Detection and volume estimation of artificial hematomas in the subcutaneous fatty tissue: Comparison of different MR sequences at 3.0 T

Kathrin Ogris, Andreas Petrovic, Sylvia Scheicher, Hanna Sprenger, Martin Urschler, Eva Hassler, Kathrin Yen, Eva Scheurer

Research output: Contribution to journalArticle

Abstract

In legal medicine, reliable localization and analysis of hematomas in subcutaneous fatty tissue is required for forensic reconstruction. Due to the absence of ionizing radiation, magnetic resonance imaging (MRI) is particularly suited to examining living persons with forensically relevant injuries. However, there is limited experience regarding MRI signal properties of hemorrhage in soft tissue. The aim of this study was to evaluate MR sequences with respect to their ability to show high contrast between hematomas and subcutaneous fatty tissue as well as to reliably determine the volume of artificial hematomas. Porcine tissue models were prepared by injecting blood into the subcutaneous fatty tissue to create artificial hematomas. MR images were acquired at 3T and four blinded observers conducted manual segmentation of the hematomas. To assess segmentability, the agreement of measured volume with the known volume of injected blood was statistically analyzed. A physically motivated normalization taking into account partial volume effect was applied to the data to ensure comparable results among differently sized hematomas. The inversion recovery sequence exhibited the best segmentability rate, whereas the T1T2w turbo spin echo sequence showed the most accurate results regarding volume estimation. Both sequences led to reproducible volume estimations. This study demonstrates that MRI is a promising forensic tool to assess and visualize even very small amounts of blood in soft tissue. The presented results enable the improvement of protocols for detection and volume determination of hemorrhage in forensically relevant cases and also provide fundamental knowledge for future in-vivo examinations.

Original languageEnglish
Pages (from-to)135-144
Number of pages10
JournalForensic Science, Medicine, and Pathology
Volume13
Issue number2
Early online date1 Mar 2017
DOIs
Publication statusPublished - Jun 2017

Fields of Expertise

  • Human- & Biotechnology
  • Information, Communication & Computing

Cooperations

  • BioTechMed-Graz

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