Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.compmedimag.2009.08.002 | Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society |
Keywords | Field | DocType |
Endoscopic procedures,Medical robotics,Registration,Image-guided therapy | Endoscope,Coordinate system,Artery,Computer vision,Video processing,Computer science,Keying,Augmented reality,Artificial intelligence,Cardiac cycle,Robot | Journal |
Volume | Issue | ISSN |
34 | 1 | Computerized Medical Imaging and Graphics |
Citations | PageRank | References |
5 | 0.57 | 13 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Figl | 1 | 65 | 7.33 |
| Daniel Rueckert | 2 | 9338 | 637.58 |
| David Hawkes | 3 | 444 | 30.17 |
| Roberto Casula | 4 | 45 | 3.61 |
| Mingxing Hu | 5 | 377 | 31.19 |
| Ose Pedro | 6 | 11 | 1.39 |
| Dong Ping Zhang | 7 | 153 | 7.55 |
| Graeme Penney | 8 | 154 | 11.93 |
| Fernando Bello | 9 | 261 | 42.21 |
| Philip Edwards | 10 | 43 | 4.66 |