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Proceedings Paper

Towards clinical translation of augmented orthopedic surgery: from pre-op CT to intra-op x-ray via RGBD sensing
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Paper Abstract

Pre-operative CT data is available for several orthopedic and trauma interventions, and is mainly used to identify injuries and plan the surgical procedure. In this work we propose an intuitive augmented reality environment allowing visualization of pre-operative data during the intervention, with an overlay of the optical information from the surgical site. The pre-operative CT volume is first registered to the patient by acquiring a single C-arm X-ray image and using 3D/2D intensity-based registration. Next, we use an RGBD sensor on the C-arm to fuse the optical information of the surgical site with patient pre-operative medical data and provide an augmented reality environment. The 3D/2D registration of the pre- and intra-operative data allows us to maintain a correct visualization each time the C-arm is repositioned or the patient moves. An overall mean target registration error (mTRE) and standard deviation of 5.24 ± 3.09 mm was measured averaged over 19 C-arm poses. The proposed solution enables the surgeon to visualize pre-operative data overlaid with information from the surgical site (e.g. surgeon’s hands, surgical tools, etc.) for any C-arm pose, and negates issues of line-of-sight and long setup times, which are present in commercially available systems.

Paper Details

Date Published: 6 March 2018
PDF: 8 pages
Proc. SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 105790J (6 March 2018); doi: 10.1117/12.2293675
Show Author Affiliations
Emerson Tucker, Johns Hopkins Univ. (United States)
Technische Univ. München (Germany)
Javad Fotouhi, Johns Hopkins Univ. (United States)
Mathias Unberath, Johns Hopkins Univ. (United States)
Sing Chun Lee, Johns Hopkins Univ. (United States)
Bernhard Fuerst, Johns Hopkins Univ. (United States)
Alex Johnson, The Johns Hopkins Hospital (United States)
Mehran Armand, Johns Hopkins Univ. Applied Physics Lab., LLC (United States)
Greg M. Osgood, The Johns Hopkins Hospital (United States)
Nassir Navab, Johns Hopkins Univ. (United States)
Technische Univ. München (Germany)


Published in SPIE Proceedings Vol. 10579:
Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications
Jianguo Zhang; Po-Hao Chen, Editor(s)

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