Journal article

Multi-stage segmentation of white matter hyperintensity, cortical and lacunar infarcts.

Yanbo Wang, Joseree Ann Catindig, Saima Hilal, Hock Wei Soon, Eric Ting, Tien Yin Wong, Narayanaswamy Venketasubramanian, Christopher Chen, Anqi Qiu

Neuroimage | Published : 2012


Cerebral abnormalities such as white matter hyperintensity (WMH), cortical infarct (CI), and lacunar infarct (LI) are of clinical importance and frequently present in patients with stroke and dementia. Up to date, there are limited algorithms available to automatically delineate these cerebral abnormalities partially due to their complex appearance in MR images. In this paper, we describe an automated multi-stage segmentation approach for labeling the WMH, CI, and LI using multi-modal MR images. We first automatically segment brain tissues (white matter, gray matter, and CSF) based on the T1-weighted image and then identify hyperintense voxels based on the fluid attenuated inversion recovery..

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