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

Institute of Mathematics and Image Computing

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.

Original language	English
Title of host publication	10th Internatioal Workshop on Biomedical Image Registration
Publication date	08.05.2022
Publication status	Published - 08.05.2022

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Cite this

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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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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 -