Andrea Silveira de Souza

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The non-invasive in vivo nature of magnetic resonance imaging (MRI) makes it the modality of choice of many neuroanatomical imaging studies. This paper discusses automatic brain structure segmentation based on previous knowledge on statistical models. The method is validated by an experiment involving magnetic resonance images acquired from 20 healthy adult(More)
BACKGROUND/AIMS The diagnosis of mild or questionable Alzheimer's disease (AD) depends on clinical criteria that often leave a margin for doubt. We aim to verify the diagnostic accuracy of amnestic mild cognitive impairment (aMCI) and AD with proton spectroscopy (1H-MRS) combined with brief cognitive-functional scales. METHODS The relationship between(More)
As the world population has been growing old, the incidence of several brain diseases, including dementia, has risen. As a consequence, a greater demand for automated segmentation methods and volumetric analysis of the brain structure and its components has increased. This work is based on the use of image processing algorithms and previous knowledge(More)
Experimental studies in nonhuman primates have questioned the selectivity of pyramidal tract damage in giving rise to the classical pyramidal syndrome in humans, characterized by permanent spastic hemiplegia (PSH). According to this view, concomitant injury of extrapyramidal pathways is necessary for the development of both hemiplegia and spasticity. In(More)
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