Literature DB >> 19773147

Image guidance for robotic minimally invasive coronary artery bypass.

Michael Figl1, Daniel Rueckert, David Hawkes, Roberto Casula, Mingxing Hu, Ose Pedro, Dong Ping Zhang, Graeme Penney, Fernando Bello, Philip Edwards.   

Abstract

A novel system for image guidance in totally endoscopic coronary artery bypass (TECAB) is presented. Key requirement is the availability of 2D-3D registration techniques that can deal with non-rigid motion and deformation. Image guidance for TECAB is mainly required before the mechanical stabilisation of the heart, when the most dominant source of misregistration is the deformation and non-rigid motion of the heart. To augment the images in the endoscope of the da Vinci robot, we have to find the transformation from the coordinate system of the preoperative imaging modality to the system of the endoscopic cameras. In a first step we build a 4D motion model of the beating heart. Intraoperatively we can use the ECG or video processing to determine the phase of the cardiac cycle, as well as the heart and respiratory frequencies. We then take the heart surface from the motion model and register it to the stereo endoscopic images of the da Vinci robot resp. of a validation system using photo-consistency. To take advantage of the fact that there is a whole image sequence available for registration, we use the different phases together to get the registration. We found the similarity function to be much smoother when using more phases. This also showed promising behaviour in convergence tests. Images of the vessels available in the preoperative coordinate system can then be transformed to the camera system and projected into the calibrated endoscope view using two video mixers with chroma keying. It is hoped that the augmented view can improve the efficiency of TECAB surgery and reduce the conversion rate to more conventional procedures. Copyright 2009 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2009        PMID: 19773147     DOI: 10.1016/j.compmedimag.2009.08.002

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  6 in total

1.  Real-time three-dimensional soft tissue reconstruction for laparoscopic surgery.

Authors:  Jędrzej Kowalczuk; Avishai Meyer; Jay Carlson; Eric T Psota; Shelby Buettner; Lance C Pérez; Shane M Farritor; Dmitry Oleynikov
Journal:  Surg Endosc       Date:  2012-05-31       Impact factor: 4.584

2.  Deformable three-dimensional model architecture for interactive augmented reality in minimally invasive surgery.

Authors:  Anant S Vemuri; Jungle Chi-Hsiang Wu; Kai-Che Liu; Hurng-Sheng Wu
Journal:  Surg Endosc       Date:  2012-06-27       Impact factor: 4.584

3.  Comparing the accuracy of the da Vinci Xi and da Vinci Si for image guidance and automation.

Authors:  James M Ferguson; Bryn Pitt; Alan Kuntz; Josephine Granna; Nicholas L Kavoussi; Naren Nimmagadda; Eric J Barth; Stanley Duke Herrell; Robert J Webster
Journal:  Int J Med Robot       Date:  2020-09-01       Impact factor: 2.483

4.  On mixed reality environments for minimally invasive therapy guidance: systems architecture, successes and challenges in their implementation from laboratory to clinic.

Authors:  Cristian A Linte; Katherine P Davenport; Kevin Cleary; Craig Peters; Kirby G Vosburgh; Nassir Navab; Philip Eddie Edwards; Pierre Jannin; Terry M Peters; David R Holmes; Richard A Robb
Journal:  Comput Med Imaging Graph       Date:  2013-02-08       Impact factor: 4.790

Review 5.  An Overview on Image Registration Techniques for Cardiac Diagnosis and Treatment.

Authors:  Azira Khalil; Siew-Cheok Ng; Yih Miin Liew; Khin Wee Lai
Journal:  Cardiol Res Pract       Date:  2018-08-08       Impact factor: 1.866

Review 6.  The Additional Diagnostic Value of the Three-dimensional Volume Rendering Imaging in Routine Radiology Practice.

Authors:  Alper H Duran; Munevver N Duran; Irfan Masood; Lynsey M Maciolek; Huda Hussain
Journal:  Cureus       Date:  2019-09-05
  6 in total

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