An update on computational anthropomorphic anatomical models.
- Resource Type
- Academic Journal
- Authors
- Akhavanallaf A; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland.; Fayad H; Hamad Medical Corporation, Doha, Qatar.; Weill Cornell Medicine, Doha, Qatar.; Salimi Y; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland.; Aly A; Hamad Medical Corporation, Doha, Qatar.; Weill Cornell Medicine, Doha, Qatar.; Kharita H; Hamad Medical Corporation, Doha, Qatar.; Al Naemi H; Hamad Medical Corporation, Doha, Qatar.; Weill Cornell Medicine, Doha, Qatar.; Zaidi H; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland.; Geneva University Neurocenter, Geneva University, Geneva, Switzerland.; Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.; Department of Nuclear Medicine, University of Southern Denmark, Odense, Denmark.
- Source
- Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE
- Subject
- Language
- English
- ISSN
- 2055-2076
The prevalent availability of high-performance computing coupled with validated computerized simulation platforms as open-source packages have motivated progress in the development of realistic anthropomorphic computational models of the human anatomy. The main application of these advanced tools focused on imaging physics and computational internal/external radiation dosimetry research. This paper provides an updated review of state-of-the-art developments and recent advances in the design of sophisticated computational models of the human anatomy with a particular focus on their use in radiation dosimetry calculations. The consolidation of flexible and realistic computational models with biological data and accurate radiation transport modeling tools enables the capability to produce dosimetric data reflecting actual setup in clinical setting. These simulation methodologies and results are helpful resources for the medical physics and medical imaging communities and are expected to impact the fields of medical imaging and dosimetry calculations profoundly.
Competing Interests: Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
(© The Author(s) 2022.)