Sturdivan's formula revisited: MRI assessment of anterior chest wall thickness for injury risk prediction of blunt ballistic impact trauma

Frank, Matthias; Schorge, Volker; Hegenscheid, Katrin; Angermaier, Anselm; Hosten, Norbert; Puls, Ralf; Langner, Soenke

doi:10.1016/j.forsciint.2011.05.022

Cited by 7 publications

(1 citation statement)

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“…Penetration depth δ varies from 20.7 to 1.8 mm for skin and 71.1 to 5.7 mm for fat, while wavelength λ from 50.1 to 5.7 mm for skin and 134.2 to 15.3 mm for fat. Since the average chest wall thickness (CWT) does not exceed 35 mm [6] and the required sensor's resolution is 5-20 mm [7], the frequency range of 1-4 GHz is considered sufficient for the antenna sensor, as described in detail in [8].…”

Section: Background For Air Detection Methodologymentioning

confidence: 99%

Inter-Subject Variability Evaluation Towards a Robust Microwave Sensor for Pneumothorax Diagnosis

Christopoulou

Koulouridis²

2015

PIER M

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Pneumothorax is the medical condition caused by the air concentration inside the pleural cavity, the space between the lung and the chest wall. Apart from traditional diagnostic methods, it can be detected by using microwave sensors that capture variations in reflected electromagnetic field (EMF). Sex and obesity, related to the internal composition of the biological tissues, can influence the reflected EMF and therefore the sensor diagnostic ability. This paper investigates the effect on the performance of a proposed on-body dual-patch antenna sensor for pneumothorax diagnosis, due to inter-subject variability in underlying tissue structure. The sensor operates at frequency range of 1-4 GHz. The challenge of the paper is to propose frequency bands for robust and safe sensor operation. S 12 parameter alternation versus frequency is assessed for healthy and pathological cases. Implemented thorax numerical models include modified (i) closed rectangular multilayered and (ii) MRI-based anatomical ones. In rectangular models, thickness and configuration of muscle, fat and bone tissues are varied, according to literature. Additionally, sex-related anatomical differences are taken into account in MRI-based models. All scenarios are solved using Finite Difference Time Domain method. Results revealed that the proposed frequency bands lie within 1-2.7 and 2.9-3.5 GHz, for muscle, 1.4-3.5 GHz for fat and 1-2.2 and 2.8-3.5 GHz, for bone variations. Numerical evaluations for accurate anatomical models verify the findings.

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Section: Background For Air Detection Methodologymentioning

confidence: 99%