Skip to main content

Forensic Imaging

  • Volume 4Issue 4

  • ISSN: 2666-2264

Editor-In-Chief: Michael J. Thali

  • 5 Year impact factor: 0.8
  • Impact factor: 0.8

The first and only international journal dedicated to Forensic ImagingOfficial Publication of the International Society of Radiology and Imaging (ISFRI) and International Associa… Read more

Subscription options

Institutional subscription on ScienceDirect

Request a sales quote

The first and only international journal dedicated to Forensic Imaging

Official Publication of the International Society of Radiology and Imaging (ISFRI) and International Association of Forensic Radiographers (IAFR).

Formerly known as Journal of Forensic Radiology and Imaging (JOFRI), Forensic Imaging is the first and only journal dedicated to all aspects of forensic imaging and its implications for forensic medicine.

Forensic Imaging covers various noninvasive and minimally invasive examination methods in a forensic context, mainly around the context of postmortem imaging, but also in conjunction with clinical forensic cases. Research subjects that are associated with these domains also include forensic veterinary investigations, forensic anthropology, as well as the use of 3D data acquired with a variety of imaging sensors.

Forensic Imaging seeks to publish cutting-edge research, best practices, and new approaches by presenting evidence-based reviews, original research, technical notes, brief communications, and case-studies of scientific relevance across the following areas:

  • Radiological examinations: x-ray, computed tomography (CT), magnetic resonance imaging (MRI), angiography, ultrasound, micro-CT, micro-MRI

  • Surface examinations: photogrammetry, 3D scanner technology, forensic photogrammetry

  • Computer-assisted reality: virtual reality, augmented reality, crime scene reconstruction

  • Data processing: rendering techniques, visualization tools, segmentation, 3D printing, image fusion

  • Specific nonimaging examinations: magnetic resonance spectroscopy, Hounsfield unit profiling, material differentiation

  • Artificial intelligence: machine learning, deep learning