Literature DB >> 24438993

Hand gesture guided robot-assisted surgery based on a direct augmented reality interface.

Rong Wen1, Wei-Liang Tay2, Binh P Nguyen3, Chin-Boon Chng1, Chee-Kong Chui1.   

Abstract

Radiofrequency (RF) ablation is a good alternative to hepatic resection for treatment of liver tumors. However, accurate needle insertion requires precise hand-eye coordination and is also affected by the difficulty of RF needle navigation. This paper proposes a cooperative surgical robot system, guided by hand gestures and supported by an augmented reality (AR)-based surgical field, for robot-assisted percutaneous treatment. It establishes a robot-assisted natural AR guidance mechanism that incorporates the advantages of the following three aspects: AR visual guidance information, surgeon's experiences and accuracy of robotic surgery. A projector-based AR environment is directly overlaid on a patient to display preoperative and intraoperative information, while a mobile surgical robot system implements specified RF needle insertion plans. Natural hand gestures are used as an intuitive and robust method to interact with both the AR system and surgical robot. The proposed system was evaluated on a mannequin model. Experimental results demonstrated that hand gesture guidance was able to effectively guide the surgical robot, and the robot-assisted implementation was found to improve the accuracy of needle insertion. This human-robot cooperative mechanism is a promising approach for precise transcutaneous ablation therapy.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Augmented interaction; Augmented reality; Human–robot cooperation; Image-guided surgery; Projector-camera system; Visual guidance

Mesh:

Year:  2014        PMID: 24438993     DOI: 10.1016/j.cmpb.2013.12.018

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  8 in total

1.  Design of a haptic device with grasp and push-pull force feedback for a master-slave surgical robot.

Authors:  Zhenkai Hu; Chae-Hyun Yoon; Samuel Byeongjun Park; Yung-Ho Jo
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-12-08       Impact factor: 2.924

2.  Augmented visualization with depth perception cues to improve the surgeon's performance in minimally invasive surgery.

Authors:  Lucio Tommaso De Paolis; Valerio De Luca
Journal:  Med Biol Eng Comput       Date:  2018-12-04       Impact factor: 2.602

Review 3.  Touchless interaction with software in interventional radiology and surgery: a systematic literature review.

Authors:  André Mewes; Bennet Hensen; Frank Wacker; Christian Hansen
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-09-19       Impact factor: 2.924

4.  Augmented reality-based autostereoscopic surgical visualization system for telesurgery.

Authors:  Tianqi Huang; Ruiyang Li; Yangxi Li; Xinran Zhang; Hongen Liao
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-08-07       Impact factor: 2.924

5.  Refocusing a scanned laser projector for small and bright images: simultaneously controlling the profile of the laser beam and the boundary of the image.

Authors:  Samantha Horvath; John Galeotti; Mel Siegel; George Stetten
Journal:  Appl Opt       Date:  2014-08-20       Impact factor: 1.980

6.  Evaluation of Kinect 3D Sensor for Healthcare Imaging.

Authors:  Stefanie T L Pöhlmann; Elaine F Harkness; Christopher J Taylor; Susan M Astley
Journal:  J Med Biol Eng       Date:  2016-12-09       Impact factor: 1.553

7.  A Gesture-Controlled Rehabilitation Robot to Improve Engagement and Quantify Movement Performance.

Authors:  Ava D Segal; Mark C Lesak; Anne K Silverman; Andrew J Petruska
Journal:  Sensors (Basel)       Date:  2020-07-31       Impact factor: 3.576

Review 8.  Augmented Reality and Image-Guided Robotic Liver Surgery.

Authors:  Fabio Giannone; Emanuele Felli; Zineb Cherkaoui; Pietro Mascagni; Patrick Pessaux
Journal:  Cancers (Basel)       Date:  2021-12-14       Impact factor: 6.639

  8 in total

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