TY - GEN
T1 - Image guidance for robotic minimally invasive coronary artery bypass
AU - Figl, Michael
AU - Rueckert, Daniel
AU - Hawkes, David
AU - Casula, Roberto
AU - Hu, Mingxing
AU - Pedro, Ose
AU - Zhang, Dong Ping
AU - Penney, Graeme
AU - Bello, Fernando
AU - Edwards, Philip
PY - 2008
Y1 - 2008
N2 - 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 stabilization of the heart, thus the most dominant source of non-rigid deformation is the motion of the beating 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. We can then take the heart surface from the motion model and register it to the stereo-endoscopic images of the da Vinci robot using 2D-3D registration methods. We are investigating robust feature tracking and intensity-based methods for this purpose. 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.
AB - 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 stabilization of the heart, thus the most dominant source of non-rigid deformation is the motion of the beating 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. We can then take the heart surface from the motion model and register it to the stereo-endoscopic images of the da Vinci robot using 2D-3D registration methods. We are investigating robust feature tracking and intensity-based methods for this purpose. 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.
UR - http://www.scopus.com/inward/record.url?scp=50249096811&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-79982-5_23
DO - 10.1007/978-3-540-79982-5_23
M3 - Conference contribution
AN - SCOPUS:50249096811
SN - 3540799818
SN - 9783540799818
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 202
EP - 209
BT - Medical Imaging and Augmented Reality - 4th International Workshop, Proceedings
T2 - 4th International Workshop on Medical Imaging and Augmented Reality, MIAR 2008
Y2 - 1 August 2008 through 2 August 2008
ER -