Search for dissertations about: "ct brain"
Showing result 1 - 5 of 74 swedish dissertations containing the words ct brain.
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1. Mild Traumatic Brain Injury : Studies on outcome and prognostic factors
Abstract : Objectives: To explore the prevalence and structure of self-reported disability after mild traumatic brain injury and the impact of traumatic brain pathology on such outcome.Material and methods: In study 1-3, symptoms data were collected by use of Rivermead Post-concussion Symptoms Questionnaire (RPQ) and data on global function by use of Glasgow Outcome Scale Extended (GOSE) from 2602 patients at 3 months after MTBI. READ MORE
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2. Human brain function evaluated with rCBF-SPECT : memory and pain related changes and new diagnostic possibilities in Alzheimer’s disease
Abstract : The aim of this doctoral thesis was to study the influence of memory, pain, age and education on the regional cerebral blood flow (rCBF), i.e. brain function, in early Alzheimer's disease (AD) and in chronic neck pain patients in comparison to healthy controls and in healthy elderly per se. READ MORE
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3. Deriving biomarkers from computed tomography using deep learning
Abstract : X-ray computed tomography (CT) and magnetic resonance imaging (MRI) are widely used structural neuroimaging modalities. For brain atrophy assessment and volumetric quantification using automated methods, MRI is the preferred modality due to its superior soft tissue contrast. READ MORE
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4. Severe traumatic brain injury : clinical course and prognostic factors
Abstract : Traumatic brain injury (TBI) constitutes a major health problem and is a leading cause of long-term disability and death. Patients with severe traumatic brain injury, S-TBI, comprise a heterogeneous group with varying complexity and prognosis. READ MORE
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5. Machine learning for identification of brain activity patterns with applications in gentle touch processing
Abstract : Since the first mention of artificial intelligence in the 1950s, the field of machine learning has provided increasingly appealing tools for recognition of otherwise unintelligible pattern representations in complex data structures. Human brain activity, acquired using functional magnetic resonance imaging (fMRI), is a prime example of such complex data where the utility of pattern recognition has been demonstrated in a wide range of studies recently (Haynes et al. READ MORE