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Image guidance for robotic minimally invasive coronary artery bypass

Authors :
Figl, Michael
Rueckert, Daniel
Hawkes, David
Casula, Roberto
Hu, Mingxing
Pedro, Ose
Zhang, Dong Ping
Penney, Graeme
Bello, Fernando
Edwards, Philip
Source :
Computerized Medical Imaging & Graphics. Jan2010, Vol. 34 Issue 1, p61-68. 8p.
Publication Year :
2010

Abstract

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 &y& Elsevier]

Details

Language :
English
ISSN :
08956111
Volume :
34
Issue :
1
Database :
Academic Search Index
Journal :
Computerized Medical Imaging & Graphics
Publication Type :
Academic Journal
Accession number :
47057594
Full Text :
https://doi.org/10.1016/j.compmedimag.2009.08.002