Literature DB >> 34708438

Three-dimensional simultaneous brain mapping of T1, T2, T2 and magnetic susceptibility with MR Multitasking.

Tianle Cao1,2, Sen Ma1, Nan Wang1, Sara Gharabaghi3, Yibin Xie1, Zhaoyang Fan1,4, Elliot Hogg5, Chaowei Wu1,2, Fei Han6, Michele Tagliati5, E Mark Haacke3,7,8, Anthony G Christodoulou1,2, Debiao Li1,2.   

Abstract

PURPOSE: To develop a new technique that enables simultaneous quantification of whole-brain T1 , T2 , T2∗ , as well as susceptibility and synthesis of six contrast-weighted images in a single 9.1-minute scan.
METHODS: The technique uses hybrid T2 -prepared inversion-recovery pulse modules and multi-echo gradient-echo readouts to collect k-space data with various T1, T2, and T2∗ weightings. The underlying image is represented as a six-dimensional low-rank tensor consisting of three spatial dimensions and three temporal dimensions corresponding to T1 recovery, T2 decay, and multi-echo behaviors, respectively. Multiparametric maps were fitted from reconstructed image series. The proposed method was validated on phantoms and healthy volunteers, by comparing quantitative measurements against corresponding reference methods. The feasibility of generating six contrast-weighted images was also examined.
RESULTS: High quality, co-registered T1 , T2 , and T2∗ susceptibility maps were generated that closely resembled the reference maps. Phantom measurements showed substantial consistency (R2 > 0.98) with the reference measurements. Despite the significant differences of T1 (p < .001), T2 (p = .002), and T2∗ (p = 0.008) between our method and the references for in vivo studies, excellent agreement was achieved with all intraclass correlation coefficients greater than 0.75. No significant difference was found for susceptibility (p = .900). The framework is also capable of synthesizing six contrast-weighted images.
CONCLUSION: The MR Multitasking-based 3D brain mapping of T1 , T2 , T2∗ , and susceptibility agrees well with the reference and is a promising technique for multicontrast and quantitative imaging.
© 2021 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MR Multitasking; MR studies; brain; multiparametric mapping; quantitative MRI

Mesh:

Year:  2021        PMID: 34708438      PMCID: PMC8776611          DOI: 10.1002/mrm.29059

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   3.737


  77 in total

1.  T1, T2 relaxation and magnetization transfer in tissue at 3T.

Authors:  Greg J Stanisz; Ewa E Odrobina; Joseph Pun; Michael Escaravage; Simon J Graham; Michael J Bronskill; R Mark Henkelman
Journal:  Magn Reson Med       Date:  2005-09       Impact factor: 4.668

2.  Evaluation of motion and its effect on brain magnetic resonance image quality in children.

Authors:  Onur Afacan; Burak Erem; Diona P Roby; Noam Roth; Amir Roth; Sanjay P Prabhu; Simon K Warfield
Journal:  Pediatr Radiol       Date:  2016-08-03

3.  Limitations of skipping echoes for exponential T2 fitting.

Authors:  Kelly C McPhee; Alan H Wilman
Journal:  J Magn Reson Imaging       Date:  2018-04-17       Impact factor: 4.813

4.  Extracting more for less: multi-echo MP2RAGE for simultaneous T1 -weighted imaging, T1 mapping, R 2 mapping, SWI, and QSM from a single acquisition.

Authors:  Hongfu Sun; Jon O Cleary; Rebecca Glarin; Scott C Kolbe; Roger J Ordidge; Bradford A Moffat; G Bruce Pike
Journal:  Magn Reson Med       Date:  2019-09-10       Impact factor: 4.668

5.  Magnetic susceptibility contrast variations in multiple sclerosis lesions.

Authors:  Xu Li; Daniel M Harrison; Hongjun Liu; Craig K Jones; Jiwon Oh; Peter A Calabresi; Peter C M van Zijl
Journal:  J Magn Reson Imaging       Date:  2015-06-14       Impact factor: 4.813

6.  Motion-robust quantitative multiparametric brain MRI with motion-resolved MR multitasking.

Authors:  Sen Ma; Nan Wang; Yibin Xie; Zhaoyang Fan; Debiao Li; Anthony G Christodoulou
Journal:  Magn Reson Med       Date:  2021-08-16       Impact factor: 4.668

7.  Human brain atlas for automated region of interest selection in quantitative susceptibility mapping: application to determine iron content in deep gray matter structures.

Authors:  Issel Anne L Lim; Andreia V Faria; Xu Li; Johnny T C Hsu; Raag D Airan; Susumu Mori; Peter C M van Zijl
Journal:  Neuroimage       Date:  2013-06-12       Impact factor: 6.556

8.  LORAKS makes better SENSE: Phase-constrained partial fourier SENSE reconstruction without phase calibration.

Authors:  Tae Hyung Kim; Kawin Setsompop; Justin P Haldar
Journal:  Magn Reson Med       Date:  2016-04-01       Impact factor: 4.668

9.  Fast Interleaved Multislice T1 Mapping: Model-Based Reconstruction of Single-Shot Inversion-Recovery Radial FLASH.

Authors:  Xiaoqing Wang; Dirk Voit; Volkert Roeloffs; Martin Uecker; Jens Frahm
Journal:  Comput Math Methods Med       Date:  2018-08-13       Impact factor: 2.238

10.  Multi-Echo Quantitative Susceptibility Mapping for Strategically Acquired Gradient Echo (STAGE) Imaging.

Authors:  Sara Gharabaghi; Saifeng Liu; Ying Wang; Yongsheng Chen; Sagar Buch; Mojtaba Jokar; Thomas Wischgoll; Nasser H Kashou; Chunyan Zhang; Bo Wu; Jingliang Cheng; E Mark Haacke
Journal:  Front Neurosci       Date:  2020-10-23       Impact factor: 4.677

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  1 in total

1.  Free-breathing, non-ECG, simultaneous myocardial T1 , T2 , T2 *, and fat-fraction mapping with motion-resolved cardiovascular MR multitasking.

Authors:  Tianle Cao; Nan Wang; Alan C Kwan; Hsu-Lei Lee; Xianglun Mao; Yibin Xie; Kim-Lien Nguyen; Caroline M Colbert; Fei Han; Pei Han; Hui Han; Anthony G Christodoulou; Debiao Li
Journal:  Magn Reson Med       Date:  2022-06-17       Impact factor: 3.737

  1 in total

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