PURPOSE: During autopsy, forensic pathologists today mostly rely on visible indication, tactile perception and experience to determine the cause of death. Although computed tomography (CT) data is often available for the bodies under examination, these data are rarely used due to the lack of radiological workstations in the pathological suite. The data may prevent the forensic pathologist from damaging evidence by allowing him to associate, for example, external wounds to internal injuries. To facilitate this, we propose a new multimodal approach for intuitive visualization of forensic data and evaluate its feasibility. METHODS: A range camera is mounted on a tablet computer and positioned in a way such that the camera simultaneously captures depth and color information of the body. A server estimates the camera pose based on surface registration of CT and depth data to allow for augmented reality visualization of the internal anatomy directly on the tablet. Additionally, projection of color information onto the CT surface is implemented. RESULTS: We validated the system in a postmortem pilot study using fiducials attached to the skin for quantification of a mean target registration error of [Formula: see text] mm. CONCLUSIONS: The system is mobile, markerless, intuitive and real-time capable with sufficient accuracy. It can support the forensic pathologist during autopsy with augmented reality and textured surfaces. Furthermore, the system enables multimodal documentation for presentation in court. Despite its preliminary prototype status, it has high potential due to its low price and simplicity.
PURPOSE: During autopsy, forensic pathologists today mostly rely on visible indication, tactile perception and experience to determine the cause of death. Although computed tomography (CT) data is often available for the bodies under examination, these data are rarely used due to the lack of radiological workstations in the pathological suite. The data may prevent the forensic pathologist from damaging evidence by allowing him to associate, for example, external wounds to internal injuries. To facilitate this, we propose a new multimodal approach for intuitive visualization of forensic data and evaluate its feasibility. METHODS: A range camera is mounted on a tablet computer and positioned in a way such that the camera simultaneously captures depth and color information of the body. A server estimates the camera pose based on surface registration of CT and depth data to allow for augmented reality visualization of the internal anatomy directly on the tablet. Additionally, projection of color information onto the CT surface is implemented. RESULTS: We validated the system in a postmortem pilot study using fiducials attached to the skin for quantification of a mean target registration error of [Formula: see text] mm. CONCLUSIONS: The system is mobile, markerless, intuitive and real-time capable with sufficient accuracy. It can support the forensic pathologist during autopsy with augmented reality and textured surfaces. Furthermore, the system enables multimodal documentation for presentation in court. Despite its preliminary prototype status, it has high potential due to its low price and simplicity.
Authors: Garyfalia Ampanozi; David Zimmermann; Gary M Hatch; Thomas D Ruder; Steffen Ross; Patricia M Flach; Michael J Thali; Lars C Ebert Journal: Leg Med (Tokyo) Date: 2012-02-17 Impact factor: 1.376
Authors: Lars Christian Ebert; Wolfgang Ptacek; Silvio Naether; Martin Fürst; Steffen Ross; Ursula Buck; Stefan Weber; Michael Thali Journal: Int J Med Robot Date: 2010-03 Impact factor: 2.547
Authors: Martin Urschler; Johannes Höller; Alexander Bornik; Tobias Paul; Michael Giretzlehner; Horst Bischof; Kathrin Yen; Eva Scheurer Journal: Forensic Sci Int Date: 2014-05-29 Impact factor: 2.395
Authors: Alexander Seitel; Kwong Yung; Sven Mersmann; Thomas Kilgus; Anja Groch; Thiago R dos Santos; Alfred M Franz; Marco Nolden; Hans-Peter Meinzer; Lena Maier-Hein Journal: Int J Comput Assist Radiol Surg Date: 2011-05-31 Impact factor: 2.924
Authors: Lars Christian Ebert; Wolfgang Ptacek; Robert Breitbeck; Martin Fürst; Gernot Kronreif; Rosa Maria Martinez; Michael Thali; Patricia M Flach Journal: Forensic Sci Med Pathol Date: 2014-01-29 Impact factor: 2.007
Authors: Alexander Seitel; Nadine Bellemann; Mohammadreza Hafezi; Alfred M Franz; Mark Servatius; Arash Saffari; Thomas Kilgus; Heinz-Peter Schlemmer; Arianeb Mehrabi; Boris A Radeleff; Lena Maier-Hein Journal: Int J Comput Assist Radiol Surg Date: 2015-05-28 Impact factor: 2.924
Authors: Leah A Groves; Patrick Carnahan; Daniel R Allen; Rankin Adam; Terry M Peters; Elvis C S Chen Journal: Int J Comput Assist Radiol Surg Date: 2019-05-08 Impact factor: 2.924
Authors: Martin Klemm; Thomas Kirchner; Janek Gröhl; Dominique Cheray; Marco Nolden; Alexander Seitel; Harald Hoppe; Lena Maier-Hein; Alfred M Franz Journal: Int J Comput Assist Radiol Surg Date: 2016-09-29 Impact factor: 2.924