PURPOSE: To investigate tissue dependence of the MRI-based thermometry in frozen tissue by quantification and comparison of signal intensity and T2* of ex vivo frozen tissue of three different types: heart muscle, kidney, and liver. MATERIALS AND METHODS: Tissue samples were frozen and imaged on a 0.5 Tesla MRI scanner with ultrashort echo time (UTE) sequence. Signal intensity and T2* were determined as the temperature of the tissue samples was decreased from room temperature to approximately -40 degrees C. Statistical analysis was performed for (-20 degrees C, -5 degrees C) temperature interval. RESULTS: The findings of this study demonstrate that signal intensity and T2* are consistent across three types of tissue for (-20 degrees C, -5 degrees C) temperature interval. CONCLUSION: Both parameters can be used to calculate a single temperature calibration curve for all three types of tissue and potentially in the future serve as a foundation for tissue-independent MRI-based thermometry.
PURPOSE: To investigate tissue dependence of the MRI-based thermometry in frozen tissue by quantification and comparison of signal intensity and T2* of ex vivo frozen tissue of three different types: heart muscle, kidney, and liver. MATERIALS AND METHODS: Tissue samples were frozen and imaged on a 0.5 Tesla MRI scanner with ultrashort echo time (UTE) sequence. Signal intensity and T2* were determined as the temperature of the tissue samples was decreased from room temperature to approximately -40 degrees C. Statistical analysis was performed for (-20 degrees C, -5 degrees C) temperature interval. RESULTS: The findings of this study demonstrate that signal intensity and T2* are consistent across three types of tissue for (-20 degrees C, -5 degrees C) temperature interval. CONCLUSION: Both parameters can be used to calculate a single temperature calibration curve for all three types of tissue and potentially in the future serve as a foundation for tissue-independent MRI-based thermometry.
Authors: Michael E J Stouthandel; Pim Pullens; Stephanie Bogaert; Max Schoepen; Carl Vangestel; Eric Achten; Liv Veldeman; Tom Van Hoof Journal: Strahlenther Onkol Date: 2022-04-11 Impact factor: 4.033
Authors: Jonathan A Disselhorst; Marcel A Krueger; S M Minhaz Ud-Dean; Ilja Bezrukov; Mohamed A Jarboui; Christoph Trautwein; Andreas Traube; Christian Spindler; Jonathan M Cotton; Dieter Leibfritz; Bernd J Pichler Journal: Proc Natl Acad Sci U S A Date: 2018-03-05 Impact factor: 11.205