A Novel 3D Torso Image Reconstruction
Procedure Using A Pair Of Digital Stereo
Back Images
Author(s)
A. Kumar & N. Durdle
Abstract
This paper presents a novel procedure for creating a 3D torso image from a pair
of stereo digital 2D back images. The aim of this procedure is to obtain 3D
images that can be used for assessment of external spinal deformities in scoliosis.
Scoliosis is a condition characterized by lateral deviation of the spine coupled
with rotation of individual vertebra resulting in visible torso asymmetries. The
procedure provides clinicians with a cost effective and mobile setup of acquiring
3D images. To improve the registration process, a novel approach combining
tree weighted colour based image segmentation and differential geometry was
developed. Image reconstruction involved pre-processing, triangulation and
texture application to obtain a 3D image. Analysis was performed using human
subjects and objects of known dimension. Evaluation of system performance was
done against existing stereovision procedures and range scanning systems. The
final 3D image was compared to that obtained from the Konica Minolta Vivid
700 laser scanner. Each image was divided into 360 cross sections for evaluation
against size and shape. The 3D image reconstructed from this novel procedure
was 75–100% accurate when compared against the 3D image from the laser
scanner. The results demonstrate that the procedure is a cost effective clinical
tool for assessing torso shape and symmetry.
Keywords: scoliosis, registration, image reconstruction, belief propagation,
differential geometry, disparity map.
Keywords
scoliosis, registration, image reconstruction, belief propagation,
differential geometry, disparity map.
Related Book
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