Computer Science Department Events
There will be a Colloquium on Friday March 16th at 10:30 AM by Tuam D. Pham
FRIDAY MARCH 16 E&CS Building Auditorium 1st FloorTIME: 10:30 AMTITLE: The Hidden Markov BrainsSPEAKER: Tuan D. Pham
School of Engineering and Information Technology
The University of New South WalesAbstract:
This talk presents hidden Markov models (HMM) of the brain on MRI for theinference of white matter hyperintensities and brain age prediction. Rating andquantification of cerebral white matter hyperintensities on magnetic resonanceimaging are important tasks in various clinical and scientific settings. Wehave recently proposed that prior knowledge about white matter hyperintensitiescan be accumulated and utilised to enable a reliable inference of the rating ofa new white matter hyperintensity observation [1]. The use of HMM for ratinginference of white matter hyperintensities can be used as a computerizedrating-assisting tool and can be very economical for diagnostic evaluation ofbrain tissue lesions. We have also applied HMM for MRI-based brain ageprediction [2]. Cortical thinning and intracortical gray matter volume lossesare widely observed in normal ageing, while the decreasing rate of the volumeloss in subjects with neurodegenerative diseases such as Alzheimer's disease isreported to be faster than the average speed. Therefore, neurodegenerativedisease is considered as accelerated aging. Accurate detection of acceleratedageing of the brain is a relatively new direction of research in computationalneuroscience as it has the potential to offer positive clinical outcome throughearly intervention.
References:
[1] T.D. Pham, F. Salvetti, B. Wang, M. Diani, W. Heindel, S. Knecht, H.Wersching, B.T. Baune, K. Berger, The hidden-Markov brain: comparison andinference of white matter hyperintensities on magnetic resonance imaging (MRI),Journal of Neural Engineering, 8 (2011) 016004 .
[2] B. Wang, T.D. Pham, MRI-based age prediction using hidden Markov models, J.Neuroscience Methods, 199 (2011) 140
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