ◽  
Christoph Zizelmann ◽  
Alexander Schramm

2019 ◽  
Vol 5 (1) ◽  
pp. 25-28
Author(s):  
Julio Alvarez-Gomez ◽  
Hubert Roth ◽  
Jürgen Wahrburg

AbstractIn this paper, we present an approach for getting an initial pose to use in a 2D/3D registration process for computer-assisted spine surgery. This is an iterative process that requires an initial pose close to the actual final pose. When using a proper initial pose, we get registrations within two millimeters of accuracy. Consequently, we developed a fully connected neural network (FCNN), which predicts the pose of a specific 2D image within an acceptable range. Therefore, we can use this result as the initial pose for the registration process. However, the inability of the FCNN for learning spatial attributes, and the decrease of the resolution of the images before inserting them in the FCNN, make the variance of the prediction large enough to make some of the predictions entirely out of the acceptable range. Additionally, new researches in deep learning field have shown that convolutional neural networks (CNNs) offer high advantages when the inputs of the net are images. We consider that using CNNs can help to improve our results, generalizing the system for a greater variety of inputs, and facilitating the integration with our current workflow. Then we present an outline for a CNN for our application, and some further steps we need to complete to achieve this implementation.


2014 ◽  
Vol 75 (S 02) ◽  
Author(s):  
S. Heredero ◽  
J. Solivera ◽  
A. Candau ◽  
A. Dean ◽  
F. Alamillos ◽  
...  

Skull Base ◽  
2005 ◽  
Vol 15 (S 2) ◽  
Author(s):  
Ralf Gutwald ◽  
R. Schön ◽  
M. Metzger ◽  
C. Zizelmann ◽  
N.-C. Gellrich ◽  
...  

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