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


Sun,Xiaobang; Wang, Hongkai; Ristaniemi, Tapani (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, Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2396-2399. DOI: 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: http://doi.org/10.1109/EMBC44109.2020.9175295

Open Access: Publication channel is not openly available


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

Preliminary JUFO rating: 1


Last updated on 2020-01-09 at 11:03