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The brain is one of the most complex and integrated organ in the human body which directs our muscle movements, our breathing and internal temperature, furthermore every imaginative sight, perception, and diagram are derived by the brain. The brain's neurons are effected by internal and external stimulations. Those stimulations might have positive and negative influence on brain activity and structure...
The relation between normal and pathological aging and the cerebrovascular component is still unclear. In this context, the common marmoset, which has the advantage of enabling longitudinal studies over a reasonable timeframe, appears as a good pre-clinical model. However, there is still a lack of quantitative information on the macrovascular structure of the marmoset brain. In this paper, we investigate...
This work presents two novel species-specific adaptations of a MRI based biomarker that indicates individual deviations from normal brain aging trajectories for rodents and non-human primates. By employing automatic, speciesspecific preprocessing of anatomical brain MRI as well as highdimensional pattern recognition methods, this approach uses the distribution of healthy brain-aging patterns to estimate...
Automatic segmentation in MR brain images is important for quantitative analysis in large-scale studies with images acquired at all ages. This paper presents a method for the automatic segmentation of MR brain images into a number of tissue classes using a convolutional neural network. To ensure that the method obtains accurate segmentation details as well as spatial consistency, the network uses...
The human brain atrophies with aging. By investigating the morphological change of brain structure and comparing with the deformation of normal aging, we can diagnose the cerebral diseases such as Alzheimer's diseases, Perkinson disease, etc. Magnetic resonance imaging (MRI) is a good diagnostic tool because it is non-invasive to the human body, and it can take the thin-sectional images with high...
Healthy aging is associated with a regionally spread network pattern of gray matter (GM) reductions on magnetic resonance imaging (MRI) that preferentially involves frontal and selected temporal brain regions. Down syndrome (DS) provides a model of abnormal aging in which there is increased beta amyloid deposition and risk for Alzheimer's dementia (AD) by the over expression of genes on triplicated...
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...
This paper presents a novel classification via aggregated regression algorithm - dubbed CAVIAR - and its application to the OASIS MRI brain image database. The CAVIAR algorithm simultaneously combines a set of weak learners based on the assumption that the weight combination for the final strong hypothesis in CAVIAR depends on both the weak learners and the training data. A regularization scheme using...
The efficiency of a new transit time (Δt) estimator (MSeg) for Pulse Wave Velocity (PWV) estimation is compared with three previously described methods (MUpslope, MFoot, MPoint), in terms of correlation with aging and reproducibility. SSFP and PC acquisitions from 40 subjects (42±15 year), recorded at the level of the aortic arch were studied. Δt was defined as the time shift between the flow curves...
Alzheimer's disease (AD) is the most common neurodegenerative disease in individuals older than 65 years of age. Nowadays, the imaging study of AD mostly focuses on morphologic measurement of the early predilection sites such as hippocampus. However, there is still lack of a specific parameter for early diagnosis. In this study, texture analysis was performed on MR images of three groups including...
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