Paper
5 March 2007 3D reconstruction of highly fragmented bone fractures
Andrew Willis, Donald Anderson, Thad Thomas, Thomas Brown, J. Lawrence Marsh
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Abstract
A system for the semi-automatic reconstruction of highly fragmented bone fractures, developed to aid in treatment planning, is presented. The system aligns bone fragment surfaces derived from segmentation of volumetric CT scan data. Each fragment surface is partitioned into intact- and fracture-surfaces, corresponding more or less to cortical and cancellous bone, respectively. A user then interactively selects fracture-surface patches in pairs that coarsely correspond. A final optimization step is performed automatically to solve the N-body rigid alignment problem. The work represents the first example of a 3D bone fracture reconstruction system and addresses two new problems unique to the reconstruction of fractured bones: (1) non-stationary noise inherent in surfaces generated from a difficult segmentation problem and (2) the possibility that a single fracture surface on a fragment may correspond to many other fragments.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrew Willis, Donald Anderson, Thad Thomas, Thomas Brown, and J. Lawrence Marsh "3D reconstruction of highly fragmented bone fractures", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65121P (5 March 2007); https://doi.org/10.1117/12.708683
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CITATIONS
Cited by 27 scholarly publications and 1 patent.
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KEYWORDS
Bone

Image segmentation

Tissues

Natural surfaces

Computed tomography

3D modeling

Reconstruction algorithms

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