The application of CT for 3D visualization of concealed bodies

被引:0
|
作者
Haest, Ingrid I. H. [1 ]
Hofman, Paul A. M. [2 ]
Herbergs, Jos P. J. [3 ,4 ]
Nelen, Hans [4 ]
Jelicic, Marko [4 ,5 ]
机构
[1] Natl Police Netherlands, Dept Forens, POB 1230, NL-6201 BE Maastricht, Netherlands
[2] Maastricht Univ Med Ctr, Dept Med Imaging, Med Ctr, POB 5800, NL-6202 AX Maastricht, Netherlands
[3] Maastricht Forens Inst, POB 616, NL-6200 MD Maastricht, Netherlands
[4] Maastricht Univ, Fac Law, Dept Criminal Law & Criminol, POB 616, NL-6200 MD Maastricht, Netherlands
[5] Maastricht Univ, Fac Psychol & Neurosci, Dept Clin Psychol Sci, Forens Psychol Sect, POB 616, NL-6200 MD Maastricht, Netherlands
关键词
Post mortem Computed Tomography; Concealed bodies; Crime scene investigation; Forensic investigator; 3D visualization; COMPUTED-TOMOGRAPHY; LIVE BIRTH; DIFFERENTIATION; TECHNOLOGIES;
D O I
10.1016/j.scijus.2022.05.002
中图分类号
DF [法律]; D9 [法律]; R [医药、卫生];
学科分类号
0301 ; 10 ;
摘要
In forensic radiology, computed tomography (CT) is often used as a medical imaging technique to identify the cause and manner of death of deceased victims of a possible crime. In this study, medical imaging is used to examine concealed bodies and packaging materials. Medical imaging techniques, mainly CT scan, were used to scan packaged or concealed bodies inside containers to identify clues and evidence indicating whether a crime might have been committed. Also, scene integrity and scene safety along with a systematic search for relevant evidentiary items value were considered. Eighteen concealed bodies that had been assessed using medical imaging techniques between 2010 and 2018 at the request of the Dutch National Police were selected. The file records of each case contained imaging data, a photographic record of the unpacking procedure, a list of all items and traces found in the package, and the forensic pathology report. The images were assessed with respect to the different aspects of the case and through a systematic approach. The packages included adult males, adult females, newborn infants, and animals. All human cases were related to criminal offences. In nine adult cases, evidence of a possible violent death could be determined using CT imaging. The cause of death in newborn infants, however, could not be determined. In cases of dismemberment, the completeness of the body could be determined by CT imaging, and the cutting surfaces of bones could be matched on CT images. Regarding scene safety and integrity, in this study all relevant macroscopic items were detected on the CT images. The CT-scans were supplemented with fiduciary markers to better map CT data with the real objects. This information in combination with 2D and 3D images provided the forensic investigator with information on how to unwrap the package layer by layer and help determine different types of packaging materials. Different textiles could not always be identified. The orientation of the body within the packages was provided in all cases, and advice could be given on the optimal approach to access the contents. The overall detection rate of items was 78%. This is one of the first studies to illustrate the contribution of medical imaging, specifically CT scan, to the analysis of concealed bodies and packaging materials prior to unpacking. This demonstrates its contribution to a systematic approach of the investigation by ensuring the safety and health of the investigator while documenting and maintaining the integrity of the crime scene. Imaging also provides information that can be helpful to determine whether a crime might have been committed and reducing the risk of damaging a concealed body. Medical imaging also provides the forensic investigator with information to draw up a workplan prior to unpacking, minimising loss of evidence and determining whether different forensic specialists (e.g., digital or DNA) are needed. It is therefore strongly recommended to use medical imaging, especially CT scanning, before opening a package containing a concealed body.
引用
收藏
页码:424 / 432
页数:9
相关论文
共 50 条
  • [31] 3D Visualization of the separated fluid flows
    V. A. Gushchin
    A. V. Kostomarov
    P. V. Matyushin
    Journal of Visualization, 2004, 7 : 143 - 150
  • [32] 3D Visualization of Earthquake Big Data
    Chen, Lieu-Hen
    Hung, Hao-Ming
    Chen, Chun-Yu
    Wu, Hsiao-Kuang
    Takama, Yasufumi
    Yamaguchi, Toru
    2017 CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI), 2017, : 72 - 75
  • [33] 3D Scientific Visualization using Mayavi
    Trajkovska, Aneta
    Bocevska, Andrijana
    Ristevski, Blagoj
    2024 59TH INTERNATIONAL SCIENTIFIC CONFERENCE ON INFORMATION, COMMUNICATION AND ENERGY SYSTEMS AND TECHNOLOGIES, ICEST 2024, 2024,
  • [34] DYNAMIC VISUALIZATION IN 3D OF CHEMICAL STRUCTURES
    Rius-Alonso, Carlos A.
    Gonzalez-Quezada, Yolanda
    INTED2014: 8TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE, 2014, : 113 - 122
  • [35] 3D Reconstruction and Visualization of Spiral Galaxies
    Hildebrand, Kristian
    Magnor, Marcus
    Froehlich, Bernd
    JOURNAL OF WSCG, 2006, 2006, 14 (1-3): : 113 - +
  • [36] 3D MODELLING AND VISUALIZATION FOR LANDSCAPE SIMULATION
    Dinkov, Davis
    Vatseva, Rumiana
    6TH INTERNATIONAL CONFERENCE ON CARTOGRAPHY AND GIS, VOLS 1 AND 2, 2016, : 320 - 333
  • [37] Application of multivariate statistics and 3D visualization analysis in tacit knowledge diffusion map
    Yang, Hongru
    Li, Jiajun
    DISPLAYS, 2021, 69
  • [38] 3D VISUALIZATION OF HAPLOTYPE RISK MAPS
    Torres-Sanchez, Sergio
    Garcia-Sanchez, Manuel
    Arroyo, German
    Medina-Medina, Nuria
    Montes-Soldado, Rosana
    Soler-Martinez, Francisco
    Abad-Grau, Maria M.
    BIOINFORMATICS: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BIOINFORMATICS MODELS, METHODS AND ALGORITHMS, 2012, : 275 - 280
  • [39] 3D visualization of color image histograms
    Reitan, PJ
    COMPUTER NETWORKS AND ISDN SYSTEMS, 1998, 30 (20-21): : 2025 - 2035
  • [40] A taxonomy of 3D occlusion management for visualization
    Elmqvist, Niklas
    Tsigas, Philippas
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2008, 14 (05) : 1095 - 1109