Biomedical Signal and Image Computing Laboratory

fMRI Spatiotemporal Analysis

People

Bernard Ng (Grad Student)
BiSICL, Department of Electrical and Computer Engineering, UBC

Rafeef Abugharbieh (Principal Investigator)
BiSICL, Department of Electrical and Computer Engineering, UBC

Martin McKeown (Collaborator)
Department of Medicine, UBC

Keywords

fMRI, regions of interest, spatiotemporal analysis, Parkinson’s disease

Description

fMRI has become the dominant imaging modality for studying human brain function non-invasively. Most fMRI studies have focused on inferring changes in brain activity from fMRI signal intensity modulations. Here at BiSICL, we are extending traditional fMRI analysis methods by designing new robust spatial descriptors to characterize brain activation pattern in areas implicated in neurodegenerative diseases such as PD. In particular, we are exploring the use of invariant spatial features to examine the spatiotemporal properties of activation within various brain regions of interest (ROIs).

Global characteristics of regional activity captured using statistical spatial features for inferring brain activation.

Selected Publications

  • B. Ng, R. Abugharbieh, X. Huang, and M.J. McKeown, “Spatial Characterization of fMRI Activation Maps Using Invariant 3D Moment Descriptors,” IEEE Trans. Med. Imaging, vol. 28, no. 2, pp. 261-268, 2009 [PDF].
  • B. Ng, R. Abugharbieh, and M.J. McKeown, “Detecting Maximal Directional Changes in Spatial fMRI Response Using Canonical Correlation Analysis,” in Proc. Int. Symposium Biomed. Imaging, pp. 650-653, 2009 [PDF].
  • B. Ng, S.J. Palmer, R. Abugharbieh, M.J. McKeown, “Focusing Effects of L-dopa in Parkinson’s Disease,” Hum. Brain Mapp., vol. 31, no. 1, pp. 88-97, 2009 [PDF].
  • S.J. Palmer, B. Ng, R. Abugharbieh, L. Eigenraam, and M.J. McKeown, “Motor Reserve and Novel Area Recruitment: Amplitude and Spatial Characteristics of Compensation in Parkinson’s Disease,” Eur. J. Neurosci., vol. 29, no. 11, pp. 2187-2196, 2009 [PDF].
  • B. Ng, R. Abugharbieh, and M.J. McKeown, “Adverse Effects of Template-based Warping on Spatial fMRI Analysis,” in Proc. SPIE Med. Imaging, vol. 7262, pp. 72621Y (12 pages), 2009 [PDF].
  • B. Ng, R. Abugharbieh, and M.J. McKeown, “Enhanced fMRI Response Detection and Reduced Latency through Spatial Analysis of BOLD Signals,” in Proc. MICCAI Workshop on Analysis of Functional Medical Images, pp. 81-88, 2008 [PDF].
  • B. Ng, R. Abugharbieh, and M.J. McKeown, “Enhanced fMRI Response Detection and Reduced Latency through Spatial Analysis of BOLD Signals,” in Proc. MICCAI Workshop on Analysis of Functional Medical Images, pp. 81-88, 2008 [PDF].
  • B. Ng, R. Abugharbieh, S.J. Palmer, and M.J. McKeown, “Characterizing Task-Related Temporal Dynamics of Spatial Activation Distributions in fMRI BOLD Signals,” in Proc. Med. Image Comput. Comput. Assist. Interv., vol. 4791, pp. 767-774, 2007 [PDF].
  • B. Ng, R. Abugharbieh, S.J. Palmer, and M.J. McKeown, “Joint Spatial Denoising and Active Region of Interest Delineation in Functional Magnetic Resonance Imaging,” in Proc. Int. Conf. Eng. Med. Biol. Soc., pp. 3404-3407, 2007 [PDF].
  • B. Ng, R. Abugharbieh, X.M. Huang, and M.J. McKeown, “Characterizing fMRI Activations within Regions of Interest (ROIs) Using 3D Moment Invariants,” in Proc. CVPR Workshop on Math. Methods Biomed. Image Analysis, pp. 63, 2006 [PDF].

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