Data Mining of MR Technical Parameters: A Case Study for SAR in a Large-Scale MR Repository

Adriana Murraças, Paula Maria Vaz Martins, Carlos Daniel Cipriani Ferreira, Tiago Marques Godinho and Augusto Marques Ferreira da Silva
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Adriana Murraças: University of Aveiro, Portugal
Paula Maria Vaz Martins: School of Health Sciences, University of Aveiro, Portugal
Carlos Daniel Cipriani Ferreira: Perspectum Diagnostics, Ltd, Oxford, UK & Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Portugal
Tiago Marques Godinho: University of Aveiro, Portugal
Augusto Marques Ferreira da Silva: University of Aveiro, Portugal

International Journal of E-Health and Medical Communications (IJEHMC), 2021, vol. 12, issue 1, 16-33

Abstract: Exposure to radiofrequency (RF) energy during a magnetic resonance imaging exam is a safety concern related to biological thermal effects. Estimation of the specific absorption rate (SAR) is done by manufacturer scanner integrated tools to monitor RF energy. This work presents an exploratory approach of DICOM metadata focused in whole-body SAR values, patient dependent parameters, and pulse sequences. Previously acquired abdominopelvic and head studies were retrieved from a 3 Tesla scanner. Dicoogle tool was used for metadata indexing, mining, and extraction. Specifically weighted pulse sequences were related with weight, BMI, and gender through boxplot diagrams and effect size analysis. A decrease of SAR values with increasing body weight and BMI categories is observable for abdominopelvic studies. Head studies showed different trends regarding distinct pulse sequences; in addition, underage patients register higher SAR values compared to adults. Male individuals register marginally higher SAR values. Metadata recording practices and standardization need to be improved.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jehmc0:v:12:y:2021:i:1:p:16-33

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