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1 Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica

1 2011

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Automated geometric features evaluation method for normal foot skeleton model

Borucki B., Nowiński K., Chlebiej M., Rutkowski A., Adamczyk P., Laskowski J.

Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica

2011

Vol. 11, no. 4

61--75

Normal foot model is a geometric model of a healthy human foot. As the comparison of the processed feet requires a reference ideal healthy foot parameterization it was necessary to create such a model by defining skeleton geometric features and generating the feature set on a dataset population. Manual positioning of such number of landmarks is both a complex and time consuming task for a skilled radiologist, not to mention the total cost of such a procedure. Thus it was recommended to formulate an automated computer algorithm to perform this procedure with accuracy at a comparable level as the manual process. The following paper describes our approach based on automatic landmark positioning in a volumetric foot dataset. The proposed automated procedure is based on four main steps: manual landmark positioning on a reference dataset, registration of the reference dataset with the examined study, transformation of landmark positions from the reference dataset space into the examined dataset space, and calculation of the geometric features on the basis of landmarks positions. The results of our algorithm are presented and discussed in the context of pros and cons of the automated method itself as well as in the context of the generated normal foot model.