Literature DB >> 26123335

A simple sensor calibration technique for estimating the 3D pose of endoscopic instruments.

Vasileios Lahanas1, Constantinos Loukas2, Evangelos Georgiou2.   

Abstract

INTRODUCTION: The aim of this study was to describe a simple and easy-to-use calibration method that is able to estimate the pose (tip position and orientation) of a rigid endoscopic instrument with respect to an electromagnetic tracking device attached to the handle.
METHODS: A two-step calibration protocol was developed. First, the orientation of the instrument shaft is derived by performing a 360° rotation of the instrument around its shaft using a firmly positioned surgical trocar. Second, the 3D position of the instrument tip is obtained by allowing the tip to come in contact with a planar surface.
RESULTS: The results indicate submillimeter accuracy in the estimation of the tooltip position, and subdegree accuracy in the estimation of the shaft orientation, both with respect to a known reference frame. The assets of the proposed method are also highlighted by illustrating an indicative application in the field of augmented reality simulation.
CONCLUSIONS: The proposed method is simple, inexpensive, does not require employment of special calibration frames, and has potential applications not only in training systems but also in the operating room.

Keywords:  Instrument tracking; Laparoscopic simulation; Sensor calibration; Surgical assessment

Mesh:

Year:  2015        PMID: 26123335     DOI: 10.1007/s00464-015-4330-7

Source DB:  PubMed          Journal:  Surg Endosc        ISSN: 0930-2794            Impact factor:   4.584


  17 in total

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2.  Augmented reality haptic (ARH): an approach of electromagnetic tracking in minimally invasive surgery.

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Review 3.  Review of methods for objective surgical skill evaluation.

Authors:  Carol E Reiley; Henry C Lin; David D Yuh; Gregory D Hager
Journal:  Surg Endosc       Date:  2010-07-07       Impact factor: 4.584

4.  A vision-based surgical tool tracking approach for untethered surgery simulation and training.

Authors:  James English; Chu-Yin Chang; Neil Tardella; Jianjuen Hu
Journal:  Stud Health Technol Inform       Date:  2005

5.  Modelling and evaluation of surgical performance using hidden Markov models.

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Journal:  IEEE Trans Biomed Eng       Date:  2006-10       Impact factor: 4.538

6.  HMM assessment of quality of movement trajectory in laparoscopic surgery.

Authors:  Julian J H Leong; Marios Nicolaou; Louis Atallah; George P Mylonas; Ara W Darzi; Guang-Zhong Yang
Journal:  Comput Aided Surg       Date:  2007-11

Review 7.  VR to OR: a review of the evidence that virtual reality simulation improves operating room performance.

Authors:  Neal E Seymour
Journal:  World J Surg       Date:  2008-02       Impact factor: 3.352

Review 8.  Systems for tracking minimally invasive surgical instruments.

Authors:  M K Chmarra; C A Grimbergen; J Dankelman
Journal:  Minim Invasive Ther Allied Technol       Date:  2007       Impact factor: 2.442

9.  An integrated approach to endoscopic instrument tracking for augmented reality applications in surgical simulation training.

Authors:  Constantinos Loukas; Vasileios Lahanas; Evangelos Georgiou
Journal:  Int J Med Robot       Date:  2013-01-25       Impact factor: 2.547

10.  Towards virtual FLS: development of a peg transfer simulator.

Authors:  Venkata S Arikatla; Woojin Ahn; Ganesh Sankaranarayanan; Suvranu De
Journal:  Int J Med Robot       Date:  2013-09-13       Impact factor: 2.547

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  1 in total

1.  The impact of guided instrument insertion during laparoscopy: a randomized study with novices in an optical box trainer.

Authors:  Wolfgang Kunert; Carolin Land; Manuel Braun; Johannes Reichold; Andreas Kirschniak; Claudius Falch
Journal:  Surg Endosc       Date:  2019-05-21       Impact factor: 4.584

  1 in total

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