An update on computational anthropomorphic anatomical models. (July 2022)

• Record Type: Journal Article
• Authors: Akhavanallaf, Azadeh; Fayad, Hadi; Salimi, Yazdan; Aly, Antar; Kharita, Hassan; Al Naemi, Huda; Zaidi, Habib
• Is Part Of: Digital health. Volume 8(2022)
• Publication Date: 2022-07
• Subjects: Human anatomy -- computational models -- anthropomorphic models -- Monte Carlo simulation -- medical imaging; Medical care -- Data processing -- Periodicals; Medical informatics -- Periodicals; 362.10285
• DOI: 10.1177/20552076221111941
• Languages: English
• ISSNs: 2055-2076

Abstract

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.