@inbook{9f6f199c8a784c75988060f519b7cafb,
title = "Automatic construction of biventricular statistical shape models",
abstract = "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.",
author = "Frangi, {A. F.} and D. Rueckert and Schnabel, {J. A.} and Niessen, {W. J.}",
year = "2003",
doi = "10.1007/3-540-44883-7_3",
language = "English",
isbn = "3540402624",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag Italia",
pages = "18--29",
editor = "Magnin, {Isabelle E.} and Johan Montagnat and Patrick Clarysse and Jukka Nenonen and Toivo Katila",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Italy",
}