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Ting MA

Member of IEEE
Professor, Department of Electronics & Information Engineering, Harbin Institute of Technology at Shenzhen

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Image-based cerebral small vascular disease model in Alzheimer’s patients


Increasing evidence recognizes Alzheimer’s disease (AD) as a multifactorial and heterogeneous disease with multiple contributors to its pathophysiology, including cerebral vascular dysfunction. Regional burden of white matter hyperintensities (WMHs) with presumed vascular origin, are typical image markers of cerebral small vessel disease (CSVD). The knowledge of white matter anatomy facilitates lesion-symptom mapping associated with cognition, and provides important spatial information for lesion segmentation algorithms. We proposed an atlas-guided computation framework to assess disconnectome pattern caused by WMHs. First, an anatomical knowledge-based MRI deep learning pipeline (AU-Net) were constructed to simultaneously segment and locate WMHs. Then, we used atlas-guided indirect mapping to compute parcel-wise brain disconnectome, where spatiotemporal progression patterns were discovered and evaluate. The results shows that our computing framework can 1) segment and locate WMHs reliably with higher accuracy, 2) visualize the brain disconnectome spatiotemporal progression with AD development. All these image markers show evidence of AD associated with CSVD, which also are promising for pre-clinical AD screening in early stage.


Professor Ting MA (Member, IEEE) received the B.Eng. and M.Sc. degrees from the Harbin Institute of Technology, Harbin, China, in 1999 and 2001, respectively, and the Ph.D. degree in biomedical engineering from the Chinese University of Hong Kong (CUHK), Hong Kong, in 2004.,From 2004 to 2009, she was a Postdoctoral Fellow with CUHK. From 2014 to 2016, she was a Visiting Professor with Johns Hopkins University, Baltimore, MD, USA. Since June 2009, she has been with the School of Electronics and Information Engineering, Harbin Institute of Technology, Shenzhen, China, where she is currently an Associate Professor. Her research interests include neural computing, neural image processing, and brain informatics.
Professor Ting MA’s research interest focuses on neuroinformatics, including neural image computing, brain-computer-interface, and related translational research in neural diseases.

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