Chunxia Qin1,2, Zhenggang Cao2, Shengchi Fan3, Yiqun Wu3, Yi Sun4,5, Constantinus Politis4,5, Chunliang Wang6, Xiaojun Chen7. 1. School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China. 2. School of Mechanical Engineering, Shanghai Jiao Tong University, Room 805, Dongchuan Road 800, Minhang District, Shanghai, 200240, China. 3. Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. 4. OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, Katholieke Universiteit Leuven, Louvain, Belgium. 5. Department of Oral and Maxillofacial Surgery, University Hospitals Leuven, Louvain, Belgium. 6. Department of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Stockholm, Sweden. 7. School of Mechanical Engineering, Shanghai Jiao Tong University, Room 805, Dongchuan Road 800, Minhang District, Shanghai, 200240, China. xiaojunchen@sjtu.edu.cn.
Abstract
PURPOSE: Surgical navigation system (SNS) has been an important tool in surgery. However, the complicated and tedious manual selection of fiducial points on preoperative images for registration affects operational efficiency to large extent. In this study, an oral and maxillofacial navigation system named BeiDou-SNS with automatic identification of fiducial points was developed and demonstrated. METHODS: To solve the fiducial selection problem, a novel method of automatic localization for titanium screw markers in preoperative images is proposed on the basis of a sequence of two local mean-shift segmentation including removal of metal artifacts. The operation of the BeiDou-SNS consists of the following key steps: The selection of fiducial points, the calibration of surgical instruments, and the registration of patient space and image space. Eight cases of patients with titanium screws as fiducial markers were carried out to analyze the accuracy of the automatic fiducial point localization algorithm. Finally, a complete phantom experiment of zygomatic implant placement surgery was performed to evaluate the whole performance of BeiDou-SNS. RESULTS AND CONCLUSION: The coverage of Euclidean distances between fiducial marker positions selected automatically and those selected manually by an experienced dentist for all eight cases ranged from 0.373 to 0.847 mm. Four implants were inserted into the 3D-printed model under the guide of BeiDou-SNS. And the maximal deviations between the actual and planned implant were 1.328 mm and 2.326 mm, respectively, for the entry and end point while the angular deviation ranged from 1.094° to 2.395°. The results demonstrate that the oral surgical navigation system with automatic identification of fiducial points can meet the requirements of the clinical surgeries.
PURPOSE: Surgical navigation system (SNS) has been an important tool in surgery. However, the complicated and tedious manual selection of fiducial points on preoperative images for registration affects operational efficiency to large extent. In this study, an oral and maxillofacial navigation system named BeiDou-SNS with automatic identification of fiducial points was developed and demonstrated. METHODS: To solve the fiducial selection problem, a novel method of automatic localization for titanium screw markers in preoperative images is proposed on the basis of a sequence of two local mean-shift segmentation including removal of metal artifacts. The operation of the BeiDou-SNS consists of the following key steps: The selection of fiducial points, the calibration of surgical instruments, and the registration of patient space and image space. Eight cases of patients with titanium screws as fiducial markers were carried out to analyze the accuracy of the automatic fiducial point localization algorithm. Finally, a complete phantom experiment of zygomatic implant placement surgery was performed to evaluate the whole performance of BeiDou-SNS. RESULTS AND CONCLUSION: The coverage of Euclidean distances between fiducial marker positions selected automatically and those selected manually by an experienced dentist for all eight cases ranged from 0.373 to 0.847 mm. Four implants were inserted into the 3D-printed model under the guide of BeiDou-SNS. And the maximal deviations between the actual and planned implant were 1.328 mm and 2.326 mm, respectively, for the entry and end point while the angular deviation ranged from 1.094° to 2.395°. The results demonstrate that the oral surgical navigation system with automatic identification of fiducial points can meet the requirements of the clinical surgeries.
Authors: G Strauss; K Koulechov; S Röttger; J Bahner; C Trantakis; M Hofer; W Korb; O Burgert; J Meixensberger; D Manzey; A Dietz; T Lüth Journal: HNO Date: 2006-12 Impact factor: 1.284
Authors: Theodore R McRackan; Ramya Balachandran; Grégoire S Blachon; Jason E Mitchell; Jack H Noble; Charles G Wright; J Michael Fitzpatrick; Benoit M Dawant; Robert F Labadie Journal: Int J Comput Assist Radiol Surg Date: 2013-04-30 Impact factor: 2.924
Authors: Francesco Grecchi; Luigi V Stefanelli; Fabrizio Grivetto; Emma Grecchi; Rami Siev; Ziv Mazor; Massimo Del Fabbro; Nicola Pranno; Alessio Franchina; Vittorio Di Lucia; Francesca De Angelis; Funda Goker Journal: Int J Environ Res Public Health Date: 2021-06-07 Impact factor: 3.390