title: VIRTOPSY--scientific documentation, reconstruction and animation in forensic: individual and real 3D data based geo-metric approach including optical body/object surface and radiological CT/MRI scanning.
abstract: Until today, most of the documentation of forensic relevant medical findings is limited to traditional 2D photography, 2D conventional radiographs, sketches and verbal description. There are still some limitations of the classic documentation in forensic science especially if a 3D documentation is necessary. The goal of this paper is to demonstrate new 3D real data based geo-metric technology approaches. This paper present approaches to a 3D geo-metric documentation of injuries on the body surface and internal injuries in the living and deceased cases. Using modern imaging methods such as photogrammetry, optical surface and radiological CT/MRI scanning in combination it could be demonstrated that a real, full 3D data based individual documentation of the body surface and internal structures is possible in a non-invasive and non-destructive manner. Using the data merging/fusing and animation possibilities, it is possible to answer reconstructive questions of the dynamic development of patterned injuries (morphologic imprints) and to evaluate the possibility, that they are matchable or linkable to suspected injury-causing instruments. For the first time, to our knowledge, the method of optical and radiological 3D scanning was used to document the forensic relevant injuries of human body in combination with vehicle damages. By this complementary documentation approach, individual forensic real data based analysis and animation were possible linking body injuries to vehicle deformations or damages. These data allow conclusions to be drawn for automobile accident research, optimization of vehicle safety (pedestrian and passenger) and for further development of crash dummies. Real 3D data based documentation opens a new horizon for scientific reconstruction and animation by bringing added value and a real quality improvement in forensic science.
authors.affiliation: University of Berne, Institute of Forensic Medicine, Buehlstrasse 20, 3012 Berne, Switzerland. michael.thali@irm.unibe.ch
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Thali
authors.forename: Marcel
authors.initials: M
authors.lastname: Braun
authors.forename: Ursula
authors.initials: U
authors.lastname: Buck
authors.forename: Emin
authors.initials: E
authors.lastname: Aghayev
authors.forename: Christian
authors.initials: C
authors.lastname: Jackowski
authors.forename: Peter
authors.initials: P
authors.lastname: Vock
authors.forename: Martin
authors.initials: M
authors.lastname: Sonnenschein
authors.forename: Richard
authors.initials: R
authors.lastname: Dirnhofer
mesh_terms: D000063:Accidents, Traffic; D001696:Biomechanical Phenomena; D003198:Computer Simulation; D005554:Forensic Medicine / Q000379:methods*; D006801:Humans; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging; D016249:Optical Storage Devices; D012449:Safety; D014057:Tomography, X-Ray Computed; D014584:User-Computer Interface; D014947:Wounds and Injuries / Q000000981:diagnostic imaging*