A deformable image-based registration approach to obtain shape correspondence for statistical shape modeling of finger bones

Annkristin Lange; Stefan Heldmann; Jan Hendrik Moltz; Lars Walczak; Christiane Engel; Mia Detering; Anna Rörich; Felix Güttler; Sinef Yarar-Schlickewei; Joachim Georgii

A deformable image-based registration approach to obtain shape correspondence for statistical shape modeling of finger bones

Annkristin Lange, Stefan Heldmann, Jan Hendrik Moltz, Lars Walczak, Christiane Engel, Mia Detering, Anna Rörich, Felix Güttler, Sinef Yarar-Schlickewei, Joachim Georgii

Institut für Mathematische Methoden der Bildverarbeitung

Abstract

In this paper we introduce a registration approach based on deformable images to obtain the necessary shape correspondences to compute statistical shape models. We focus on the modelling of finger bones and have therefore developed an initialisation strategy based on cylindrical coordinates. First results of shape models for single bones and whole fingers are presented.

Originalsprache	Englisch
Titel	10th Internatioal Workshop on Biomedical Image Registration
Erscheinungsdatum	08.05.2022
Publikationsstatus	Veröffentlicht - 08.05.2022

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Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 9 – Industrie, Innovation und Infrastruktur

Zitieren

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title = "A deformable image-based registration approach to obtain shape correspondence for statistical shape modeling of finger bones",

abstract = "In this paper we introduce a registration approach based on deformable images to obtain the necessary shape correspondences to compute statistical shape models. We focus on the modelling of finger bones and have therefore developed an initialisation strategy based on cylindrical coordinates. First results of shape models for single bones and whole fingers are presented. ",

author = "Annkristin Lange and Stefan Heldmann and Moltz, \{Jan Hendrik\} and Lars Walczak and Christiane Engel and Mia Detering and Anna R{\"o}rich and Felix G{\"u}ttler and Sinef Yarar-Schlickewei and Joachim Georgii",

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T1 - A deformable image-based registration approach to obtain shape correspondence for statistical shape modeling of finger bones

AU - Lange, Annkristin

AU - Heldmann, Stefan

AU - Moltz, Jan Hendrik

AU - Walczak, Lars

AU - Engel, Christiane

AU - Detering, Mia

AU - Rörich, Anna

AU - Güttler, Felix

AU - Yarar-Schlickewei, Sinef

AU - Georgii, Joachim

PY - 2022/5/8

Y1 - 2022/5/8

N2 - In this paper we introduce a registration approach based on deformable images to obtain the necessary shape correspondences to compute statistical shape models. We focus on the modelling of finger bones and have therefore developed an initialisation strategy based on cylindrical coordinates. First results of shape models for single bones and whole fingers are presented.

AB - In this paper we introduce a registration approach based on deformable images to obtain the necessary shape correspondences to compute statistical shape models. We focus on the modelling of finger bones and have therefore developed an initialisation strategy based on cylindrical coordinates. First results of shape models for single bones and whole fingers are presented.

M3 - Conference contribution

BT - 10th Internatioal Workshop on Biomedical Image Registration

ER -