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Reconstruction of 3D Vertebral Models
from a Single 2D Lateral Fluoroscopic
Image
Guoyan Zheng and Lutz-P. Nolte
Abstract Accurate three-dimensional (3D) models of lumbar vertebrae are required
for image-based 3D kinematics analysis. MRI or CT datasets are frequently used
to derive 3D models but have the disadvantages that they are expensive, time-con-
suming or involving ionizing radiation (e.g., CT acquisition). In this chapter, we
present an alternative technique that can reconstruct a scaled 3D lumbar vertebral
model from a single two-dimensional (2D) lateral
fluoroscopic image and a statistical
shape model. Cadaveric studies are conducted to verify the reconstruction accuracy
by comparing the surface models reconstructed from a single lateral
fl
fluoroscopic
image to the ground truth data from 3D CT segmentation. A mean reconstruction
error between 0.7 and 1.4 mm was found.
fl
1 Introduction
Several studies have shown that
fluoroscopy is well-suited to in vivo lumbar spine
kinematics analysis due to its capability of screening patients during free motion
with an acceptably low radiation dosage [
1
,
2
]. The disadvantage of this technique,
however, lies in its limitation to planar motion analysis. To enable
fl
fluoroscopic
image-based 3D kinematic analysis, accurate three-dimensional (3D) models are
needed [
3
,
4
]. If kinematics of an implanted prosthesis is the interest, a Computer
Aided Design (CAD) model can be used [
5
]. However, this is not the case for
analyzing in vivo lumbar spine kinematics. Thus, MRI or CT datasets are frequently
used to derive 3D models, but have the disadvantages that they are expensive, time-
consuming or involving ionizing radiation (e.g., CT acquisition). In this paper, we
present a technique to reconstruct a scaled 3D lumbar vertebral model from a single
two-dimensional (2D) lateral
fl
fl
fluoroscopic image.
