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Visar resultat 6 - 10 av 14 avhandlingar som matchar ovanstående sökkriterier.
6. MRI Contrast Enhancement and Cell Labeling using Gd2O3 Nanoparticles
Sammanfattning : There is an increasing interest for nanomaterials in bio-medical applications and in this work, nanoparticles of gadolinium oxide (Gd2O3 ) have been investigated as a novel contrast agent for magnetic resonance imaging (MRI). Relaxation properties have been studied in aqueous solutions as well as in cell culture medium and the nanoparticles have been explored as cell labeling agents. LÄS MER
7. Image Analysis for Trabecular Bone Properties on Cone-Beam CT Data
Sammanfattning : Trabecular bone structure as well as bone mineral density (BMD) have impact on the biomechanical competence of bone. In osteoporosis-related fractures, there have been shown to exist disconnections in the trabecular network as well as low bone mineral density. Imaging of bone parameters is therefore of importance in detecting osteoporosis. LÄS MER
8. Automatic image analysis for decision support in rheumatoid arthritis and osteoporosis
Sammanfattning : Low-energy trauma and fragility fractures represent a major public health problem. The societal cost of the fragility fractures that occurred in Sweden 2010 has been estimated at €4 billion.In rheumatoid arthritis (RA), patient outcomes have improved greatly in recent years. LÄS MER
9. Aspects on Image Quality in Radiologic Evaluation of the Urinary Tract
Sammanfattning : The focus of this document is on image quality as one of the factors fundamental for the diagnostic process. With the rising number of procedures and the trend towards more complicated examinations, urinary tract investigations was chosen in this work as a good clinical model for evaluation of the factors influencing image quality and of the ways of evaluating image quality. LÄS MER
10. Segmentation Methods for Medical Image Analysis : Blood vessels, multi-scale filtering and level set methods
Sammanfattning : Image segmentation is the problem of partitioning an image into meaningful parts, often consisting of an object and background. As an important part of many imaging applications, e.g. face recognition, tracking of moving cars and people etc, it is of general interest to design robust and fast segmentation algorithms. LÄS MER