We have developed a computerized evaluation method of white matter hyperintensity (WMH) regions for the diagnosis
of vascular dementia (VaD) based on magnetic resonance (MR) images, and implemented the proposed method as a
graphical interface program. The WMH regions were segmented using either a region growing technique or a level set
method, one of which was selected by using a support vector machine. We applied the proposed method to MR images
acquired from 10 patients with a diagnosis of VaD. The mean similarity index between WMH regions determined by a
manual method and the proposed method was 78.2±11.0%. The proposed method could effectively assist
neuroradiologists in evaluating WMH regions.
Arterial spin labeling (ASL) is one of promising non-invasive magnetic resonance (MR) imaging techniques for
diagnosis of Alzheimer's disease (AD) by measuring cerebral blood flow (CBF). The aim of this study was to develop
a computer-aided classification system for AD patients based on CBFs measured by the ASL technique. The average
CBFs in cortical regions were determined as functional image features based on the CBF map image, which was
non-linearly transformed to a Talairach brain atlas by using a free-form deformation. An artificial neural network
(ANN) was trained with the CBF functional features in 10 cortical regions, and was employed for distinguishing patients
with AD from control subjects. For evaluation of the method, we applied the proposed method to 20 cases including
ten AD patients and ten control subjects, who were scanned a 3.0-Tesla MR unit. As a result, the area under the
receiver operating characteristic curve obtained by the proposed method was 0.893 based on a leave-one-out-by-case test
in identification of AD cases among 20 cases. The proposed method would be feasible for classification of patients
with AD.
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