A4 Article in conference proceedings
Registration-based Construction of a Whole-body Human Phantom Library for Anthropometric Modeling (2020)


Sun, X., Wang, H., & Ristaniemi, T. (2020). Registration-based Construction of a Whole-body Human Phantom Library for Anthropometric Modeling. In EMBC 2020 : Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 2396-2399). IEEE. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. https://doi.org/10.1109/EMBC44109.2020.9175295


JYU authors or editors


Publication details

All authors or editors: Sun, Xiaobang; Wang, Hongkai; Ristaniemi, Tapani

Parent publication: EMBC 2020 : Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Place and date of conference: Montreal, QC, Canada, 20.-24.7.2020

ISBN: 978-1-7281-1991-5

eISBN: 978-1-7281-1990-8

Journal or series: Annual International Conference of the IEEE Engineering in Medicine and Biology Society

ISSN: 2375-7477

eISSN: 1557-170X

Publication year: 2020

Pages range: 2396-2399

Publisher: IEEE

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/EMBC44109.2020.9175295

Publication open access: Not open

Publication channel open access:


Abstract

Various computational human phantoms have been proposed in the past decades, but few of them include delicate anthropometric variations. In this study, we build a whole-body phantom library including 145 anthropometric parameters. This library is constructed by registration-based pipeline, which transfers a standard whole-body anatomy template to an anthropometry-adjustable body shape library (MakeHuman™). Therefore, internal anatomical structures are created for body shapes of different anthropometric parameters. Based on the constructed library, we can generate individualized whole-body phantoms according to given arbitrary anthropometric parameters. Moreover, the proposed phantom library can also be converted to voxel-based and tetrahedron-based model for further personalized simulation. We hope this phantom library will serve as a computational tool in research community.


Keywords: imaging; Three-dimensional imaging; anthropometry

Free keywords: computational human phantoms; anthropometric modeling


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2020

JUFO rating: 1


Last updated on 2021-07-07 at 21:34