Optimization of Tracer Dose for Scintigraphic Imagery

C. Bousnah, S. Anebajagane, O. Monsarrat, J.-Ph. Conge, H. Maaref, V. Vigneron

2022

Abstract

Myocardial scintigraphy is a non-invasive isotope examination that has played a central role in the management of these coronary heart diseases for decades.it has proven its performance in nuclear cardiology, mainly for the diagnosis of ischemia by making it possible to analyze the myocardial perfusion, and precisely, to evaluate the quality of the irrigation by the arteries and the coronaries, as well as for the diagnosis of coronary heart disease. It is based on the injection of an intravenous radioactive tracer, which, once injected, is absorbed by the heart muscle. The radiation emitted by the radioactive tracer is converted into an image by computer tomography. However, these scintigraphic images suffer from poor spatial resolution in particular, in obese patients, it is difficult to obtain images of sufficient quality using the recommended standard doses due to the attenuation of γ−rays by soft tissues (fat, fibrous tissues, etc.). This phenomenon prompts the nuclear physician to overdose the tracer and the dose of radiation received exceeds the admissible regulatory limits. In this paper we propose a machine learning model that predict the dose of tracer based on patient’s morphological parameters to obtain images of sufficient quality to support the cardiovascular diagnosis while exposing him to the lowest possible doses of radiation. We show the body weight is not the best-predicting parameter for image quality.

Paper Citation

in Harvard Style

Bousnah C., Anebajagane S., Monsarrat O., Conge J., Maaref H. and Vigneron V. (2022). Optimization of Tracer Dose for Scintigraphic Imagery. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS; ISBN 978-989-758-552-4, SciTePress, pages 167-175. DOI: 10.5220/0010822200003123

in Bibtex Style

@conference{biosignals22,
author={C. Bousnah and S. Anebajagane and O. Monsarrat and J.-Ph. Conge and H. Maaref and V. Vigneron},
title={Optimization of Tracer Dose for Scintigraphic Imagery},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS},
year={2022},
pages={167-175},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010822200003123},
isbn={978-989-758-552-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS
TI - Optimization of Tracer Dose for Scintigraphic Imagery
SN - 978-989-758-552-4
AU - Bousnah C.
AU - Anebajagane S.
AU - Monsarrat O.
AU - Conge J.
AU - Maaref H.
AU - Vigneron V.
PY - 2022
SP - 167
EP - 175
DO - 10.5220/0010822200003123
PB - SciTePress