Background/introduction
The increasing demand of imaging techniques in medical diagnosis and treatment follow-up,
and their increasing use to extract imaging biomarkers as measurement instruments has generated the need foran integrated mechanism of quality assurance in theclinical routine.
Therefore,
it is important to create an objective and quantitative methodology for quality control independent of the user,
in order to evaluate the correct performance of theequipment and,
also,
evaluate the potential changes of image quality through time.
Our goal was to develop a multimodal software tool for automated,...
Description of activity and work performed
The project wasdeveloped using Matlab2015 as a programming tool.
The algorithms implemented werepartof a whole application that has to obtain the images to analyze from PACS.
After the retrieve of the images,
thesoftware calculated quality parameters andstored themin a database in order to include them in a dashboard as it can be appreciated in the followingdiagram (Figure 1).
The whole platform was organized in a modular structure that allows the integration of plugins of in development (Matlab,
Python or C++).
In order to integrate them,...
Conclusion and recommendations
The developed algorithms fulfil with reliability and reproducibility conditions established by the Protocol.
If we analyze each technic we can conclude that,
in CT,
all parameters have reliable and reproducible results because they meet the tolerances.
In the case of the texture,
despite not having reference values,
there are coherent values.
In MR,
we can conclude that the slice thickness and the uniformity meet protocol tolerances,
SNR values are reliable due to the coincidence with the expert values.
In order to obtain a resonance frequency...
Personal/organisational information
Instituto de Investigación Sanitaria La Fe de Valencia
References
[1] Ruiz Martínez,
E.
(2017).
Herramienta de gestión integral en innovación en imagen médica [Tesis doctoral no publicada].
Universitat Politècnica de València.
doi:10.4995/Thesis/10251/90429
[2] Sociedad Española de Protección Radiológica,
“Las Recomendaciones 2007 de la Comisión Internacional de Protección Radiológica.”
[3] P.
García,
“Principios Básicos.
Manual de tomografía axial computarizada multicorte,” 2008.
[4] “General study module attributes,” DICOMLookup,
2016.
[5] R.
S.
Juan,
C.,
Martí,
L.,
Requena and J.
S.
Rodríguez,
“Método automatizado para la cuantificación y el control de calidad en Tomografía Computarizada.”
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