Toward real-time 3D ultrasound registration-based visual servoing for interventional navigation
| Autor: | Benjamin Frisch, Marco Esposito, Oliver Zettinig, Edoardo Sinibaldi, Julia Rackerseder, Mehrdad Salehi, Risto Kojcev, Wolfgang Wein, Bernhard Fuerst, Nassir Navab |
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| Rok vydání: | 2016 |
| Předmět: |
Engineering
medicine.diagnostic_test business.industry 0206 medical engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing 02 engineering and technology Tracking (particle physics) Visual servoing 020601 biomedical engineering Imaging phantom 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Transducer medicine Robot 3D ultrasound Computer vision Needle insertion Artificial intelligence business |
| Zdroj: | ICRA |
| Popis: | While intraoperative imaging is commonly used to guide surgical interventions, automatic robotic support for image-guided navigation has not yet been established in clinical routine. In this paper, we propose a novel visual servoing framework that combines, for the first time, full image-based 3D ultrasound registration with a real-time servo-control scheme. Paired with multi-modal fusion to a pre-interventional plan such as an annotated needle insertion path, it thus allows tracking a target anatomy, continuously updating the plan as the target moves, and keeping a needle guide aligned for accurate manual insertion. The presented system includes a motorized 3D ultrasound transducer mounted on a force-controlled robot and a GPU-based image processing toolkit. The tracking accuracy of our framework is validated on a geometric agar/gelatin phantom using a second robot, achieving positioning errors of on average 0.42–0.44 mm. With compounding and registration runtimes of up to total around 550 ms, real-time performance comes into reach. We also present initial results on a spine phantom, demonstrating the feasibility of our system for lumbar spine injections. |
| Databáze: | OpenAIRE |
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