Search for dissertations about: "image improvement"
Showing result 1 - 5 of 498 swedish dissertations containing the words image improvement.
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1. Patient and public involvement in hospital quality improvement interventions : the mechanisms, monitoring and management
Abstract : This dissertation focuses on the mechanisms, monitoring and management of patient and public involvement in hospital quality improvement (QI) interventions. Findings from a literature review generated an initial programme theory (PT) on active patient involvement in healthcare QI interventions (Paper 1). READ MORE
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2. Robust Image Registration for Improved Clinical Efficiency : Using Local Structure Analysis and Model-Based Processing
Abstract : Medical imaging plays an increasingly important role in modern healthcare. In medical imaging, it is often relevant to relate different images to each other, something which can prove challenging, since there rarely exists a pre-defined mapping between the pixels in different images. READ MORE
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3. Magnetic Resonance Imaging of the Heart : Image quality, measurement accuracy and patient experience
Abstract : Background: Non-invasive diagnostic imaging of atherosclerotic coronary artery disease (CAD) is frequently carried out with cardiovascular magnetic resonance imaging (CMR) or myocardial perfusion single photon emission computed tomography (MPS). CMR is the gold standard for the evaluation of scar after myocardial infarction and MPS the clinical gold standard for ischemia. READ MORE
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4. Co-producing healthcare quality improvement : the prerequisites for, the value of and the lessons from co-production in a Swedish cardiac care setting
Abstract : Background: The promotion of the best possible health and care is challenging to healthcare organizations worldwide. Healthcare organizations’ capability to improve the quality of care is therefore crucial to the sustainability of the welfare state. READ MORE
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5. Methods for Processing and Analysis of Biomedical TEM Images
Abstract : Transmission Electron Microscopy (TEM) has the high resolving capability and high clinical significance; however, the current manual diagnostic procedure using TEM is complicated and time-consuming, requiring rarely available expertise for analyzing TEM images of the biological specimen. This thesis addresses the bottlenecks of TEM-based analysis by proposing image analysis methods to automate and improve critical time-consuming steps of currently manual diagnostic procedures. READ MORE