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Frangi, A.F.* ; Rueckert, D.* ; Schnabel, J.A.* ; Niessen, W.J.*

Automatic construction of biventricular statistical shape models.

In:. Berlin [u.a.]: Springer, 2003. 18-29 (Lect. Notes Comput. Sc. ; 2674)
DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
This paper presents a method for the generation of landmarks in three-dimensional shapes and the construction of the corresponding 3-D statistical shape models. The technique relies on establishing shape correspondances via a volumetric non-rigid registration technique using multi-resolution B-spline deformations. This approach presents some advantages over previously published methods: it can treat multiple-part structures, and it requires less restrictive assumptions on the structure's topology. In this paper we address the problem of building a three-dimensional statistical shape model of the left and right ventricles of the heart from 3-D Magnetic Resonance (MR) images. This application demonstrates the robustness and accuracy of the method in the presence of large shape variability and multiple objects. © Springer-Verlag Berlin Heidelberg 2003.
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Publikationstyp Artikel: Konferenzbeitrag
Korrespondenzautor
ISSN (print) / ISBN 0302-9743
e-ISSN 1611-3349
Zeitschrift Lecture Notes in Computer Science
Quellenangaben Band: 2674, Heft: , Seiten: 18-29 Artikelnummer: , Supplement: ,
Verlag Springer
Verlagsort Berlin [u.a.]
Nichtpatentliteratur Publikationen
Institut(e) Institute for Machine Learning in Biomed Imaging (IML)