Literature DB >> 26899151

Development and Validation of a Near-Infrared Optical System for Tracking Surgical Instruments.

Qinyong Lin1, Ken Cai2, Rongqian Yang1, Huazhou Chen3, Zhigang Wang1, Jing Zhou1.   

Abstract

Surgical navigation systems can help doctors maximize the accuracy of surgeries, minimize operation durations, avoid mistakes, and improve the survival chances of patients. The tracking of device is an important component in surgical navigation systems. However, commercial surgical tracking devices are expensive, thus hindering the development of surgical navigation systems, particularly in developing countries. Therefore, an accurate and low-cost near-infrared optical tracking system is presented in this study for the real-time tracking of surgical tools and for measuring and displaying the positions of these tools relative to lesions and other targets inside a patient's body. A relative algorithm for the registration of surgical tools is also proposed in this paper to yield easy, safe, and precise tracking. Experiments are conducted to test the performance of the system. Results show that the mean square errors of the distances between the light-emitting points on the surgical tools are less than 0.3 mm, with the mean square error of distance between the tip and light-emitting points is less than 0.025 mm and that between two adjacent corner points is 0.2714 mm.

Entities:  

Keywords:  Near-infrared; Optical tracking system; Registration of the surgical tools; Surgical navigation

Mesh:

Year:  2016        PMID: 26899151     DOI: 10.1007/s10916-016-0462-0

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  15 in total

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2.  Designing optically tracked instruments for image-guided surgery.

Authors:  Jay B West; Calvin R Maurer
Journal:  IEEE Trans Med Imaging       Date:  2004-05       Impact factor: 10.048

3.  The Pathfinder image-guided surgical robot.

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5.  Development of a computer assisted system aimed at RFA liver surgery.

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6.  Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery.

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Journal:  Med Image Anal       Date:  2013-05-03       Impact factor: 8.545

7.  Automatic correction of registration errors in surgical navigation systems.

Authors:  Wolfgang Wittmann; Thomas Wenger; Benjamin Zaminer; Tim C Lueth
Journal:  IEEE Trans Biomed Eng       Date:  2011-07-29       Impact factor: 4.538

8.  An ultrasonic approach to localization of fiducial markers for interactive, image-guided neurosurgery--Part I: Principles.

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9.  Image guided surgery: new technology for surgery of soft tissue and bone sarcomas.

Authors:  K Reijnders; M H Coppes; A L J van Hulzen; J P Gravendeel; R J van Ginkel; H J Hoekstra
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10.  Comparison study of intraoperative surface acquisition methods for surgical navigation.

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Journal:  IEEE Trans Biomed Eng       Date:  2012-08-23       Impact factor: 4.538

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  2 in total

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2.  Optimization Model for the Distribution of Fiducial Markers in Liver Intervention.

Authors:  Qinyong Lin; Rongqian Yang; Lin Yang; Huazhou Chen; Bohan Li; Ken Cai
Journal:  J Med Syst       Date:  2020-03-09       Impact factor: 4.460

  2 in total

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