Tianle Cao1,2, Nan Wang3, Alan C Kwan1,4, Hsu-Lei Lee1, Xianglun Mao1, Yibin Xie1, Kim-Lien Nguyen1,2,5, Caroline M Colbert5,6, Fei Han7, Pei Han1,2, Hui Han1,2, Anthony G Christodoulou1,2, Debiao Li1,2. 1. Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA. 2. Department of Bioengineering, University of California, Los Angeles, California, USA. 3. Radiology Department, Stanford University, Stanford, California, USA. 4. Department of Imaging and Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA. 5. Department of Radiological Sciences, David Geffen School of Medicine and VA Greater Los Angeles Healthcare System, Los Angeles, California, USA. 6. Physics and Biology in Medicine, University of California, Los Angeles, California, USA. 7. MR Research and Development, Siemens Medical Solutions USA, Inc., Los Angeles, California, USA.
Abstract
PURPOSE: To develop a free-breathing, non-electrocardiogram technique for simultaneous myocardial T1 , T2 , T2 *, and fat-fraction (FF) mapping in a single scan. METHODS: The MR Multitasking framework is adapted to quantify T1 , T2 , T2 *, and FF simultaneously. A variable TR scheme is developed to preserve temporal resolution and imaging efficiency. The underlying high-dimensional image is modeled as a low-rank tensor, which allows accelerated acquisition and efficient reconstruction. The accuracy and/or repeatability of the technique were evaluated on static and motion phantoms, 12 healthy volunteers, and 3 patients by comparing to the reference techniques. RESULTS: In static and motion phantoms, T1 /T2 /T2 */FF measurements showed substantial consistency (R > 0.98) and excellent agreement (intraclass correlation coefficient > 0.93) with reference measurements. In human subjects, the proposed technique yielded repeatable T1 , T2 , T2 *, and FF measurements that agreed with those from references. CONCLUSIONS: The proposed free-breathing, non-electrocardiogram, motion-resolved Multitasking technique allows simultaneous quantification of myocardial T1 , T2 , T2 *, and FF in a single 2.5-min scan.
PURPOSE: To develop a free-breathing, non-electrocardiogram technique for simultaneous myocardial T1 , T2 , T2 *, and fat-fraction (FF) mapping in a single scan. METHODS: The MR Multitasking framework is adapted to quantify T1 , T2 , T2 *, and FF simultaneously. A variable TR scheme is developed to preserve temporal resolution and imaging efficiency. The underlying high-dimensional image is modeled as a low-rank tensor, which allows accelerated acquisition and efficient reconstruction. The accuracy and/or repeatability of the technique were evaluated on static and motion phantoms, 12 healthy volunteers, and 3 patients by comparing to the reference techniques. RESULTS: In static and motion phantoms, T1 /T2 /T2 */FF measurements showed substantial consistency (R > 0.98) and excellent agreement (intraclass correlation coefficient > 0.93) with reference measurements. In human subjects, the proposed technique yielded repeatable T1 , T2 , T2 *, and FF measurements that agreed with those from references. CONCLUSIONS: The proposed free-breathing, non-electrocardiogram, motion-resolved Multitasking technique allows simultaneous quantification of myocardial T1 , T2 , T2 *, and FF in a single 2.5-min scan.
Authors: Kelvin Chow; Jacqueline A Flewitt; Jordin D Green; Joseph J Pagano; Matthias G Friedrich; Richard B Thompson Journal: Magn Reson Med Date: 2013-07-23 Impact factor: 4.668
Authors: Amardeep Ghosh Dastidar; Iwan Harries; Giulia Pontecorboli; Vito D Bruno; Estefania De Garate; Charlie Moret; Anna Baritussio; Thomas W Johnson; Elisa McAlindon; Chiara Bucciarelli-Ducci Journal: Int J Cardiovasc Imaging Date: 2018-10-24 Impact factor: 2.357
Authors: Marianna Fontana; Sanjay M Banypersad; Thomas A Treibel; Viviana Maestrini; Daniel M Sado; Steven K White; Silvia Pica; Silvia Castelletti; Stefan K Piechnik; Matthew D Robson; Janet A Gilbertson; Dorota Rowczenio; David F Hutt; Helen J Lachmann; Ashutosh D Wechalekar; Carol J Whelan; Julian D Gillmore; Philip N Hawkins; James C Moon Journal: JACC Cardiovasc Imaging Date: 2014-01-08
Authors: Ingo Hermann; Peter Kellman; Omer B Demirel; Mehmet Akçakaya; Lothar R Schad; Sebastian Weingärtner Journal: Magn Reson Med Date: 2021-03-29 Impact factor: 4.668
Authors: Daniel R Messroghli; James C Moon; Vanessa M Ferreira; Lars Grosse-Wortmann; Taigang He; Peter Kellman; Julia Mascherbauer; Reza Nezafat; Michael Salerno; Erik B Schelbert; Andrew J Taylor; Richard Thompson; Martin Ugander; Ruud B van Heeswijk; Matthias G Friedrich Journal: J Cardiovasc Magn Reson Date: 2017-10-09 Impact factor: 5.364
Authors: Pan Ki Kim; Yoo Jin Hong; Dong Jin Im; Young Joo Suh; Chul Hwan Park; Jin Young Kim; Suyon Chang; Hye-Jeong Lee; Jin Hur; Young Jin Kim; Byoung Wook Choi Journal: Korean J Radiol Date: 2017-01-05 Impact factor: 3.500
Authors: Rocio Hinojar; Lucy Foote; Eduardo Arroyo Ucar; Thomas Jackson; Andrew Jabbour; Chung-Yao Yu; Jane McCrohon; David M Higgins; Gerry Carr-White; Manuel Mayr; Eike Nagel; Valentina O Puntmann Journal: JACC Cardiovasc Imaging Date: 2014-12-10
Authors: Sapan Bhuta; Neha J Patel; Jacob A Ciricillo; Michael N Haddad; Waleed Khokher; Mohammed Mhanna; Mitra Patel; Cameron Burmeister; Hazem Malas; Joel A Kammeyer Journal: Curr Probl Cardiol Date: 2022-09-17 Impact factor: 16.464