Simultaneous Optimization of MP2RAGE T1-weighted (UNI) and FLuid And White matter Suppression (FLAWS) brain images at 7T using Extended Phase Graph (EPG) Simulations

被引:3
|
作者
Dokumaci, Ayse Sila [1 ,2 ]
Aitken, Fraser R. [1 ,2 ]
Sedlacik, Jan [2 ,3 ]
Bridgen, Pip [1 ,2 ]
Tomi-Tricot, Raphael [1 ,2 ,4 ]
Mooiweer, Ronald [1 ,4 ]
Vecchiato, Katy [2 ,5 ,6 ]
Wilkinson, Tom [1 ,2 ]
Casella, Chiara [2 ,6 ]
Giles, Sharon [1 ,2 ]
Hajnal, Joseph, V [1 ,2 ]
Malik, Shaihan J. [1 ,2 ]
O'Muircheartaigh, Jonathan [2 ,5 ,6 ,7 ]
Carmichael, David W. [1 ,2 ]
机构
[1] Kings Coll London, Sch Biomed Engn & Imaging Sci, Biomed Engn Dept, London, England
[2] London Collaborat Ultra High Field Syst LoCUS, London, England
[3] Great Ormond St Hosp Sick Children, Radiol Dept, London, England
[4] Siemens Healthcare Ltd, MR Res Collaborat, Camberley, England
[5] Kings Coll London, Inst Psychiat Psychol & Neurosci, Dept Forens & Neurodev Sci, London, England
[6] Kings Coll London, Ctr Developing Brain, Sch Biomed Engn & Imaging Sci, London, England
[7] Kings Coll London, MRC Ctr Neurodev Disorders, London, England
基金
英国医学研究理事会; “创新英国”项目; 英国工程与自然科学研究理事会; 英国惠康基金;
关键词
7T; FLAWS; MP2RAGE; MRI; ultrahigh field; MULTIPLE-SCLEROSIS; HIGH-RESOLUTION; INVERSION; MRI; SENSITIVITY; ACQUISITION; CONTRAST; SEQUENCE; T-1;
D O I
10.1002/mrm.29479
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose The MP2RAGE sequence is typically optimized for either T-1-weighted uniform image (UNI) or gray matter-dominant fluid and white matter suppression (FLAWS) contrast images. Here, the purpose was to optimize an MP2RAGE protocol at 7 Tesla to provide UNI and FLAWS images simultaneously in a clinically applicable acquisition time at Using the extended phase graph formalism, the signal evolution of the MP2RAGE sequence was simulated incorporating T-2 relaxation, diffusion, RF spoiling, and B-1(+) variability. Flip angles and TI were optimized at different TRs (TRMP2RAGE) to produce an optimal contrast-to-noise ratio for UNI and FLAWS images. Simulation results were validated by comparison to MP2RAGE brain scans of 5 healthy subjects, and a final protocol at TRMP2RAGE = 4000 ms was applied in 19 subjects aged 8-62 years with and without epilepsy. Results FLAWS contrast images could be obtained while maintaining >85% of the optimal UNI contrast-to-noise ratio. Using TI1/TI2/TRMP2RAGE of 650/2280/4000 ms, 6/8 partial Fourier in the inner phase-encoding direction, and GRAPPA factor = 4 in the other, images with 0.65 mm isotropic resolution were produced in <7.5 min. The contrast-to-noise ratio was around 20% smaller at TRMP2RAGE = 4000 ms compared to that at TRMP2RAGE = 5000 ms; however, the 20% shorter duration makes TRMP2RAGE = 4000 ms a good candidate for clinical applications example, pediatrics. Conclusion FLAWS and UNI images could be obtained in a single scan with 0.65 mm isotropic resolution, providing a set of high-contrast images and full brain coverage in a clinically applicable scan time. Images with excellent anatomical detail were demonstrated over a wide age range using the optimized parameter set.
引用
收藏
页码:937 / 950
页数:14
相关论文
共 11 条
  • [1] Robust T1-Weighted Structural Brain Imaging and Morphometry at 7T Using MP2RAGE
    O'Brien, Kieran R.
    Kober, Tobias
    Hagmann, Patric
    Maeder, Philippe
    Marques, Jose
    Lazeyras, Francois
    Krueger, Gunnar
    Roche, Alexis
    PLOS ONE, 2014, 9 (06):
  • [2] Advantages of fluid and white matter suppression (FLAWS) with MP2RAGE compared with double inversion recovery turbo spin echo (DIR-TSE) at 7T
    Urushibata, Yuta
    Kuribayashi, Hideto
    Fujimoto, Koji
    Kober, Tobias
    Grinstead, John W.
    Isa, Tadashi
    Okada, Tomohisa
    EUROPEAN JOURNAL OF RADIOLOGY, 2019, 116 : 160 - 164
  • [3] Can 7T MPRAGE match MP2RAGE for gray-white matter contrast?
    Oliveira, Icaro A. F.
    Roos, Thomas
    Dumoulin, Serge O.
    Siero, Jeroen C. W.
    Van der Zwaag, Wietske
    NEUROIMAGE, 2021, 240
  • [4] 7T MP2RAGE MRI for assessment of myelination status in white matter lesions of multiple sclerosis.
    Kolb, H.
    Absinta, M.
    Ha, S. K.
    Song, Y.
    Cortese, I. M.
    Nair, G.
    Sati, P.
    Reich, D. S.
    MULTIPLE SCLEROSIS JOURNAL, 2018, 24 : 103 - 104
  • [5] HIGH CONTRAST T-WEIGTHED MRI WITH FLUID AND WHITE SUPPRESSION USING MP2RAGE
    Beaumont, J.
    Saint-Jalmes, H.
    Acosta, O.
    Kober, T.
    Tanner, M.
    Ferre, J. C.
    Salvado, O.
    Fripp, J.
    Gambarota, G.
    2019 IEEE 16TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2019), 2019, : 701 - 704
  • [6] Mapping internal brainstem structures using MP2RAGE derived T1 weighted and T1 relaxation images at 3 and 7 T
    Mueller, Susanne G.
    HUMAN BRAIN MAPPING, 2020, 41 (08) : 2173 - 2186
  • [7] High-resolution multi-T1-weighted contrast and T1mapping with lowB1>+sensitivity using the fluid and white matter suppression (FLAWS) sequence at 7T
    Beaumont, Jeremy
    Gambarota, Giulio
    Saint-Jalmes, Herve
    Acosta, Oscar
    Ferre, Jean-Christophe
    Raniga, Parnesh
    Fripp, Jurgen
    MAGNETIC RESONANCE IN MEDICINE, 2021, 85 (03) : 1364 - 1378
  • [8] Optimization of MP2RAGE T1 mapping with radial view-ordering for deep brain stimulation targeting at 7 T MRI
    Tao, Shengzhen
    Zhou, Xiangzhi
    Lin, Chen
    Patel, Vishal
    Westerhold, Erin M.
    Middlebrooks, Erik H.
    MAGNETIC RESONANCE IMAGING, 2023, 100 : 55 - 63
  • [9] Extracting more for less: multi-echo MP2RAGE for simultaneous T1-weighted imaging, T1 mapping, R2*mapping, SWI, and QSM from a single acquisition
    Sun, Hongfu
    Cleary, Jon O.
    Glarin, Rebecca
    Kolbe, Scott C.
    Ordidge, Roger J.
    Moffat, Bradford A.
    Pike, G. Bruce
    MAGNETIC RESONANCE IN MEDICINE, 2020, 83 (04) : 1178 - 1191
  • [10] High resolution automated labeling of the hippocampus and amygdala using a 3D convolutional neural network trained on whole brain 700 μm isotropic 7T MP2RAGE MRI
    Pardoe, Heath R.
    Antony, Arun Raj
    Hetherington, Hoby
    Bagic, Anto I.
    Shepherd, Timothy M.
    Friedman, Daniel
    Devinsky, Orrin
    Pan, Jullie
    HUMAN BRAIN MAPPING, 2021, 42 (07) : 2089 - 2098