Computational Intelligence for Medical Imaging Simulations

This paper describes how to simulate medical imaging by computational intelligence to explore areas that cannot be easily achieved by traditional ways, including genes and proteins simulations related to cancer development and immunity. This paper has presented simulations and virtual inspections of...

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Bibliographic Details
Published inJournal of medical systems Vol. 42; no. 1; pp. 10 - 12
Main Author Chang, Victor
Format Journal Article
LanguageEnglish
Published New York Springer US 01.01.2018
Springer Nature B.V
Subjects
Advanced Computational Intelligence and Soft Computing in Medical Imaging
Algorithms
Artificial Intelligence
Brain
Cancer
Carbon tetrachloride
Computational neuroscience
Computer Simulation
Diagnostic Imaging
Digital imaging
Health care
Health Informatics
Health Sciences
Humans
Image & Signal Processing
Immunity
Intelligence
Medical imaging
Medicine
Medicine & Public Health
Models, Biological
Models, Genetic
Models, Immunological
Neuroimaging
Performance evaluation
Proteins
Simulation
Statistics for Life Sciences
Gene, protein and immunity inspection via simulations
Simulations of medical imaging
MapReduce framework with a fusion algorithm
Computational intelligence
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Summary:This paper describes how to simulate medical imaging by computational intelligence to explore areas that cannot be easily achieved by traditional ways, including genes and proteins simulations related to cancer development and immunity. This paper has presented simulations and virtual inspections of BIRC3, BIRC6, CCL4, KLKB1 and CYP2A6 with their outputs and explanations, as well as brain segment intensity due to dancing. Our proposed MapReduce framework with the fusion algorithm can simulate medical imaging. The concept is very similar to the digital surface theories to simulate how biological units can get together to form bigger units, until the formation of the entire unit of biological subject. The M-Fusion and M-Update function by the fusion algorithm can achieve a good performance evaluation which can process and visualize up to 40 GB of data within 600 s. We conclude that computational intelligence can provide effective and efficient healthcare research offered by simulations and visualization.
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ISSN:0148-5598
1573-689X
1573-689X
DOI:10.1007/s10916-017-0861-x