A clinically applicable laser-based image-guided system for laparoscopic liver procedures

Autor: Stefan Weber, Huanxiang Lu, Hanspeter Hess, Pascale Tinguely, Matteo Fusaglia, Matthias Peterhans, Marius Schwalbe
Rok vydání: 2015
Předmět:
Accuracy and precision
medicine.medical_specialty
Liver procedures
0206 medical engineering
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Biomedical Engineering
610 Medicine & health
Health Informatics
02 engineering and technology
030230 surgery
Image (mathematics)
law.invention
Motion
03 medical and health sciences
0302 clinical medicine
law
medicine
Humans
Radiology
Nuclear Medicine and imaging
Computer vision
Phantoms
Imaging
business.industry
Lasers
Process (computing)
Triangulation (social science)
General Medicine
Laser
020601 biomedical engineering
Computer Graphics and Computer-Aided Design
Computer Science Applications
Surgery
Image-guided surgery
Liver
Surgery
Computer-Assisted
570 Life sciences
biology
Laparoscopy
Computer Vision and Pattern Recognition
Artificial intelligence
Focus (optics)
business
Zdroj: Fusaglia, Matteo; Hess, Hanspeter; Schwalbe, Marius; Peterhans, Matthias; Tinguely, Pascale Marie-Pia; Weber, Stefan; Lu, Huanxiang (2015). A clinically applicable laser-based image-guided system for laparoscopic liver procedures. International Journal of Computer Assisted Radiology and Surgery, 11(8), pp. 1499-1513. Springer 10.1007/s11548-015-1309-8
ISSN: 1861-6429
1861-6410
Popis: Laser range scanners (LRS) allow performing a surface scan without physical contact with the organ, yielding higher registration accuracy for image-guided surgery (IGS) systems. However, the use of LRS-based registration in laparoscopic liver surgery is still limited because current solutions are composed of expensive and bulky equipment which can hardly be integrated in a surgical scenario. In this work, we present a novel LRS-based IGS system for laparoscopic liver procedures. A triangulation process is formulated to compute the 3D coordinates of laser points by using the existing IGS system tracking devices. This allows the use of a compact and cost-effective LRS and therefore facilitates the integration into the laparoscopic setup. The 3D laser points are then reconstructed into a surface to register to the preoperative liver model using a multi-level registration process. Experimental results show that the proposed system provides submillimeter scanning precision and accuracy comparable to those reported in the literature. Further quantitative analysis shows that the proposed system is able to achieve a patient-to-image registration accuracy, described as target registration error, of $$3.2\pm 0.57\,\hbox {mm}$$ . We believe that the presented approach will lead to a faster integration of LRS-based registration techniques in the surgical environment. Further studies will focus on optimizing scanning time and on the respiratory motion compensation.
Databáze: OpenAIRE
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