Abstract
Different methods were evaluated to enlarge artificially a training set which is used to build a statistical shape model. In this work, the shape model was built from MR data of 25 subjects and it consisted of ventricles, atria and epicardium. The method adding smooth non-rigid deformations to original training set examples produced the best results. The results indicated also that artificial deformation modes model better an unseen object than an equal number of standard PCA modes generated from original data.
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Lötjönen, J., Antila, K., Lamminmäki, E., Koikkalainen, J., Lilja, M., Cootes, T. (2005). Artificial Enlargement of a Training Set for Statistical Shape Models: Application to Cardiac Images. In: Frangi, A.F., Radeva, P.I., Santos, A., Hernandez, M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2005. Lecture Notes in Computer Science, vol 3504. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494621_10
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DOI: https://doi.org/10.1007/11494621_10
Publisher Name: Springer, Berlin, Heidelberg
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