Statistical Shape Models of Tubular Shapes

Abstract: 

Statistical Shape Models capture the shape variation of a training set of shapes and can be registered to an image of an object of the class they represent by simple adjustment of their parameters. We have applied statistical shape models of healthy tracheas to the assessment and stenting of tracheal stenosis. The idea is that a model with healthy tracheas only will not be influenced by local geometric variations typical of stenosis. The model produces a shape that is an estimation of the shape of the patient's trachea if it were not narrowed. From this estimation, the automatic assessment of the stenosis and prediction of the patient specific stent is straightforward. The method has been validated with experiments using simulation and clinical data.

Publications: 
R. Pinho, K. G. Tournoy, R. Gosselin, and J. Sijbers, "Assessment of Tracheal Stenosis Using Active Shape Models of Healthy Tracheas: A Surface Registration Study", Proceedings of 2nd International Workshop on Pulmonary Image Analysis, pp. 125-136, September, 2009.
R. Pinho, T. Huysmans, W. Vos, and J. Sijbers, "Tracheal Stent Prediction Using Statistical Deformable Models of Tubular Shapes", Proceedings of SPIE Medical Imaging, San Diego, CA, USA, SPIE, February, 2008. Full text (773.58 KB)
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