Electrical and Computer Engineering

Electrical and Computer Engineering

Research Projects

Biomedical imaging and signal processing

Professor Philip Bones and Professor Rick Millane

In many non-invasive medical imaging techniques (e.g., magnetic resonance imaging, x-ray computed tomography, optical imaging, etc.), indirect measurements are made and sophisticated computational algorithms are used to form an image from these data. We are developing advanced image reconstruction algorithms to improve image quality, feature detection and classification, and computational speed. We use transform techniques, shape representation, statistical modeling, optimisation, and propagation models. Applications include fast algorithms for MRI, detecting and correcting for motion in MRI, reconstruction of x-ray CT images, and reconstruction methods in optical diffusion imaging. Our research in biomedical signal processing focuses on modelling and detection of events in physiological signals, and inverse solutions for biomedical fields. Applications include detection of drowsiness and location of electrical sources from EEGs.

Transverse MR images of the brain showing (left) the effect of motion and (right) after correction using the TRELLIS algorithm developed by former CIG student Julian Maclaren.

Sample publications:

Maclaren, J.R., Bones, P.J., Millane, R.P. and Watts, R. MRI with TRELLIS: A novel approach to motion correction. Magnetic Resonance Imaging, 26 (4), 2008: 474-483.

Wu, B., Millane, R.P., Watts, R. and Bones, P.J. Exploiting image sparsity in parallel magnetic resonance imaging (pMRI). Image Reconstruction from Incomplete Data V, Proceedings SPIE, 7076, 707603:1-11, 2008.

Butler, A., Bones, P. and Hurrell, M. Prototype system for enhancement of frontal chest radiographs using eigenimage processing. J. Medical Imaging and Radiation Oncology, 52 (3), 2008: 244-253.

Van Hese, P., Vanrumste, B., Hellez, H., Carroll, G.J., Vonck, K., Jones, R.D., Bones, P.J., D'Asseler, Y. and Lemahieu, I. Detection of focal epileptiform events in the EEG by spatio-temporal dipole clustering. Clinical Neurophysiology, 119, 2008: 1756-1770.

Peiris, M. T. R., Jones, R. D., Davidson, P. R., Carroll, G. J., & Bones, P. J. Frequent lapses of responsiveness during an extended visuomotor tracking task in non-sleep-deprived subjects. Journal of Sleep Research, 15, 2006: 291-300.