NDLI: 3D Reconstruction of Patient Specific Bone Models from 2D Radiographs for Image Guided Orthopedic Surgery

Content Provider	IEEE Xplore Digital Library
Author	Gamage, P. Xie, S.Q. Delmas, P. Xu, P.
Copyright Year	2009
Abstract	Three dimensional (3D) visualization of anatomy plays an important role in image guided orthopedic surgery and ultimately motivates minimally invasive procedures. However, direct 3D imaging modalities such as Computed Tomography (CT) are restricted to a minority of complex orthopedic procedures. Thus the diagnostics and planning of many interventions still rely on two dimensional (2D) radiographic images, where the surgeon has to mentally visualize the anatomy of interest. The purpose of this paper is to apply and validate a bi-planar 3D reconstruction methodology driven by prominent bony anatomy edges and contours identified on orthogonal radiographs. The results obtained through the proposed methodology are benchmarked against 3D CT scan data to assess the accuracy of reconstruction. The human femur has been used as the anatomy of interest throughout the paper. The novelty of this methodology is that it not only involves the outer contours of the bony anatomy in the reconstruction but also several key interior edges identifiable on radiographic images. Hence, this framework is not simply limited to long bones, but is generally applicable to a multitude of other bony anatomies as illustrated in the results section.
Starting Page	212
Ending Page	216
File Size	1169139
Page Count	5
File Format	PDF
ISBN	9781424452972
DOI	10.1109/DICTA.2009.42
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-01
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Minimally invasive surgery Orthopedic surgery Computed tomography Orthopedic procedures 3D Bone Reconstruction Bones Anatomy Diagnostic radiography Surges Patient-Specific Bone Customization Image reconstruction
Content Type	Text
Resource Type	Article

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