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Temperature dependence of postmortem MR quantification for soft tissue discrimination

Zech, Wolf-Dieter ; Schwendener, Nicole ; Persson, Anders ; Warntjes, Marcel ; Jackowski, Christian

In: European Radiology, 2015, vol. 25, no. 8, p. 2381-2389

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    Titre
    • Temperature dependence of postmortem MR quantification for soft tissue discrimination
    Auteur
    • Zech, Wolf-Dieter. From the Institute of Forensic Medicine, University of Bern, Buehlstrasse 20, 3012, Bern, Switzerland
    • Schwendener, Nicole. From the Institute of Forensic Medicine, University of Bern, Buehlstrasse 20, 3012, Bern, Switzerland
    • Persson, Anders. The Center for Medical Image Science and Visualization (CMIV), University of Linköping, 58185, Linköping, Sweden
    • Warntjes, Marcel. The Center for Medical Image Science and Visualization (CMIV), University of Linköping, 58185, Linköping, Sweden
    • Jackowski, Christian. From the Institute of Forensic Medicine, University of Bern, Buehlstrasse 20, 3012, Bern, Switzerland
    Type de document
    • Postprint
    Langue
    • Anglais
    Publié dans
    • European Radiology, 2015, vol. 25, no. 8, p. 2381-2389. Springer Berlin Heidelberg
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:331515
    Summary
    Objectives: To investigate and correct the temperature dependence of postmortem MR quantification used for soft tissue characterization and differentiation in thoraco-abdominal organs. Material and methods: Thirty-five postmortem short axis cardiac 3-T MR examinations were quantified using a quantification sequence. Liver, spleen, left ventricular myocardium, pectoralis muscle and subcutaneous fat were analysed in cardiac short axis images to obtain mean T1, T2 and PD tissue values. The core body temperature was measured using a rectally inserted thermometer. The tissue-specific quantitative values were related to the body core temperature. Equations to correct for temperature differences were generated. Results: In a 3D plot comprising the combined data of T1, T2 and PD, different organs/tissues could be well differentiated from each other. The quantitative values were influenced by the temperature. T1 in particular exhibited strong temperature dependence. The correction of quantitative values to a temperature of 37°C resulted in better tissue discrimination. Conclusion: Postmortem MR quantification is feasible for soft tissue discrimination and characterization of thoraco-abdominal organs. This provides a base for computer-aided diagnosis and detection of tissue lesions. The temperature dependence of the T1 values challenges postmortem MR quantification. Equations to correct for the temperature dependence are provided. Key points: • Postmortem MR quantification is feasible for soft tissue discrimination and characterization • Temperature dependence of the T1 values challenges the MR quantification approach • The results provide the basis for computer-aided postmortem MRI diagnosis • Diagnostic criteria may also be applied for living patients