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Quantitative MRI in Isotropic Spatial Resolution for Forensic Soft Tissue Documentation. Why and How?
Universität Zürich, Inst für Rechtsmedizin, Winterthurerstrasse 190/52, CH-8057 Zürich, Switzerland.
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Medical and Health Sciences, Clinical Physiology. Linköping University, Faculty of Health Sciences.
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Medical and Health Sciences, Radiology. Östergötlands Läns Landsting, Center for Diagnostics, Department of Radiology in Linköping. Linköping University, Faculty of Health Sciences.ORCID iD: 0000-0003-3124-8044
Rättsmedicinalverket, Rättsmedicinska avdelningen, Artillerigatan 12, 587 58 Linköping.
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2011 (English)In: Journal of Forensic Sciences, ISSN 0022-1198, E-ISSN 1556-4029, Vol. 56, no 1, 208-215 p.Article in journal (Refereed) Published
Abstract [en]

A quantification of T1, T2, and PD in high isotropic resolution was performed on corpses. Isotropic and quantified postmortem magnetic resonance (IQpmMR) enables sophisticated 3D postprocessing, such as reformatting and volume rendering. The body tissues can be characterized by the combination of these three values. The values of T1, T2, and PD were given as coordinates in a T1-T2-PD space where similar tissue voxels formed clusters. Implementing in a volume rendering software enabled color encoding of specific tissues and pathologies in 3D models of the corpse similar to computed tomography, but with distinctively more powerful soft tissue discrimination. From IQpmMR data, any image plane at any contrast weighting may be calculated or 3D color-encoded volume rendering may be carried out. The introduced approach will enable future computer-aided diagnosis that, e.g., checks corpses for a hemorrhage distribution based on the knowledge of its T1-T2-PD vector behavior in a high spatial resolution.

Place, publisher, year, edition, pages
Blackwell , 2011. Vol. 56, no 1, 208-215 p.
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-63691DOI: 10.1111/j.1556-4029.2010.01547.xISI: 000285839300030PubMedID: 20840290OAI: oai:DiVA.org:liu-63691DiVA: diva2:382235
Available from: 2010-12-30 Created: 2010-12-30 Last updated: 2017-12-11

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Warntjes, MarcelKihlberg, JohanPersson, Anders

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Warntjes, MarcelKihlberg, JohanPersson, Anders
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Center for Medical Image Science and Visualization (CMIV)Clinical PhysiologyFaculty of Health SciencesRadiologyDepartment of Radiology in Linköping
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Journal of Forensic Sciences
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