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.
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.
Authors: Richard Dirnhofer; Christian Jackowski; Peter Vock; Kimberlee Potter; Michael J Thali Journal: Radiographics Date: 2006 Sep-Oct Impact factor: 5.333
Authors: Emin Aghayev; Martin Sonnenschein; Christian Jackowski; Michael Thali; Ursula Buck; Kathrin Yen; Stephan Bolliger; Richard Dirnhofer; Peter Vock Journal: AJR Am J Roentgenol Date: 2006-07 Impact factor: 3.959
Authors: Thomas D Ruder; Gary M Hatch; Lea Siegenthaler; Garyfalia Ampanozi; Sandra Mathier; Michael J Thali; Oliver M Weber Journal: Eur J Radiol Date: 2011-03-31 Impact factor: 3.528
Authors: Christian Jackowski; Karin Hofmann; Nicole Schwendener; Wolf Schweitzer; Morten Keller-Sutter Journal: Forensic Sci Int Date: 2011-07-28 Impact factor: 2.395
Authors: Chia-Ying Liu; David A Bluemke; Gary Gerstenblith; Stefan L Zimmerman; Ji Li; Hong Zhu; Shenghan Lai; Hong Lai Journal: Am J Cardiol Date: 2014-06-19 Impact factor: 2.778
Authors: Yao Ding; Ralph P Mason; Roderick W McColl; Qing Yuan; Rami R Hallac; Robert D Sims; Paul T Weatherall Journal: J Magn Reson Imaging Date: 2013-06-07 Impact factor: 4.813
Authors: Sudhin Thayyil; Neil J Sebire; Lyn S Chitty; Angie Wade; Wk Chong; Oystein Olsen; Roxana S Gunny; Amaka C Offiah; Catherine M Owens; Dawn E Saunders; Rosemary J Scott; Rod Jones; Wendy Norman; Shea Addison; Alan Bainbridge; Ernest B Cady; Enrico De Vita; Nicola J Robertson; Andrew M Taylor Journal: Lancet Date: 2013-05-16 Impact factor: 79.321
Authors: Nicole Schwendener; Christian Jackowski; Frederick Schuster; Anders Persson; Marcel J Warntjes; Wolf -Dieter Zech Journal: Int J Legal Med Date: 2017-06-17 Impact factor: 2.686
Authors: Anders Persson; John Baeckmann; Johan Berge; Christian Jackowski; Marcel Warntjes; Wolf-Dieter Zech Journal: Int J Legal Med Date: 2017-06-13 Impact factor: 2.686
Authors: Sarah Keller; Tony M Schmidt; Anne Catherine Kim; Roland Fischer; Axel Heinemann; Gerhard Adam; Jin Yamamura Journal: Int J Legal Med Date: 2017-09-14 Impact factor: 2.686
Authors: Bridgette Webb; Martin Manninger; Marlene Leoni; Thomas Widek; Martin Dobrovnik; Daniel Scherr; Rudolf Stollberger; Thorsten Schwark Journal: Int J Legal Med Date: 2019-12-18 Impact factor: 2.686
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: Ivo M Wagensveld; Britt M Blokker; Piotr A Wielopolski; Nomdo S Renken; Gabriel P Krestin; Myriam G Hunink; J Wolter Oosterhuis; Annick C Weustink Journal: PLoS One Date: 2017-09-27 Impact factor: 3.240
Authors: Bridgette Webb; Thomas Widek; Bernhard Neumayer; Christine Bruguier; Sylvia Scheicher; Hanna Sprenger; Silke Grabherr; Thorsten Schwark; Rudolf Stollberger Journal: Int J Legal Med Date: 2016-11-29 Impact factor: 2.686