Quantifying torso deformity in scoliosis

Peter O. Ajemba; Anish Kumar; Nelson G. Durdle; V. James Raso

doi:10.1117/12.654227

15 March 2006 Quantifying torso deformity in scoliosis

Peter O. Ajemba, Anish Kumar, Nelson G. Durdle, V. James Raso

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 614450 (2006) https://doi.org/10.1117/12.654227
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

Scoliosis affects the alignment of the spine and the shape of the torso. Most scoliosis patients and their families are more concerned about the effect of scoliosis on the torso than its effect on the spine. There is a need to develop robust techniques for quantifying torso deformity based on full torso scans. In this paper, deformation indices obtained from orthogonal maps of full torso scans are used to quantify torso deformity in scoliosis. 'Orthogonal maps' are obtained by applying orthogonal transforms to 3D surface maps. (An 'orthogonal transform' maps a cylindrical coordinate system to a Cartesian coordinate system.) The technique was tested on 361 deformed computer models of the human torso and on 22 scans of volunteers (8 normal and 14 scoliosis). Deformation indices from the orthogonal maps correctly classified up to 95% of the volunteers with a specificity of 1.00 and a sensitivity of 0.91. In addition to classifying scoliosis, the system gives a visual representation of the entire torso in one view and is viable for use in a clinical environment for managing scoliosis.

Citation Download Citation

Peter O. Ajemba, Anish Kumar, Nelson G. Durdle, and V. James Raso "Quantifying torso deformity in scoliosis", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614450 (15 March 2006); https://doi.org/10.1117/12.654227

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