Advances in Female Chest Modeling: Enhanced 3D Dosimetric Models Across Two Illustrative Scenarios

Image-based virtual human models are crucial for accurately assessing electromagnetic field (EMF) exposure. However, conventional 3D female models often inadequately represent the chest area, particularly the natural shape of the breast, due to limitations in imaging posture. This study presents a novel methodological approach to generate anatomically realistic female models, addressing a critical gap in EMF exposure simulation of female chest. We developed an improved breast model with natural upright geometry and integrated it into an existing whole-body virtual human. This enhanced model was tested in two representative exposure scenarios, radiofrequency plane wave and low-frequency magnetic stimulation, to evaluate the dosimetric impact of realistic upright breast anatomy. Our results reveal significant differences in localized field distributions compared to conventional models, underscoring the importance of anatomical accuracy in EMF simulations. These findings have broader implications for exposure assessment in regulatory, occupational, and clinical contexts, supporting the need for more anatomically faithful modeling in computational dosimetry.

Authors

Institutions

Publication Details

Journal
Bioelectromagnetics
Published
2025-11-24
DOI
https://doi.org/10.1002/bem.70034
Primary Topic
Electromagnetic Fields and Biological Effects
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advances in Female Chest Modeling: Enhanced 3D Dosimetric Models Across Two Illustrative Scenarios

Simona D’Agostino, Noemi Dolciotti, Micol Colella, Micaela Liberti et al.
Bioelectromagnetics
Electromagnetic Fields and Biological Effects
article

Advances in Female Chest Modeling: Enhanced 3D Dosimetric Models Across Two Illustrative Scenarios

Simona D’Agostino, Noemi Dolciotti, Micol Colella, Micaela Liberti, Francesca Apollonio
article en

Abstract

Image-based virtual human models are crucial for accurately assessing electromagnetic field (EMF) exposure. However, conventional 3D female models often inadequately represent the chest area, particularly the natural shape of the breast, due to limitations in imaging posture. This study presents a novel methodological approach to generate anatomically realistic female models, addressing a critical gap in EMF exposure simulation of female chest. We developed an improved breast model with natural upright geometry and integrated it into an existing whole-body virtual human. This enhanced model was tested in two representative exposure scenarios, radiofrequency plane wave and low-frequency magnetic stimulation, to evaluate the dosimetric impact of realistic upright breast anatomy. Our results reveal significant differences in localized field distributions compared to conventional models, underscoring the importance of anatomical accuracy in EMF simulations. These findings have broader implications for exposure assessment in regulatory, occupational, and clinical contexts, supporting the need for more anatomically faithful modeling in computational dosimetry.

BioelectromagneticsVol. 46(8)
Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro (IT), Sapienza University of Rome (IT)
Openalex Percentile: Top 75%
Electromagnetic Fields and Biological Effects
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Advances in Female Chest Modeling: Enhanced 3D Dosimetric Models Across Two Illustrative Scenarios — Simona D’Agostino, Noemi Dolciotti, et al. · Bioelectromagnetics (2025) | TGRS Research Map | TGRS