Monte Carlo methods for medical imaging research

In radiation-based medical imaging research, computational modeling methods are used to design and validate imaging systems and post-processing algorithms. Monte Carlo methods are widely used for the computational modeling as they can model the systems accurately and intuitively by sampling interact...

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Bibliographic Details
Published inBiomedical engineering letters Vol. 14; no. 6; pp. 1195 - 1205
Main Author Lee, Hoyeon
Format Journal Article
LanguageEnglish
Published Korea The Korean Society of Medical and Biological Engineering 01.11.2024
Springer Nature B.V
Subjects
Algorithms
Biological and Medical Physics
Biomedical Engineering and Bioengineering
Biomedicine
Biophysics
Computer applications
Engineering
Medical and Radiation Physics
Medical imaging
Medical research
Monte Carlo simulation
Review
Review Article
Monte Carlo
Computational modeling
Medical imaging
Online AccessGet full text
ISSN2093-9868
2093-985X
2093-985X
DOI10.1007/s13534-024-00423-x

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Summary:In radiation-based medical imaging research, computational modeling methods are used to design and validate imaging systems and post-processing algorithms. Monte Carlo methods are widely used for the computational modeling as they can model the systems accurately and intuitively by sampling interactions between particles and imaging subject with known probability distributions. This article reviews the physics behind Monte Carlo methods, their applications in medical imaging, and available MC codes for medical imaging research. Additionally, potential research areas related to Monte Carlo for medical imaging are discussed.
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ISSN:2093-9868
2093-985X
2093-985X
DOI:10.1007/s13534-024-00423-x