HeadCTDosi: A python-based automated calculation of head water equivalent diameter and size specific dose estimate based on AAPM 220 report
1
Laboratory of Health Sciences and Technologies, Higher Institute of Health Sciences, Hassan 1st University, Settat, Morocco
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Publication type: Journal Article
Publication date: 2025-02-01
scimago Q2
wos Q1
SJR: 0.543
CiteScore: 5.6
Impact factor: 3.3
ISSN: 0969806X, 18790895
Abstract
The aim of the current study is to propose an algorithm for the automated calculation of water-equivalent diameter (Dw) and size-specific dose estimate (SSDE) from clinical computed tomography (CT) images in head protocol context, a python-based algorithm was developed in order to execute an interface to read DICOM images and compute the mentioned metrics. All CT datasets were retrospectively acquired by the Siemens emotion 16 C T scanner. The algorithm developed in this study presents a novel approach for preprocessing and analyzing DICOM images obtained from head CT scans. Exploiting a custom Python script, the preprocessing pipeline begins with the conversion of pixel values to Hounsfield Units (HU) to ensure quantitative analysis accuracy. Subsequently, Gaussian filtering reduced noise while preserving essential features, followed by thresholding using Otsu's method for head region segmentation. Morphological operations refined the binary mask, which enhanced the method for contour detection via active contours. The outcome of this procedure is an accurate measurement of the head size metrics, including lateral (LAT) and anteroposterior (AP) dimensions, effective diameter (Deff), and water equivalent diameter (Dw). Statistical analyses are performed to derive mean statistics and compute SSDE using a conversion factor derived from Dw. Validation of the proposed algorithm used images of patients who had undergone head examination in a major pediatric university hospital. The proposed algorithm was compared to IndoseCT v20 b for Dw and SSDE calculations. The Dw values from HeadCTDosi were strongly correlated to those of IndoseCT by R2 = 0.97 and the SSDE values also presented high correlation of R2 = 0.93. This study presents an improved algorithm for calculating Dw and SSDE in the context of head CT, which notably can outperform the manual, subjective, and time-consuming process of contouring the head region, positioning it as a potentially essential tool for routine clinical dose monitoring.
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Sekkat H. et al. HeadCTDosi: A python-based automated calculation of head water equivalent diameter and size specific dose estimate based on AAPM 220 report // Radiation Physics and Chemistry. 2025. Vol. 227. p. 112388.
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Sekkat H., El Rhazouani O., Halimi A., Madkouri Y. HeadCTDosi: A python-based automated calculation of head water equivalent diameter and size specific dose estimate based on AAPM 220 report // Radiation Physics and Chemistry. 2025. Vol. 227. p. 112388.
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TY - JOUR
DO - 10.1016/j.radphyschem.2024.112388
UR - https://linkinghub.elsevier.com/retrieve/pii/S0969806X24008806
TI - HeadCTDosi: A python-based automated calculation of head water equivalent diameter and size specific dose estimate based on AAPM 220 report
T2 - Radiation Physics and Chemistry
AU - Sekkat, Hamza
AU - El Rhazouani, O
AU - Halimi, A.
AU - Madkouri, Y.
PY - 2025
DA - 2025/02/01
PB - Elsevier
SP - 112388
VL - 227
SN - 0969-806X
SN - 1879-0895
ER -
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@article{2025_Sekkat,
author = {Hamza Sekkat and O El Rhazouani and A. Halimi and Y. Madkouri},
title = {HeadCTDosi: A python-based automated calculation of head water equivalent diameter and size specific dose estimate based on AAPM 220 report},
journal = {Radiation Physics and Chemistry},
year = {2025},
volume = {227},
publisher = {Elsevier},
month = {feb},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0969806X24008806},
pages = {112388},
doi = {10.1016/j.radphyschem.2024.112388}
}