HemoVision: An automated and virtual approach to bloodstain pattern analysis.
Bloodstain pattern analysis (BPA) is a subspecialty of forensic sciences, dealing with the analysis and interpretation of bloodstain patterns in crime scenes. The aim of BPA is uncovering new information about the actions that took place in a crime scene, potentially leading to a confirmation or refutation of a suspect's statement. A typical goal of BPA is to estimate the flight paths for a set of stains, followed by a directional analysis in order to estimate the area of origin for the stains. The traditional approach, referred to as stringing, consists of attaching a piece of string to each stain, and letting the string represent an approximation of the stain's flight path. Even though stringing has been used extensively, many (practical) downsides exist. We propose an automated and virtual approach, employing fiducial markers and digital images. By automatically reconstructing a single coordinate frame from several images, limited user input is required. Synthetic crime scenes were created and analysed in order to evaluate the approach. Results demonstrate the correct operation and practical advantages, suggesting that the proposed approach may become a valuable asset for practically analysing bloodstain spatter patterns. Accompanying software called HemoVision is currently provided as a demonstrator and will be further developed for practical use in forensic investigations.
KU Leuven, Department of Electrical Engineering, ESAT/PSI, Medical Image Computing, Belgium; UZ Leuven, Medical Imaging Research Center & iMinds, Future Health Department, Belgium; Department of Forensic Medicine, University Hospitals KUL-UZ Leuven, Belgium. Electronic address: philip.joris@esat.kuleuven.be.
Philip
P
Joris
Department of Forensic Medicine, University Hospitals KUL-UZ Leuven, Belgium. Electronic address: wim.develter@uzleuven.be.
Wim
W
Develter
Department of Forensic Medicine, University Hospitals KUL-UZ Leuven, Belgium. Electronic address: els.jenar@uzleuven.be.
Els
E
Jenar
KU Leuven, Department of Electrical Engineering, ESAT/PSI, Medical Image Computing, Belgium; UZ Leuven, Medical Imaging Research Center & iMinds, Future Health Department, Belgium. Electronic address: paul.suetens@esat.kuleuven.be.
Paul
P
Suetens
KU Leuven, Department of Electrical Engineering, ESAT/PSI, Medical Image Computing, Belgium; UZ Leuven, Medical Imaging Research Center & iMinds, Future Health Department, Belgium. Electronic address: dirk.vandermeulen@esat.kuleuven.be.
Dirk
D
Vandermeulen
Department of Forensic Medicine, University Hospitals KUL-UZ Leuven, Belgium. Electronic address: wim.vandevoorde@uzleuven.be.
Wim
W
Van de Voorde
KU Leuven, Department of Electrical Engineering, ESAT/PSI, Medical Image Computing, Belgium; UZ Leuven, Medical Imaging Research Center & iMinds, Future Health Department, Belgium. Electronic address: peter.claes@esat.kuleuven.be.
Peter
P
Claes
D001801:Blood Stains; D057918:Fiducial Markers; D005554:Forensic Medicine / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography
Automated; Bloodstain pattern analysis; HemoVision; Virtual