Voxel-wise functional connectomics using arterial spin labeling functional magnetic resonance imaging: The role of denoising

Journal article


Liang, Xiaoyun, Connelly, Alan and Calamante, Fernando. (2015). Voxel-wise functional connectomics using arterial spin labeling functional magnetic resonance imaging: The role of denoising. Brain Connectivity. 5(9), pp. 543 - 553. https://doi.org/10.1089/brain.2014.0290
AuthorsLiang, Xiaoyun, Connelly, Alan and Calamante, Fernando
Abstract

The objective of this study was to investigate voxel-wise functional connectomics using arterial spin labeling (ASL) functional magnetic resonance imaging (fMRI). Since ASL signal has an intrinsically low signal-to-noise ratio (SNR), the role of denoising is evaluated; in particular, a novel denoising method, dual-tree complex wavelet transform (DT-CWT) combined with the nonlocal means (NLM) algorithm is implemented and evaluated. Simulations were conducted to evaluate the performance of the proposed method in denoising images and in detecting functional networks from noisy data (including the accuracy and sensitivity of detection). In addition, denoising was applied to in vivo ASL datasets, followed by network analysis using graph theoretical approaches. Efficiencies cost was used to evaluate the performance of denoising in detecting functional networks from in vivo ASL fMRI data. Simulations showed that denoising is effective in detecting voxel-wise functional networks from low SNR data and/or from data with small total number of time points. The capability of denoised voxel-wise functional connectivity analysis was also demonstrated with in vivo data. We concluded that denoising is important for voxel-wise functional connectivity using ASL fMRI and that the proposed DT-CWT-NLM method should be a useful ASL preprocessing step.

Keywordsarterial spin labeling; denoising; dual-tree complex wavelet; network efficiency; nonlocal means; voxel-wise functional connectomics
Year2015
JournalBrain Connectivity
Journal citation5 (9), pp. 543 - 553
PublisherMary Ann Liebert, Inc. Publishers
ISSN2158-0014
Digital Object Identifier (DOI)https://doi.org/10.1089/brain.2014.0290
Scopus EID2-s2.0-84954358937
Page range543 - 553
Research GroupMary MacKillop Institute for Health Research
Publisher's version
File Access Level
Controlled
Place of publicationUnited States of America
Permalink -

https://acuresearchbank.acu.edu.au/item/89vy9/voxel-wise-functional-connectomics-using-arterial-spin-labeling-functional-magnetic-resonance-imaging-the-role-of-denoising

Restricted files

Publisher's version

  • 60
    total views
  • 0
    total downloads
  • 3
    views this month
  • 0
    downloads this month
These values are for the period from 19th October 2020, when this repository was created.

Export as

Related outputs

T1rho mapping cartilage and menisci in patients with hyperuricaemia at 3 T; a preliminary study
Zhu, J., Hu, N., Hou, J., Liang, X., Wang, Y., Zhang, H., Wang, P., Chen, T., Chen, W. and Wang, L.. (2021). T1rho mapping cartilage and menisci in patients with hyperuricaemia at 3 T; a preliminary study. Clinical Radiology. 76(9), pp. 710.e1-710.e8. https://doi.org/10.1016/j.crad.2021.04.007
OA Dhollander 2021 Fixel based Analysis of Diffusion MRI
Dhollander, Thijs, Clemente, Adam, Singh, Mervyn, Boonstra, Frederique, Civier, Oren, Duque, Juan Dominguez, Egorova, Natalia, Enticott, Peter, Fuelscher, Ian, Gajamange, Sanuji, Genc, Sila, Gottlieb, Elie, Hyde, Christian, Imms, Phoebe, Kelly, Claire, Kirkovski, Melissa, Kolbe, Scott, Liang, Xiaoyun, Malhotra, Atul, ... Caeyenberghs, Karen. (2021). OA Dhollander 2021 Fixel based Analysis of Diffusion MRI. NeuroImage. 241, p. Article: 118417. https://doi.org/10.1016/j.neuroimage.2021.118417
Mapping structural connectivity using diffusion MRI : Challenges and opportunities
Yeh, Chun-Hung, Jones, Derek K., Liang, Xiaoyun, Descoteaux, Maxime and Connelly, Alan. (2021). Mapping structural connectivity using diffusion MRI : Challenges and opportunities. Journal of Magnetic Resonance Imaging. 53(6), pp. 1666-1682. https://doi.org/10.1002/jmri.27188
Longtidunial fixed-based analysis reveals rstoration of white matter-alterations following balance training in young brain injured patients
Liang, Xiaoyun, Yeh, Chun-Hung, Domínguez D., Juan F., Poudel, Govinda, Swinnen, Stephan P. and Caeyenberghs, Karen. (2021). Longtidunial fixed-based analysis reveals rstoration of white matter-alterations following balance training in young brain injured patients. NeuroImage: Clinical. 30, p. 102621. https://doi.org/10.1016/j.nicl.2021.102621
Increased cerebral blood flow with increased amyloid burden in the preclinical phase of alzheimer's disease
Fazlollahi, Amir, Calamante, Fernando, Liang, Xiaoyun, Bourgeat, Pierrick, Raniga, Parnesh, Dore, Vincent, Fripp, Jurgen, Ames, David, Masters, Colin L., Rowe, Christopher C., Connelly, Alan, Villemagne, Victor L. and Salvado, Oliver. (2020). Increased cerebral blood flow with increased amyloid burden in the preclinical phase of alzheimer's disease. Journal of Magnetic Resonance Imaging. 51(2), pp. 505 - 513. https://doi.org/10.1002/jmri.26810
A novel method for extracting hierarchical functional subnetworks based on a multisubject spectral clustering approach
Liang, Xiaoyun, Yeh, Chun-Hung, Connelly, Alan and Calamante, Fernando. (2019). A novel method for extracting hierarchical functional subnetworks based on a multisubject spectral clustering approach. Brain Connectivity. 9(5), pp. 399 - 414. https://doi.org/10.1089/brain.2019.0668
T2 mapping of cartilage and menisci at 3T in healthy subjects with knee malalignment: Initial experience
Zhu, Jiangtao, Hu, Ningfan, Liang, Xiaoyun, Li, Xiaojing, Guan, Jian, Wang, Yajuan and Wang, Ligong. (2019). T2 mapping of cartilage and menisci at 3T in healthy subjects with knee malalignment: Initial experience. Skeletal Radiology. 48(5), pp. 753 - 763. https://doi.org/10.1007/s00256-019-3164-0
Robust identification of rich-club organization in weighted and dense structural connectomes
Liang, Xiaoyun, Yeh, Chun-Hung, Connelly, Alan and Calamante, Fernando. (2019). Robust identification of rich-club organization in weighted and dense structural connectomes. Brain Topography. 32, pp. 1 - 16. https://doi.org/10.1007/s10548-018-0661-8
A novel group-fused sparse partial correlation method for simultaneous estimation of functional networks in group comparison studies
Liang, Xiaoyun, Vaughan, David N., Connelly, Alan and Calamante, Fernando. (2018). A novel group-fused sparse partial correlation method for simultaneous estimation of functional networks in group comparison studies. Brain Topography. 31(3), pp. 364 - 379. https://doi.org/10.1007/s10548-017-0615-6
Track-weighted dynamic functional connectivity (TW-dFC): A new method to study time-resolved functional connectivity
Calamante, Fernando, Smith, Robert E., Liang, Xiaoyun, Zalesky, Andrew and Connelly, Alan. (2017). Track-weighted dynamic functional connectivity (TW-dFC): A new method to study time-resolved functional connectivity. Brain Structure and Function. 222(8), pp. 3761 - 3774. https://doi.org/10.1007/s00429-017-1431-1
Correction for diffusion MRI fibre tracking biases: The consequences for structural connectomic metrics
Yeh, Chun-Hung, Smith, Robert E., Liang, Xiaoyun, Calamante, Fernando and Connelly, Alan. (2016). Correction for diffusion MRI fibre tracking biases: The consequences for structural connectomic metrics. NeuroImage. 142, pp. 150 - 162. https://doi.org/10.1016/j.neuroimage.2016.05.047
A novel joint sparse partial correlation method for estimating group functional networks
Liang, Xiaoyun, Connelly, Allan and Calamante, Fernando. (2016). A novel joint sparse partial correlation method for estimating group functional networks. Human Brain Mapping. 37(3), pp. 1162 - 1177. https://doi.org/10.1002/hbm.23092
Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods
Fazlollahi, Amir, Bourgeat, Pierrick, Liang, Xiaoyun, Meriaudeau, Fabrice, Connelly, Alan, Salvado, Olivier and Calamante, Fernando. (2015). Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods. NeuroImage. 117, pp. 191 - 201. https://doi.org/10.1016/j.neuroimage.2015.05.048
A variable flip angle-based method for reducing blurring in 3D GRASE ASL
Liang, Xiaoyun, Connelly, Alan, Tournier, Jacques-Donald and Calamante, Fernando. (2014). A variable flip angle-based method for reducing blurring in 3D GRASE ASL. Physics in Medicine and Biology. 59(18), pp. 5559 - 5573. https://doi.org/10.1088/0031-9155/59/18/5559
Graph analysis of resting-state ASL perfusion MRI data: Nonlinear correlations among CBF and network metrics
Liang, Xiaoyun, Connelly, Alan and Calamante, Fernando. (2014). Graph analysis of resting-state ASL perfusion MRI data: Nonlinear correlations among CBF and network metrics. NeuroImage. 87, pp. 265 - 275. https://doi.org/10.1016/j.neuroimage.2013.11.013
Improved partial volume correction for single inversion time arterial spin labeling data
Liang, Xiaoyun, Connelly, Alan and Calamante, Fernando. (2013). Improved partial volume correction for single inversion time arterial spin labeling data. Magnetic Resonance in Medicine. 69(2), pp. 531-537. https://doi.org/10.1002/mrm.24279
A meta-analysis of randomized control trials of home-based secondary prevention programs for coronary artery disease
Clark, Alexander, Haykowsky, M, Kryworuchko, J, MacClure, T, Scott, Jess, DesMeules, M, Luo, W, Liang, Y and McAlister, F. (2010). A meta-analysis of randomized control trials of home-based secondary prevention programs for coronary artery disease. European Journal of Cardiovascular Prevention & Rehabilitation. 17(3), pp. 261 - 270. https://doi.org/10.1097/HJR.0b013e32833090ef
Effectiveness of cutaneous warming systems on temperature control : Meta-analysis
Galvuo, C, Liang, Y and Clark, Alexander. (2010). Effectiveness of cutaneous warming systems on temperature control : Meta-analysis. Journal of Advanced Nursing. 66(6), pp. 1196 - 1206. https://doi.org/10.1111/j.1365-2648.2010.05312.x