Search for dissertations about: "functional computer tomography"
Showing result 1 - 5 of 9 swedish dissertations containing the words functional computer tomography.
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1. On large-scale neural simulations and applications in neuroinformatics
Abstract : This thesis consists of three parts related to the in silico study of the brain: technologies for large-scale neural simulations, neural algorithms and models and applications in large-scale data analysis in neuroinformatics. All parts rely on the use of supercomputers. READ MORE
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2. Segmentation and Visualisation of Human Brain Structures
Abstract : In this thesis the focus is mainly on the development of segmentation techniques for human brain structures and of the visualisation of such structures. The images of the brain are both anatomical images (magnet resonance imaging (MRI) and autoradigraphy) and functional images that show blood flow (functional magnetic imaging (fMRI), positron emission tomography (PET), and single photon emission tomograpy (SPECT)). READ MORE
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3. From Industry to Practice: Can Users Tackle Domain Tasks with Augmented Reality?
Abstract : Augmented Reality (AR) is a cutting-edge interactive technology. While Virtual Reality (VR) is based on completely virtual and immersive environments, AR superimposes virtual objects onto the real world. READ MORE
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4. Novel Approaches for Application of Principal Component Analysis on Dynamic PET Images for Improvement of Image Quality and Clinical Diagnosis
Abstract : Positron Emission Tomography, PET, can be used for dynamic studies in humans. In such studies a selected part of the body, often the whole brain, is imaged repeatedly after administration of a radiolabelled tracer. READ MORE
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5. Monitoring cystic fibrosis lung disease in children - Clinical utility and associations between functional and structural methods
Abstract : Background: Cystic Fibrosis (CF) is an inherited progressive disease that causes severe damage to the airways and other organs of the body. Many methods are available to track CF lung disease but longitudinal data are needed to better understand the clinical utility and associations between different methods. READ MORE