Abstract
Nowadays, conventional X-ray radiographs are still the images of choice for evaluating spinal deformaties such as scoliosis. However, digital translation reconstruction gives easy access to high quality, digital overview images of the entire spine. This work aims at improving the description of the scoliotic deformity by developing semi-automated tools to assist the extraction of anatomical landmarks (on vertebral bodies and pedicles) and the calculation of deformity quantifying parameters. These tools are currently validated in a clinical setting.
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CITATION STYLE
Verdonck, B., Nijlunsing, R., Gerritsen, F. A., Cheung, J., Wever, D. J., Veldhuizen, A., … Makram-Ebeid, S. (1998). Computer assisted quantitative analysis of deformities of the human spine. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1496, pp. 822–831). Springer Verlag. https://doi.org/10.1007/bfb0056270
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