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