ViKY Robotic Scope Holder: Initial Clinical Experience and Preliminary Results Using Instrument Tracking

Voros, Nikolaos S.; Haber, Georges-Pascal; Menudet, Jean-François; Long, Jean-Alexandre; Cinquin, Philippe

doi:10.1109/tmech.2010.2080683

Cited by 60 publications

(43 citation statements)

References 19 publications

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“…A compact endoscope manipulator was developed in France ( fig. 2c) and later on named the ViKY robotic scope holder (Endocontrol, Grenoble, France) [8,9]. The ViKY system is controlled by the surgeon using a pedal or vocal commands, allowing for basic displacement with large/small amplitude and automatic return to the memorized positions.…”

Section: Robot-assisted Rigid Endoscopymentioning

confidence: 99%

Robotic Endoscopy

Chiu²

2018

Visc Med

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Endoscopes extend the eyes of the physician into the patient's body. They are widely used in gastrointestinal (GI) diagnostics and minimally invasive surgery. Endoscopes can be classified into 3 types: rigid, flexible, and capsule endoscopes. Rigid and flexible endoscopes are traditionally held and manipulated by the physician to visualize the region of interest, while capsule endoscopes move passively along with the GI peristalsis. With the advancement of technology, robotic endoscopy has been increasingly developed and accepted. In this work, robotic endoscopy from 3 categories (robot-assisted rigid endoscopy, robot-assisted flexible endoscopy, and active GI endoscopy including active flexible colonoscopy and active capsule endoscopy) is reviewed by PubMed search with the criteria (‘Robotics' OR ‘Robot') and (‘Endoscopy' OR ‘Endoscope').

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Section: Robot-assisted Rigid Endoscopymentioning

confidence: 99%

Robotic Endoscopy

Chiu²

2018

Visc Med

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“…An important application with mediocre degree of autonomy is the automation of endoscope holding [36,254,256,278]. This task is usually carried out by an assistant, but during lengthy procedures, humans suffer from fatigue, hand tremor etc., therefore automation of this task is very appreciated by surgeons.…”

Section: Robot-assisted Surgerymentioning

confidence: 99%

Content-based processing and analysis of endoscopic images and videos: A survey

Münzer

Schoeffmann

Böszörményi

2017

Multimed Tools Appl

109

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In recent years, digital endoscopy has established as key technology for medical screenings and minimally invasive surgery. Since then, various research communities with manifold backgrounds have picked up on the idea of processing and automatically analyzing the inherently available video signal that is produced by the endoscopic camera. Proposed works mainly include image processing techniques, pattern recognition, machine learning methods and Computer Vision algorithms. While most contributions deal with realtime assistance at procedure time, the post-procedural processing of recorded videos is still in its infancy. Many post-processing problems are based on typical Multimedia methods like indexing, retrieval, summarization and video interaction, but have only been sparsely addressed so far for this domain. The goals of this survey are (1) to introduce this research field to a broader audience in the Multimedia community to stimulate further research, (2) to describe domain-specific characteristics of endoscopic videos that need to be addressed in a pre-processing step, and (3) to systematically bring together the very diverse research results for the first time to provide a broader overview of related research that is currently not perceived as belonging together.

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“…17 More recent systems for vision-based instrument tracking for robotic camera holders have also been reported. 51,124 For retinal microsurgery instruments can be tracked using the images from the stereomicroscope and a recent technique has been developed using mutual information. 92 In addition to performing 2D tracking in the image space, 3D tracking of the instruments in a metric coordinate system is also possible.…”

Section: Instrument Detection and Trackingmentioning

confidence: 99%

Surgical Vision

Stoyanov

2011

Ann Biomed Eng

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The emergence of Minimal Access Surgery (MAS) as a paradigm in modern healthcare treatment has created new challenges and opportunities for automated image understanding and computer vision. In MAS, images recovered from inside the body using specialized devices are used to visualize and operate on the surgical site but they can also be used to computationally infer in vivo 3D tissue surface shape, soft-tissue morphology, and surgical instrument motion. This information is important for facilitating in vivo biophotonic imaging modalities where the interaction between light and tissue is used to infer the structural and functional properties of the tissue. This article provides a review of the literature for computer vision and image understanding techniques applied to MAS images. The focus of this article is to elucidate a perspective on how computer vision techniques can be used to support and enhance the capabilities of biophotonic imaging modalities during surgery. Note that while MAS encompasses a variety of surgical specializations this review does not involve procedures performed in the interventional suite. The review has been carried out based on searches in the PubMed and IEEE databases using the article's keywords.

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ViKY Robotic Scope Holder: Initial Clinical Experience and Preliminary Results Using Instrument Tracking

Cited by 60 publications

References 19 publications

Robotic Endoscopy

Robotic Endoscopy

Content-based processing and analysis of endoscopic images and videos: A survey

Surgical Vision

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