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.*
Advances in computational human phantoms and their applications in biomedical engineering - A topical review.
IEEE TRPMS 3, 1-23 (2019)
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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Publication type
Article: Journal article
Document type
Review
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Keywords
Human Anatomy ; Computational Modeling ; Phantoms
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Language
english
Publication Year
2019
Prepublished in Year
2018
HGF-reported in Year
2018
ISSN (print) / ISBN
2469-7311
e-ISSN
2469-7311
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Volume: 3,
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Pages: 1-23
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Institute of Electrical and Electronics Engineers (IEEE)
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New York, NY
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Peer reviewed
POF-Topic(s)
30203 - Molecular Targets and Therapies
Research field(s)
Radiation Sciences
PSP Element(s)
G-501391-001
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Erfassungsdatum
2019-02-04