Integrated computer-aided forensic case analysis, presentation, and documentation based on multimodal 3D data. (June 2018)
- Record Type:
- Journal Article
- Title:
- Integrated computer-aided forensic case analysis, presentation, and documentation based on multimodal 3D data. (June 2018)
- Main Title:
- Integrated computer-aided forensic case analysis, presentation, and documentation based on multimodal 3D data
- Authors:
- Bornik, Alexander
Urschler, Martin
Schmalstieg, Dieter
Bischof, Horst
Krauskopf, Astrid
Schwark, Thorsten
Scheurer, Eva
Yen, Kathrin - Abstract:
- Graphical abstract: Highlights: An integrated software tool for forensic case analysis based on heterogeneous (3D) data is proposed. Findings in CT/MRI data, 3D surface scans, and images can be shown at the same time. Flexible visual processing tools support efficient visual separation of findings from the rest of the datasets. Conjoint 3D visualization allows to study spatial relationships between findings. Annotated 3D illustrations aid comprehensible case presentation in court. Abstract: Three-dimensional (3D) crime scene documentation using 3D scanners and medical imaging modalities like computed tomography (CT) and magnetic resonance imaging (MRI) are increasingly applied in forensic casework. Together with digital photography, these modalities enable comprehensive and non-invasive recording of forensically relevant information regarding injuries/pathologies inside the body and on its surface. Furthermore, it is possible to capture traces and items at crime scenes. Such digitally secured evidence has the potential to similarly increase case understanding by forensic experts and non-experts in court. Unlike photographs and 3D surface models, images from CT and MRI are not self-explanatory. Their interpretation and understanding requires radiological knowledge. Findings in tomography data must not only be revealed, but should also be jointly studied with all the 2D and 3D data available in order to clarify spatial interrelations and to optimally exploit the data at hand.Graphical abstract: Highlights: An integrated software tool for forensic case analysis based on heterogeneous (3D) data is proposed. Findings in CT/MRI data, 3D surface scans, and images can be shown at the same time. Flexible visual processing tools support efficient visual separation of findings from the rest of the datasets. Conjoint 3D visualization allows to study spatial relationships between findings. Annotated 3D illustrations aid comprehensible case presentation in court. Abstract: Three-dimensional (3D) crime scene documentation using 3D scanners and medical imaging modalities like computed tomography (CT) and magnetic resonance imaging (MRI) are increasingly applied in forensic casework. Together with digital photography, these modalities enable comprehensive and non-invasive recording of forensically relevant information regarding injuries/pathologies inside the body and on its surface. Furthermore, it is possible to capture traces and items at crime scenes. Such digitally secured evidence has the potential to similarly increase case understanding by forensic experts and non-experts in court. Unlike photographs and 3D surface models, images from CT and MRI are not self-explanatory. Their interpretation and understanding requires radiological knowledge. Findings in tomography data must not only be revealed, but should also be jointly studied with all the 2D and 3D data available in order to clarify spatial interrelations and to optimally exploit the data at hand. This is technically challenging due to the heterogeneous data representations including volumetric data, polygonal 3D models, and images. This paper presents a novel computer-aided forensic toolbox providing tools to support the analysis, documentation, annotation, and illustration of forensic cases using heterogeneous digital data. Conjoint visualization of data from different modalities in their native form and efficient tools to visually extract and emphasize findings help experts to reveal unrecognized correlations and thereby enhance their case understanding. Moreover, the 3D case illustrations created for case analysis represent an efficient means to convey the insights gained from case analysis to forensic non-experts involved in court proceedings like jurists and laymen. The capability of the presented approach in the context of case analysis, its potential to speed up legal procedures and to ultimately enhance legal certainty is demonstrated by introducing a number of representative forensic cases. … (more)
- Is Part Of:
- Forensic science international. Volume 287(2018)
- Journal:
- Forensic science international
- Issue:
- Volume 287(2018)
- Issue Display:
- Volume 287, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 287
- Issue:
- 2018
- Issue Sort Value:
- 2018-0287-2018-0000
- Page Start:
- 12
- Page End:
- 24
- Publication Date:
- 2018-06
- Subjects:
- Forensic case analysis -- Software tool -- Forensigraphy -- Forensic imaging -- 3D visualization -- Case illustration
Medical jurisprudence -- Periodicals
Chemistry, Forensic -- Periodicals
Forensic Medicine -- Periodicals
Médecine légale -- Périodiques
Chimie légale -- Périodiques
Gerechtelijke geneeskunde
Gerechtelijke chemie
Gerechtelijke psychiatrie
Chemistry, Forensic
Medical jurisprudence
Electronic journals
Periodicals
Electronic journals
614.1 - Journal URLs:
- http://www.clinicalkey.com.au/dura/browse/journalIssue/03790738 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/03790738 ↗
http://www.sciencedirect.com/science/journal/03790738 ↗
http://infotrac.galegroup.com/itw/infomark/1/1/1/purl=rc18_EAIM_0__jn+%22Forensic+Science+International%22?sw_aep=stand ↗
http://www.elsevier.com/homepage/elecserv.htt ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.forsciint.2018.03.031 ↗
- Languages:
- English
- ISSNs:
- 0379-0738
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3987.764000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11477.xml