2020
DOI: 10.1016/j.jflm.2020.101919
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Visualization and material-based differentiation of lodged projectiles by extended CT scale and the dual-energy index

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Cited by 10 publications
(11 citation statements)
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“…Since the reconstruction parameters for clinical CT data are set to aid the diagnostic assessment of injuries for medical treatment, the visual assessment of a radiopaque bullet is very limited on standard CT images. 7 Furthermore, metallic objects cause metal artefacts on CT. Although metal artefact reduction algorithms are routinely applied to improve the image quality and reduce the bright and dark streaks caused by metallic objects, these reconstruction algorithms do not improve the visualisation of a lodged bullet.…”
Section: Extended Ct Scalementioning
confidence: 99%
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“…Since the reconstruction parameters for clinical CT data are set to aid the diagnostic assessment of injuries for medical treatment, the visual assessment of a radiopaque bullet is very limited on standard CT images. 7 Furthermore, metallic objects cause metal artefacts on CT. Although metal artefact reduction algorithms are routinely applied to improve the image quality and reduce the bright and dark streaks caused by metallic objects, these reconstruction algorithms do not improve the visualisation of a lodged bullet.…”
Section: Extended Ct Scalementioning
confidence: 99%
“…12 Deformed bullets, in turn, may be classifiable according to their deformation pattern; for instance, expanding bullets, such as soft-point and hollow-point bullets, can be inferred if the bullet presents a mushroom shape, while full metal jacket bullets usually remain intact or fragment after striking or perforating bone. 7 The degree of mushrooming can provide further information on the bullet. Bullets from special police ammunition, such as Action 4 bullets (Figure 1), are designed to present only very slight mushrooming because of their specific designs or rather their hollowed cores, which can be delineated on CT as well.…”
Section: Extended Ct Scalementioning
confidence: 99%
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