Electromagnetic tracking for abdominal interventions in computer aided surgery
| Autor: | Neil Glossop, David Lindisch, Kevin Cleary, Elliot Levy, Ralph Lin, Filip Banovac, Bradford J. Wood, Hui Zhang |
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| Rok vydání: | 2006 |
| Předmět: |
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Radiography Interventional Imaging phantom Article Abdomen Image Processing Computer-Assisted Medicine Animals Minimally Invasive Surgical Procedures Computer vision Segmentation book business.industry Orientation (computer vision) Phantoms Imaging Navigation system Equipment Design Computer aided surgery Computer Science Applications Visualization Surgery Computer-Assisted Computer-aided book.journal Surgery Affine transformation Artificial intelligence Family Practice business Electromagnetic Phenomena Algorithms |
| Zdroj: | Computer aided surgery : official journal of the International Society for Computer Aided Surgery. 11(3) |
| ISSN: | 1092-9088 |
| Popis: | Electromagnetic tracking has great potential for assisting physicians in precision placement of instruments during minimally invasive interventions in the abdomen, since electromagnetic tracking is not limited by the line-of-sight restrictions of optical tracking. A new generation of electromagnetic tracking has recently become available, with sensors small enough to be included in the tips of instruments. To fully exploit the potential of this technology, our research group has been developing a computer aided, image-guided system that uses electromagnetic tracking for visualization of the internal anatomy during abdominal interventions. As registration is a critical component in developing an accurate image-guided system, we present three registration techniques: 1) enhanced paired-point registration (time-stamp match registration and dynamic registration); 2) orientation-based registration; and 3) needle shape-based registration. Respiration compensation is another important issue, particularly in the abdomen, where respiratory motion can make precise targeting difficult. To address this problem, we propose reference tracking and affine transformation methods. Finally, we present our prototype navigation system, which integrates the registration, segmentation, path-planning and navigation functions to provide real-time image guidance in the clinical environment. The methods presented here have been tested with a respiratory phantom specially designed by our group and in swine animal studies under approved protocols. Based on these tests, we conclude that our system can provide quick and accurate localization of tracked instruments in abdominal interventions, and that it offers a user-friendly display for the physician. |
| Databáze: | OpenAIRE |
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