Séverine Habert, Ulrich Eck, Pascal Fallavollita, Stefan Parent, Nassir Navab and Farida Cheriet
Article (2017)
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Open Access to the full text of this document Published Version Terms of Use: Creative Commons Attribution Non-commercial Download (424kB) |
Abstract
Minimally invasive surgeries (MISs) are gaining popularity as alternatives to conventional open surgeries. In thoracoscopic scoliosis MIS, fluoroscopy is used to guide pedicle screw placement and to visualise the effect of the intervention on the spine curvature. However, cosmetic external appearance is the most important concern for patients, while correction of the spine and achieving coronal and sagittal trunk balance are the top priorities for surgeons. The authors present the feasibility study of the first intra-operative assistive system for scoliosis surgery composed of a single RGBD camera affixed on a C-arm which allows visualising in real time the surgery effects on the patient trunk surface in the transverse plane. They perform three feasibility experiments from simulated data based on scoliotic patients to live acquisition from non-scoliotic mannequin and person, all showing that the proposed system accuracy is comparable with scoliotic surface reconstruction state of art.
Uncontrolled Keywords
- RGBD augmented C-arm
- bone
- coronal trunk balance
- cosmetic external appearance
- diagnostic radiography
- diseases
- first intraoperative assistive system
- fluoroscopy
- image sensors
- live acquisition
- medical robotics
- minimally invasive scoliosis surgery assistance
- nonscoliotic mannequin
- patient trunk surface
- pedicle screw placement
- sagittal trunk balance
- scoliotic patients
- scoliotic surface reconstruction
- single RGBD camera
- spine curvature
- surgery
- thoracoscopic scoliosis MIS
- transverse plane
Subjects: |
1900 Biomedical engineering > 1901 Biomedical technology 2800 Artificial intelligence > 2800 Artificial intelligence (Computer vision, see 2603) |
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Department: | Department of Computer Engineering and Software Engineering |
Research Center: | LIV4D - Laboratoire d'imagerie et de vision 4D |
Funders: | Deutsche Forschungsgemeinschaft |
Grant number: | NA 620/30-1 |
PolyPublie URL: | https://publications.polymtl.ca/4916/ |
Journal Title: | Healthcare Technology Letter (vol. 4, no. 5) |
Publisher: | Institution of Engineering and Technology (IET) |
DOI: | 10.1049/htl.2017.0069 |
Official URL: | https://doi.org/10.1049/htl.2017.0069 |
Date Deposited: | 03 Nov 2021 15:23 |
Last Modified: | 09 Apr 2025 04:10 |
Cite in APA 7: | Habert, S., Eck, U., Fallavollita, P., Parent, S., Navab, N., & Cheriet, F. (2017). Application of an RGBD augmented C-arm for minimally invasive scoliosis surgery assistance. Healthcare Technology Letter, 4(5), 179-183. https://doi.org/10.1049/htl.2017.0069 |
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