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Populations of healthy older individuals are often highly heterogeneous, as prevalence of various underlying pathologies increases with age. Finding coherent groups of normal older adults may allow to identify subpopulations that are at risk of developing Alzheimer's disease (AD). In this paper, we propose an approach that utilizes longitudinal magnetic resonance imaging (MRI) data to obtain natural...
Based on MRI technology, a series of 2D images of human head was obtained. Their boundary coordinates were extracted respectively, and a hierarchical 3D head parameterized model was constructed by fitting contours of all sections with Fourier series. Several feature sections were defined according to main features of human face. Average processing was taken to several samples based on the principle...
Computer assisted medical image processing can extract vital information that may be elusive to human eyes. In this paper, an algorithm is proposed to automatically estimate the position of the actual midline from the brain CT scans using multiple regions shape matching. The method matches feature points identified from a set of ventricle templates, extracted from MRI, with the corresponding feature...
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