AUTOMATIC BRAIN DOSE ESTIMATION IN COMPUTED TOMOGRAPHY USING PATIENT DICOM IMAGES.


Journal

Radiation protection dosimetry
ISSN: 1742-3406
Titre abrégé: Radiat Prot Dosimetry
Pays: England
ID NLM: 8109958

Informations de publication

Date de publication:
02 Jul 2020
Historique:
received: 23 09 2019
revised: 03 12 2019
accepted: 13 01 2020
pubmed: 12 2 2020
medline: 24 6 2021
entrez: 12 2 2020
Statut: ppublish

Résumé

This study aims to develop an Automatic Brain Dose Estimation (ABDE) methodology for head computed tomography examinations. The ABDE is to be applied first to an anthropomorphic Alderson phantom to obtain a Correction factor (Cf) between the ABDE and the direct absorbed brain dose using dosemeters positioned within the anthropomorphic phantom. Then, in order to estimate the correct brain dose for patient, the Cf was multiplied by the mean ABDE values for each patient. Results were compared to those registered with a mathematical simulation phantom using CT-Expo V 2.4 software. Results showed no significant difference between the correct ABDE values and the CT-Expo values with a mean percent difference of 2.54 ± 0.01%. In conclusion, ABDE yields a correct estimation of brain dose, taking into account the size and attenuation of the irradiated region. Thus, it is clinically recommended for accurate patient brain dose assessment.

Identifiants

pubmed: 32043150
pii: 5733076
doi: 10.1093/rpd/ncaa006
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

536-542

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Auteurs

Souha Gharbi (S)

Université Tunis EL Manar, Institut Supérieur des Technologies Médicales de Tunis, Laboratoire de recherche de Biophysique et de Technologies Médicales, 9, Avenue du Docteur Z. Essafi, Tunis 1006, Tunisia.

Salam Labidi (S)

Université Tunis EL Manar, Institut Supérieur des Technologies Médicales de Tunis, Laboratoire de recherche de Biophysique et de Technologies Médicales, 9, Avenue du Docteur Z. Essafi, Tunis 1006, Tunisia.

Mokhtar Mars (M)

Université Tunis EL Manar, Institut Supérieur des Technologies Médicales de Tunis, Laboratoire de recherche de Biophysique et de Technologies Médicales, 9, Avenue du Docteur Z. Essafi, Tunis 1006, Tunisia.

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Classifications MeSH