publication . Other literature type . Article . 2014

Extracting and summarizing white matter hyperintensities using supervised segmentation methods in Alzheimer's disease risk and aging studies.

Barbara Bendlin;
Open Access English
  • Published: 07 Feb 2014
Abstract
Precise detection and quantification of white matter hyperintensities (WMH) observed in T2–weighted Fluid Attenuated Inversion Recovery (FLAIR) Magnetic Resonance Images (MRI) is of substantial interest in aging, and age related neurological disorders such as Alzheimer’s disease (AD). This is mainly because WMH may reflect comorbid neural injury or cerebral vascular disease burden. WMH in the older population may be small, diffuse and irregular in shape, and sufficiently heterogeneous within and across subjects. Here, we pose hyperintensity detection as a supervised inference problem and adapt two learning models, specifically, Support Vector Machines and Random...
Subjects
free text keywords: Article, Anatomy, Radiological and Ultrasound Technology, Radiology Nuclear Medicine and imaging, Neurology, Clinical Neurology
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