Functional Sensitivity of 2D Simultaneous Multi-Slice Echo-Planar Imaging: Effects of Acceleration on g-factor and Physiological Noise

被引:31
|
作者
Todd, Nick [1 ]
Josephs, Oliver [2 ]
Zeidman, Peter [2 ]
Flandin, Guillaume [2 ]
Moeller, Steen [3 ]
Weiskopf, Nikolaus [2 ,4 ]
机构
[1] Harvard Med Sch, Brigham & Womens Hosp, Dept Radiol, Boston, MA USA
[2] UCL, Inst Neurol, Wellcome Trust Ctr Neuroimaging, London, England
[3] Univ Minnesota, Dept Radiol, Ctr Magnet Resonance Res, Minneapolis, MN 55455 USA
[4] Max Planck Inst Human Cognit & Brain Sci, Dept Neurophys, Leipzig, Germany
来源
FRONTIERS IN NEUROSCIENCE | 2017年 / 11卷
基金
欧洲研究理事会; 英国惠康基金;
关键词
simultaneous multi-slice; SMS; fMRI; acceleration; SNR; tSNR; high frequency noise; BOLD sensitivity; HUMAN CONNECTOME PROJECT; RESTING-STATE FMRI; 7; T; EPI; MRI; 3T; CONNECTIVITY; VALIDATION; BRAIN;
D O I
10.3389/fnins.2017.00158
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Accelerated data acquisition with simultaneous multi-slice (SMS) imaging for functional MRI studies leads to interacting and opposing effects that influence the sensitivity to blood oxygen level-dependent (BOLD) signal changes. Image signal to noise ratio (SNR) is decreased with higher SMS acceleration factors and shorter repetition times (TR) due to g-factor noise penalties and saturation of longitudinal magnetization. However, the lower image SNR is counteracted by greater statistical power from more samples per unit time and a higher temporal Nyquist frequency that allows for better removal of spurious non-BOLD high frequency signal content. This study investigated the dependence of the BOLD sensitivity on these main driving factors and their interaction, and provides a framework for evaluating optimal acceleration of SMS-EPI sequences. functional magnetic resonance imaging (fMRI) data from a scenes/objects visualization task was acquired in 10 healthy volunteers at a standard neuroscience resolution of 3 mm on a 3T MRI scanner. SMS factors 1, 2, 4, and 8 were used, spanning TRs of 2800 ms to 350 ms. Two data processing methods were used to equalize the number of samples over the SMS factors. BOLD sensitivity was assessed using g-factors maps, temporal SNR (tSNR), and t-score metrics. tSNR results show a dependence on SMS factor that is highly non-uniform over the brain, with outcomes driven by g-factor noise amplification and the presence of high frequency noise. The t-scoremetrics also show a high degree of spatial dependence: the lower g-factor noise area of V1 shows significant improvements at higher SMS factors; the moderate-level g-factor noise area of the parahippocampal place area shows only a trend of improvement; and the high g-factor noise area of the ventral-medial pre-frontal cortex shows a trend of declining t-scores at higher SMS factors. This spatial variability suggests that the optimal SMS factor for fMRI studies is region dependent. For task fMRI studies done with similar parameters as were used here (3T scanner, 32-channel RF head coil, whole brain coverage at 3 mm isotropic resolution), we recommend SMS accelerations of 4x (conservative) to 8x (aggressive) for most studies and a more conservative acceleration of 2x for studies interested in anterior midline regions.
引用
收藏
页数:14
相关论文
共 15 条
  • [1] Diffusion-weighted imaging with simultaneous multi-slice echo-planar technique for the diagnosis of breast magnetic resonance imaging
    Machida, Youichi
    Nomura, Kyoko
    Shimauchi, Akiko
    Kato, Yoshiaki
    Nagatsuka, Machiko
    Fukuma, Eisuke
    JAPANESE JOURNAL OF RADIOLOGY, 2020, 38 (04) : 358 - 364
  • [2] Diffusion-weighted imaging with simultaneous multi-slice echo-planar technique for the diagnosis of breast magnetic resonance imaging
    Youichi Machida
    Kyoko Nomura
    Akiko Shimauchi
    Yoshiaki Kato
    Machiko Nagatsuka
    Eisuke Fukuma
    Japanese Journal of Radiology, 2020, 38 : 358 - 364
  • [3] Dynamic 2D self-phase-map Nyquist ghost correction for simultaneous multi-slice echo planar imaging
    Yarach, Uten
    Tung, Yi-Hang
    Setsompop, Kawin
    In, Myung-Ho
    Chatnuntawech, Itthi
    Yakupov, Renat
    Godenschweger, Frank
    Speck, Oliver
    MAGNETIC RESONANCE IN MEDICINE, 2018, 80 (04) : 1577 - 1587
  • [4] Is simultaneous multi-slice readout-segmented echo-planar imaging valuable for predicting molecular subtypes of breast cancer?
    Li, Xue
    Zhu, Hong
    Sun, Kun
    Chai, Weimin
    Fu, Caixia
    Yan, Fuhua
    EUROPEAN JOURNAL OF RADIOLOGY, 2022, 150
  • [5] High-resolution functional MRI at 3 T: 3D/2D echo-planar imaging with optimized physiological noise correction
    Lutti, Antoine
    Thomas, David L.
    Hutton, Chloe
    Weiskopf, Nikolaus
    MAGNETIC RESONANCE IN MEDICINE, 2013, 69 (06) : 1657 - 1664
  • [6] Improved Spatiotemporal Resolution of Dynamic Susceptibility Contrast Perfusion MRI in Brain Tumors Using Simultaneous Multi-Slice Echo-Planar Imaging
    Chakhoyan, A.
    Leu, K.
    Pope, W. B.
    Cloughesy, T. F.
    Ellingson, B. M.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2018, 39 (01) : 43 - 45
  • [7] MR susceptibility contrast imaging using a 2D simultaneous multi-slice gradient-echo sequence at 7T
    Bian, Wei
    Kerr, Adam B.
    Tranvinh, Eric
    Parivash, Sherveen
    Zahneisen, Benjamin
    Han, May H.
    Lock, Christopher B.
    Goubran, Maged
    Zhu, Kongrong
    Rutt, Brian K.
    Zeineh, Michael M.
    PLOS ONE, 2019, 14 (07):
  • [8] Diffusion-weighted imaging of the head and neck: comparison between integrated slice-specific dynamic shimming and simultaneous multi-slice readout-segmented echo-planar sequences
    Su, Tong
    Zhu, Xiaoli
    Chen, Yu
    Xu, Zhentan
    Chen, Xingming
    Zhang, Tao
    Zhu, Jinxia
    Liu, Wei
    Wang, Xiaoye
    Zhang, Zhuhua
    Feng, Feng
    Jin, Zhengyu
    DENTOMAXILLOFACIAL RADIOLOGY, 2024, 54 (01) : 35 - 42
  • [9] Diagnostic value of multi-model high-resolution diffusion-weighted MR imaging in breast lesions: Based on simultaneous multi-slice readout-segmented echo-planar imaging
    Tang, Caili
    Qin, Yanjin
    Hu, Qilan
    Ai, Tao
    EUROPEAN JOURNAL OF RADIOLOGY, 2022, 154
  • [10] A simultaneous multi-slice T2 mapping framework based on overlapping-echo detachment planar imaging and deep learning reconstruction
    Li, Simin
    Wu, Jian
    Ma, Lingceng
    Cai, Shuhui
    Cai, Congbo
    MAGNETIC RESONANCE IN MEDICINE, 2022, 87 (05) : 2239 - 2253