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@ARTICLE{Schaarschmidt:300806,
author = {B. M. Schaarschmidt and J. Hegmanns and J. Wulff and V.
Haase and S. Faby and F. Baum and C. Bäumer$^*$ and S.
Zensen and J. Haubold and B. Hartung},
title = {{P}hoton-counting {CT} for bullet material differentiation:
applications in forensic radiology.},
journal = {European radiology experimental},
volume = {9},
number = {1},
issn = {2509-9280},
address = {[Cham]},
publisher = {Springer International Publishing},
reportid = {DKFZ-2025-00926},
pages = {49},
year = {2025},
abstract = {Gunshot deaths due to homicide or military encounters are a
major health concern. Noninvasive bullet characterization is
of major importance for patients with lodged bullets or in
mass disasters with multiple cadavers, which must be
prioritized for autopsy. Therefore, the aim of this study
was to investigate whether brass and lead bullets can be
differentiated using photon-counting CT (PCCT).Nine
different lead (n = 6) or brass (n = 3) bullets were
investigated on a state-of-the-art PCCT using a clinically
unavailable research mode. Here, four image sets were
reconstructed for different energy thresholds (20, 55, 72,
90 keV). Three circular regions of interest were placed on
the 20-keV threshold images by two readers and automatically
copied to the three other threshold images. Based on
measured HU mean and max values, dual-energy indices (DEI)
were calculated for the low/high energy threshold pairs of
20/90, 55/90, and 72/90 keV.Significant differences of DEIs
between lead and brass projectiles were observed for the
20/90 keV DEI for HU mean ± standard deviation values (Qr40
kernel, lead: -0.085 ± 0.021, brass: 0.024 ± 0.048) and HU
max values (Qr40 kernel, lead: -0.093 ± 0.011, brass: 0.023
± 0.057) (p < 0.001 for both). Differences decreased for
the 55/90 and 72/90 keV DEIs between the two projectile
materials but remained statistically significant.In this
PCCT phantom study, significant differences were observed
between lead and brass bullets in the different energy
threshold images.Photon-counting CT could be a promising
tool for bullet identification as significant differences
were found in the different energy threshold images for lead
and brass bullets, with application in clinical and forensic
radiology.In emergency settings, noninvasive bullet
characterization is of importance for law enforcement.
Bullet material characterization can be performed using
photon-counting CT. These characteristics can be quantified
in the four different energy threshold images.},
keywords = {Forensic Imaging: methods / Wounds, Gunshot: diagnostic
imaging / Wounds, Gunshot: mortality / Photons / Homicide /
Armed Conflicts / Humans / Tomography, X-Ray Computed:
methods / Lead / Copper / Zinc / Firearms / Mass Casualty
Incidents / Brass (Other) / Forensic ballistics (Other) /
Lead (Other) / Tomography (x-ray computed) (Other) / Wounds
(gunshot) (Other) / Lead (NLM Chemicals) / brass (NLM
Chemicals) / Copper (NLM Chemicals) / Zinc (NLM Chemicals)},
cin = {ED01},
ddc = {610},
cid = {I:(DE-He78)ED01-20160331},
pnm = {899 - ohne Topic (POF4-899)},
pid = {G:(DE-HGF)POF4-899},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:40319414},
pmc = {pmc:PMC12050241},
doi = {10.1186/s41747-025-00586-x},
url = {https://inrepo02.dkfz.de/record/300806},
}