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Biomedical subjects

D Ulmcke

Publications and source records attributed to D Ulmcke.

3 recordsLinked to original sources

Identification of unknown dead bodies by X-ray image comparison of the skull using the X-ray simulation program FoXSIS.

The aim of the study was to improve the objectivity of X-ray image comparison for the identification of unknown dead individuals. CT-data were collected for 30 macerated skulls. An already presented computer program which uses CT data to establish virtual X-ray images was used to obtain X-rays with different beam angulations simulating rotation, dorsal flexion, and ventral flexion. Specific parameters were measured on the simulated images. The frontal sinus reveals the highest variability not only between the individual skulls but also within an individual skull in different positions. The most consistent parameters with respect to different positions were the skull breadth, the biorbital breadth and the bizygomatic breadth. In a blind study, three out of 24 skulls could clearly be identified just by measured distances although the positions were different and unknown to the investigator. The dimensions of the frontal sinus do not correlate with the other skull parameters (analysis of covariance). Based on the presented results, we propose a method that will calculate the probability of identity. The presented results demonstrate that the comparison of X-ray images can be undertaken in an objective way by quantifying the probability of identity even when the comparative images were made under different conditions.

Adult↗

Computer-assisted simulation of conventional roentgenograms from three-dimensional computed tomography (CT) data--an aid in the identification of unknown corpses (FoXSIS).

A computer simulation program (Forensic X-ray Simulation and Identification System, FoXSIS) is presented. FoXSIS calculates conventional X-ray summation images using any scanning parameters from three-dimensional CT data records. All those parameters decisive for X-ray morphology are freely selectable for realistic simulations: focus-object distance, object-film distance, centering of the X-ray beam, the location of the object in the patch of rays, brightness and contrast, as well as parallel and central projection. In addition, distance and angle measurements, as well as enlargements of details are possible. The program may be expected to help in the identification of unknown corpses now, and even more in the future on account of the increased use of clinical computed tomographies.

Forensic Medicine↗

Identification of an unknown corpse by means of computed tomography (CT) of the lumbar spine.

For the first time, a case is described in which an unknown corpse is identified by the comparison of antemortem and postmortem computed tomographic (CT) images. A posterolateral disc herniation at L5-S1 on the right side, Schmorl's nodes and a lucency in the ilium were found in identical locations in each case. Additionally there were characteristic morphological similarities in the vertebral bodies, spinous processes, transverse processes and neural arches. In CT identification, as in conventional radiographic identification, one must try to reproduce comparable scanning conditions and images because apparent differences in the roentgenological morphology can occur as a result of different gantry angles or slice thicknesses.

Expert Testimony↗