Artificial enlargement of a training set for statistical shape models

Jyrki Lötjönen, Kari Antila, Elina Lamminmäki, J. Koikkalainen, M. Lilja, T. Cootes

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

11 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationFunctional Imaging and Modeling of the Heart
Subtitle of host publicationThird International Workshop, FIMH 2005
PublisherSpringer
Pages92-101
ISBN (Electronic)978-3-540-32081-4
ISBN (Print)978-3-540-26161-2
DOIs
Publication statusPublished - 2005
MoE publication typeA4 Article in a conference publication
Event3rd International Workshop on Functional Imaging and Modeling of the Heart, FIMH 2005 - Barcelona, Spain
Duration: 2 Jun 20054 Jun 2005
Conference number: 3

Publication series

SeriesLecture Notes in Computer Science
Volume3504
ISSN0302-9743

Conference

Conference3rd International Workshop on Functional Imaging and Modeling of the Heart, FIMH 2005
Abbreviated titleFIMH 2005
CountrySpain
CityBarcelona
Period2/06/054/06/05

Cite this

Lötjönen, J., Antila, K., Lamminmäki, E., Koikkalainen, J., Lilja, M., & Cootes, T. (2005). Artificial enlargement of a training set for statistical shape models. In Functional Imaging and Modeling of the Heart: Third International Workshop, FIMH 2005 (pp. 92-101). Springer. Lecture Notes in Computer Science, Vol.. 3504 https://doi.org/10.1007/11494621_10