A Novel System for the 3-D Reconstruction of the Human Spine and Rib Cage From Biplanar X-Ray Images

The main objective of this study was to develop a 3D X-ray reconstruction system of the spine and rib cage for an accurate 3D clinical assessment of spinal deformities. The system currently used at Sainte-Justine Hospital in Montreal is based on an implicit calibration technique based on a direct li...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2007-07, Vol.54 (7), p.1356-1358
Main Authors: Cheriet, F., Laporte, C., Kadoury, S., Labelle, H., Dansereau, J.
Format: Article
Language:English
Subjects:
3-D reconstruction
Algorithms
Anatomical structure
Calibration
Explicit calibration
Extrapolation
Geometry
Hospitals
Humans
Image reconstruction
Imaging, Three-Dimensional - methods
nonlinear optimization
Radiographic Image Enhancement - methods
Radiographic Image Interpretation, Computer-Assisted - methods
Reproducibility of Results
Ribs - diagnostic imaging
Sensitivity and Specificity
spinal deformities
Spine
Spine - diagnostic imaging
Three dimensional displays
X-ray images
X-ray imaging
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Summary:The main objective of this study was to develop a 3D X-ray reconstruction system of the spine and rib cage for an accurate 3D clinical assessment of spinal deformities. The system currently used at Sainte-Justine Hospital in Montreal is based on an implicit calibration technique based on a direct linear transform (DLT), using a sufficiently large rigid object incorporated in the positioning apparatus to locate any anatomical structure to be reconstructed within its bounds. During the time lapse between the two successive X-ray acquisitions required for the 3D reconstruction, involuntary patient motion introduce errors due to the incorrect epipolar geometry inferred from the stationary object. An approach using a new calibration jacket and explicit calibration algorithm is proposed in this paper. This approach yields accurate results and compensates for involuntary motion occurring between X-ray exposures.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2006.889205