In:
Rechtsmedizin, Springer Science and Business Media LLC, Vol. 30, No. 2 ( 2020-04), p. 71-78
Abstract:
During the last 20 years forensic imaging became increasingly more important due to the wider distribution and advancements of radiological techniques, such as computed tomography and magnetic resonance imaging. The databank on a knowledge-based case collection (WiFas) was developed to make the results and knowledge gained from these new techniques and the radiological data obtained available for all members of the German Society of Legal Medicine. Material and methods The databank was developed as a web application. It is possible to upload and manage external documents, pictures and datasets from individual case reports. An internal user profile concept prevents access to the system by unauthorized persons. Results A databank was developed that enables users to have an individual access to numerous forensic cases. In the WiFas it is possible to obtain an overview of the cases as well as to search for single cases. Furthermore, findings from different cases and images can be compared. Conclusion Clinical forensic imaging and post-mortem imaging cannot be equated with clinical radiology. Investigative authorities often ask additional reconstructive questions and answering these questions needs not only forensic but also radiological specialized knowledge. Furthermore, specific or new presentations of the imaging datasets (e.g. three-dimensional representation of findings) are often necessary. For the subspecialty of forensic imaging, appropriate interdisciplinary radiological as well as forensic knowledge is necessary. This knowledge-based databank for forensic imaging is the first platform that enables the combination of very different information from the fields of radiology and forensic medicine.
Type of Medium:
Online Resource
ISSN:
0937-9819
,
1434-5196
DOI:
10.1007/s00194-020-00371-7
Language:
German
Publisher:
Springer Science and Business Media LLC
Publication Date:
2020
detail.hit.zdb_id:
1463037-0
SSG:
2
SSG:
2,1
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