Open Access
4 January 2018 Plan in 2-D, execute in 3-D: an augmented reality solution for cup placement in total hip arthroplasty
Javad Fotouhi, Clayton P. Alexander M.D., Mathias Unberath, Giacomo Taylor, Sing Chun Lee, Bernhard Fuerst, Alex Johnson M.D., Greg M. Osgood M.D., Russell H. Taylor, Harpal Khanuja M.D., Mehran Armand, Nassir Navab
Author Affiliations +
Abstract
Reproducibly achieving proper implant alignment is a critical step in total hip arthroplasty procedures that has been shown to substantially affect patient outcome. In current practice, correct alignment of the acetabular cup is verified in C-arm x-ray images that are acquired in an anterior–posterior (AP) view. Favorable surgical outcome is, therefore, heavily dependent on the surgeon’s experience in understanding the 3-D orientation of a hemispheric implant from 2-D AP projection images. This work proposes an easy to use intraoperative component planning system based on two C-arm x-ray images that are combined with 3-D augmented reality (AR) visualization that simplifies impactor and cup placement according to the planning by providing a real-time RGBD data overlay. We evaluate the feasibility of our system in a user study comprising four orthopedic surgeons at the Johns Hopkins Hospital and report errors in translation, anteversion, and abduction as low as 1.98 mm, 1.10 deg, and 0.53 deg, respectively. The promising performance of this AR solution shows that deploying this system could eliminate the need for excessive radiation, simplify the intervention, and enable reproducibly accurate placement of acetabular implants.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 2329-4302/2018/$25.00 © 2018 SPIE
Javad Fotouhi, Clayton P. Alexander M.D., Mathias Unberath, Giacomo Taylor, Sing Chun Lee, Bernhard Fuerst, Alex Johnson M.D., Greg M. Osgood M.D., Russell H. Taylor, Harpal Khanuja M.D., Mehran Armand, and Nassir Navab "Plan in 2-D, execute in 3-D: an augmented reality solution for cup placement in total hip arthroplasty," Journal of Medical Imaging 5(2), 021205 (4 January 2018). https://doi.org/10.1117/1.JMI.5.2.021205
Received: 14 September 2017; Accepted: 12 December 2017; Published: 4 January 2018
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CITATIONS
Cited by 37 scholarly publications.
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KEYWORDS
X-rays

X-ray imaging

Cameras

Surgery

Visualization

Augmented reality

3D image processing

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