Literature DB >> 33409790

Quantitative MRI using STrategically Acquired Gradient Echo (STAGE): optimization for 1.5 T scanners and T1 relaxation map validation.

Alice Pirastru1, Yongsheng Chen2, Laura Pelizzari1, Francesca Baglio1, Mario Clerici1,3, E Mark Haacke2,4,5,6, Maria Marcella Laganà7.   

Abstract

OBJECTIVES: The strategically acquired gradient echo (STAGE) protocol, developed for 3T scanners, allows one to derive quantitative maps such as T1, T2*, proton density, and quantitative susceptibility mapping in about 5 min. Our aim was to adapt the STAGE sequences for 1.5T scanners which are still commonly used in clinical practice. Furthermore, the accuracy and repeatability of the STAGE-derived T1 estimate were tested.
METHODS: Flip angle (FA) optimization was performed using a theoretical simulation by maximizing signal-to-noise ratio, contrast-to-noise ratio, and T1 precision. The FA choice was further refined with the ISMRM/NIST phantom and in vivo acquisitions. The accuracy of the T1 estimate was assessed by comparing STAGE-derived T1 values with T1 maps obtained with an inversion recovery sequence. T1 accuracy was investigated for both the phantom and in vivo data. Finally, one subject was acquired 10 times once a week and a group of 27 subjects was scanned once. The T1 coefficient of variation (COV) was computed to assess scan-rescan and physiological variability, respectively.
RESULTS: The FA1,2 = 7°,38° were identified as the optimal FA pair at 1.5T. The T1 estimate errors were below 3% and 5% for phantom and in vivo measurements, respectively. COV for different tissues ranged from 1.8 to 4.8% for physiological variability, and between 0.8 and 2% for scan-rescan repeatability.
CONCLUSION: The optimized STAGE protocol can provide accurate and repeatable T1 mapping along with other qualitative images and quantitative maps in about 7 min on 1.5T scanners. This study provides the groundwork to assess the role of STAGE in clinical settings. KEY POINTS: • The STAGE imaging protocol was optimized for use on 1.5T field strength scanners. • A practical STAGE protocol makes it possible to derive quantitative maps (i.e., T1, T2*, PD, and QSM) in about 7 min at 1.5T. • The T1 estimate derived from the STAGE protocol showed good accuracy and repeatability.

Entities:  

Keywords:  Brain; Magnetic resonance imaging; Multi-parametric magnetic resonance imaging; Phantoms, imaging

Year:  2021        PMID: 33409790     DOI: 10.1007/s00330-020-07515-z

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  37 in total

1.  Rapid combined T1 and T2 mapping using gradient recalled acquisition in the steady state.

Authors:  Sean C L Deoni; Brian K Rutt; Terry M Peters
Journal:  Magn Reson Med       Date:  2003-03       Impact factor: 4.668

2.  Assessing global and regional iron content in deep gray matter as a function of age using susceptibility mapping.

Authors:  Manju Liu; Saifeng Liu; Kiarash Ghassaban; Weili Zheng; Dane Dicicco; Yanwei Miao; Charbel Habib; Tarek Jazmati; E Mark Haacke
Journal:  J Magn Reson Imaging       Date:  2015-12-23       Impact factor: 4.813

3.  Improving susceptibility mapping using a threshold-based K-space/image domain iterative reconstruction approach.

Authors:  J Tang; S Liu; J Neelavalli; Y C N Cheng; S Buch; E M Haacke
Journal:  Magn Reson Med       Date:  2012-06-26       Impact factor: 4.668

4.  Selection of specialized creators.

Authors:  B O Bergum
Journal:  Psychol Rep       Date:  1973-10

5.  An interleaved sequence for simultaneous magnetic resonance angiography (MRA), susceptibility weighted imaging (SWI) and quantitative susceptibility mapping (QSM).

Authors:  Yongsheng Chen; Saifeng Liu; Sagar Buch; Jiani Hu; Yan Kang; E Mark Haacke
Journal:  Magn Reson Imaging       Date:  2017-11-14       Impact factor: 2.546

6.  Spin-lattice relaxation and magnetization transfer in intracranial tumors in vivo: effects of Gd-DTPA on relaxation parameters.

Authors:  T Kurki; M Komu
Journal:  Magn Reson Imaging       Date:  1995       Impact factor: 2.546

Review 7.  Multiple sclerosis: current and emerging disease-modifying therapies and treatment strategies.

Authors:  Dean M Wingerchuk; Jonathan L Carter
Journal:  Mayo Clin Proc       Date:  2014-02       Impact factor: 7.616

8.  High-resolution T1 and T2 mapping of the brain in a clinically acceptable time with DESPOT1 and DESPOT2.

Authors:  Sean C L Deoni; Terry M Peters; Brian K Rutt
Journal:  Magn Reson Med       Date:  2005-01       Impact factor: 4.668

9.  Screening for colorectal carcinoma in cancer family syndrome kindreds.

Authors:  J P Mecklin; H J Järvinen; S Aukee; I Elomaa; K Karjalainen
Journal:  Scand J Gastroenterol       Date:  1987-05       Impact factor: 2.423

10.  The Combined Quantification and Interpretation of Multiple Quantitative Magnetic Resonance Imaging Metrics Enlightens Longitudinal Changes Compatible with Brain Repair in Relapsing-Remitting Multiple Sclerosis Patients.

Authors:  Guillaume Bonnier; Benedicte Maréchal; Mário João Fartaria; Pavel Falkowskiy; José P Marques; Samanta Simioni; Myriam Schluep; Renaud Du Pasquier; Jean-Philippe Thiran; Gunnar Krueger; Cristina Granziera
Journal:  Front Neurol       Date:  2017-09-27       Impact factor: 4.003

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.