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ImageJ tool for percentage estimation of pneumonia in lungs

Authors: Schätz, Martin; Rubešová, Olga; Mareš, Jan; Spark, Alan;

ImageJ tool for percentage estimation of pneumonia in lungs

Abstract

The software tool is developed on demand of Radiological Department of Faculty Hospital of Královské Vinohrady, with the aim to provide a tool to estimate the percentage of pneumonia (or COVID-19 presence) in lungs. Paper Estimation of Covid-19 lungs damage based on computer tomography images analysis presenting the tool is available on F1000reserach DOI: 10.12688/f1000research.109020.1. The underlying dataset is published in Zenodo (DOI:10.5281/zenodo.5805939). One of the challenges was to design a tool that would be available without complicated install procedures and would process data in a reasonable time even on office computers. For this reason, 8-bit and 16-bit version of the tool exists. The FIJI software (or ImageJ with Bio-Formats plugin installed) was selected as the best candidate. Examples of use and tutorials are available at GitHub. Underlying data:DOI:10.5281/zenodo.5805939The first five datasets are analyzed using this tool, with results and parameters to repeat the analysis in results_csv.csv or results.xlsx. Contributions:Martin SCHÄTZ: Coding, tool testing, data curation, data set analysisOlga RUBEŠOVÁ: Code review, tutorial preparation, tool testing, data set analysisJan MAREŠ: Tool testing, data set analysis, funding acquisitionAlan SPARK: Tool testing The work was funded by the Ministry of Education, Youth and Sports by grant ‘Development of Advanced Computational Algorithms for evaluating post-surgery rehabilitation’ number LTAIN19007. The work was also supported from the grant of Specific university research – grant No FCHI 2022-001.

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Keywords

COVID-19, FIJI, Image Analysis, Pneumonia, ImageJ, CT

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popularity
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