Essays about: "Quantitative MRI"
Showing result 16 - 20 of 37 essays containing the words Quantitative MRI.
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16. Automatic Segmentation and Classification of Multiple Sclerosis Lesions Using Quantitative Magnetic Resonance Imaging
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : Multiple sclerosis is a neurological disease causing a degeneration of myelin around the axons in the central nervous system. This process leaves traces in the form of lesions, which can be distinguished in an MRI examination. It is important to detect these at an early stage to state diagnosis and initiate medication. READ MORE
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17. Assessment of Divergence Free Wavelet Transform Filtering of 4D flow MRI Data for Cardiovascular Applications
University essay from Linköpings universitet/Institutionen för medicin och hälsaAbstract : 4D flow MRI is an imaging technique able to provide relevant information on patients’ cardiac health condition both from a visual and a quantitative point of view. Its applicability is however limited by uncertainty in the data due to the presence of noise. A new class of filters, called divergence free filters, was recently proposed. READ MORE
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18. MULTI-CENTER QUANTITATIVE MEASUREMENT OF T1 ANDT2 RELAXATION TIMES IN THE RAT BRAIN
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : This project revolves around the measurement of T1 and T2 relaxation times in the ratbrain, in a multi-center way. That is to say, elaborate an efficient protocol to calculate highresolution 3D map of the brain. This protocol should be applied in different centers andreturn similar results. READ MORE
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19. “Do you want to take a short survey?” : Evaluating and improving the UX and VUI of a survey skill in the social robot Furhat: a qualitative case study
University essay from Linnéuniversitetet/Institutionen för informatik (IK)Abstract : The purpose of this qualitative case study is to evaluate an early stage survey skill developed for the social robot Furhat, and look into how the user experience (UX) and voice user interface (VUI) of that skill can be improved. Several qualitative methods have been used: expert evaluations using heuristics for human-robot interaction (HRI), user evaluations including observations and interviews, as well as a quantitative questionnaire (RoSAS – Robot Social Attribution Scale). READ MORE
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20. Generative Adversarial Networks for Image-to-Image Translation on Street View and MR Images
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : Generative Adversarial Networks (GANs) is a deep learning method that has been developed for synthesizing data. One application for which it can be used for is image-to-image translations. This could prove to be valuable when training deep neural networks for image classification tasks. READ MORE