
pmid: 15376511
The lateral bending test is routinely used by clinicians for the preoperative assessment of spinal mobility. The evaluation of bending motion is usually based on the qualitative analysis of a two-dimensional (2-D) antero-posterior X-ray image. The aim of this paper is to introduce a novel three-dimensional (3-D) reconstruction technique that is a prerequisite for the quantitative 3-D analysis of lateral bending motion. An algorithm was developed for the 3-D reconstruction of the spine from a single X-ray image. The X-ray is calibrated using a small calibration object and an explicit calibration algorithm. The information contained in the single X-ray is completed by registering a priori 3-D geometric models of individual vertebrae. Part of the error yielded by the 3-D/2-D registration is corrected by a vertebral alignment constraint that aims to minimize intervertebral dislocations. Three-dimensional models of 15 different scoliosis patients, obtained from a standard stereo-radiographic 3-D reconstruction, were used in simulation and validation experiments. Experimental results show that the new method is robust and accurate. With pessimistic levels of simulated noise, the average root mean square reconstruction error is 2.89 mm, which is appropriate for common clinical applications.
Models, Statistical, Phantoms, Imaging, Information Storage and Retrieval, Reproducibility of Results, Signal Processing, Computer-Assisted, Models, Biological, Sensitivity and Specificity, Spine, Pattern Recognition, Automated, Radiographic Image Enhancement, Imaging, Three-Dimensional, Scoliosis, Artificial Intelligence, Subtraction Technique, Calibration, Cluster Analysis, Radiographic Image Interpretation, Computer-Assisted, Computer Simulation, Algorithms
Models, Statistical, Phantoms, Imaging, Information Storage and Retrieval, Reproducibility of Results, Signal Processing, Computer-Assisted, Models, Biological, Sensitivity and Specificity, Spine, Pattern Recognition, Automated, Radiographic Image Enhancement, Imaging, Three-Dimensional, Scoliosis, Artificial Intelligence, Subtraction Technique, Calibration, Cluster Analysis, Radiographic Image Interpretation, Computer-Assisted, Computer Simulation, Algorithms
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 31 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
