Cited by 109Anatomy and Medical TechnologyAdvanced Radiotherapy TechniquesRadiation Dose and Imaging

Advances in computational human phantoms and their applications in biomedical engineering—a topical review

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Kainz, Wolfgang, Neufeld, Esra, Bolch, Wesley E., Graff, Christian G., Kim, Chan Hyeong, Kuster, Niels, Lloyd, Bryn, Morrison, Tina +5 more·2019·IEEE Transactions on Radiation and Plasma Medical Sciences

Abstract

Over the past decades, significant improvements have been made in the field of computational human phantoms (CHPs) and their applications in biomedical engineering. Their sophistication has dramatically increased. The very first CHPs were composed of simple geometric volumes, e.g., cylinders and spheres, while current CHPs have a high resolution, cover a substantial range of the patient population, have high anatomical accuracy, are poseable, morphable, and are augmented with various details to perform functionalized computations. Advances in imaging techniques and semi-automated segmentation tools allow fast and personalized development of CHPs. These advances open the door to quickly develop personalized CHPs, inherently including the disease of the patient. Because many of these CHPs are increasingly providing data for regulatory submissions of various medical devices, the validity, anatomical accuracy, and availability to cover the entire patient population is of utmost importance. The article is organized into two main sections: the first section reviews the different modeling techniques used to create CHPs, whereas the second section discusses various applications of CHPs in biomedical engineering. Each topic gives an overview, a brief history, recent developments, and an outlook into the future.

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References 185 · Cited by 109

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Authors
Kainz, W., Neufeld, E., Bolch, W. E., Graff, C. G., Kim, C. H., Kuster, N., Lloyd, B., Morrison, T., Segars, P., Yeom, Y. S., Zankl, M., Xu, X. G., & Tsui, B. M. W.
Affiliations
  • United States Food and Drug Administration (US)
  • Foundation for Research on Information Technologies in Society (CH)
  • University of Florida (US)
  • Hanyang University (KR)
  • Department of Radiology, Duke University, Durham, NC, USA
  • National Institutes of Health (US)
  • Helmholtz Munich (DE)
  • Rensselaer Polytechnic Institute (US)
  • Johns Hopkins University (US)
Venue
IEEE Transactions on Radiation and Plasma Medical Sciences
Published
2019-01
Volume
3
Issue
1
Pages
1-23
ISSN
  • 2469-7303 (ISSN-L)
  • 2469-7311
OpenAlex
W2903213872
Cited by
109
References
185
Citations by year
2026: 10 · 2025: 20 · 2024: 12 · 2023: 19 · 2022: 15 · 2021: 9 · 2020: 15 · 2019: 8 · 2017: 1
FWCI
3.20
Type
journal article
Language
en
Open access
Locations
  • IEEE Transactions on Radiation and Plasma Medical Sciences (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Site cant be reached (submittedVersion, other-oa)
  • PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
  • The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry) (submittedVersion)
Funders
  • National Institutes of Health (FD999999)
  • National Heart, Lung, and Blood Institute (R01HL131753)
  • National Institute of Biomedical Imaging and Bioengineering (R01EB001838)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Anatomy and Medical Technology
  • Physical Sciences › Physics and Astronomy › Radiation › Advanced Radiotherapy Techniques
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiation Dose and Imaging
Keywords
anatomical modeling, image segmentation, anatomical accuracy

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