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Atlas-based Reconstruction of 3D Volumes of Lower Extremity from 2D Calibrated X-ray Images
Author(s) -
Weimin Ye,
Guoyan Zheng
Publication year - 2018
Publication title -
epic series in health sciences
Language(s) - English
Resource type - Conference proceedings
ISSN - 2398-5305
DOI - 10.29007/qxff
Subject(s) - atlas (anatomy) , computer science , spline (mechanical) , b spline , artificial intelligence , computer vision , parametrization (atmospheric modeling) , smoothness , regularization (linguistics) , thin plate spline , mathematics , mathematical analysis , geology , physics , spline interpolation , paleontology , quantum mechanics , radiative transfer , bilinear interpolation , thermodynamics
A new atlas-based 2D-3D reconstruction of 3D volumes of lower extremity from a pair of calibrated X-ray images was presented. The approach combines non-rigid 2D- 2D registration based 3D landmark reconstruction with the B-spline parametrization of TPS transformation, incorporating the smoothness property of B-splines for regularization. Efficacy of the present approach was evaluated on the calibrated X-ray images and CT data. Also, we take the knee joint articulation into consideration. Articulated B-spline parameterization leads to the almost same accuracy as individual B-spline parameterization and has the superiority over the latter when it comes to the prevention from the knee joint penetration.

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