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This paper presents a study that performs a statistical analysis of signal intensities of the cartilage using magnetic resonance images. The aim of the study is to investigate whether it is possible to differentiate cartilage that is normal and cartilage that has damage/lesions in a quantitative manner. Because damaged cartilage tends to have abnormally high signal intensities than that of normal...
In the context of cardiac viability assessment, we propose a new fully automatic method to segment and quantify myocardial pathological tissues in Late Enhancement Cardiac Magnetic Resonance images. Our two main contributions are a generic image intensity analysis and an original variational segmentation method, the Fast Region Competition. The obtained results are robust to anatomical variability...
Oedema is fluid retention within the myocardial tissue due to damage tissue causing swelling in the affected area after myocardial infarction (MI). Quantification of oedema area after an MI is an important step in medical prognosis to differentiate between viable and death myocardial tissue. In this paper a novel technique of Hybrid Thresholding Oedema Sizing Algorithm (HTOSA) is presented. To quantify...
Ventricular wall thickness and thickening are important biomarkers that are informative about myocardial function, especially for patients suffering from acute myocardial infarction (AMI) and hypertrophic cardiomyopathy (HCM). In this paper, the medial modeling is applied to produce thickness and thickening maps on skeleton meshes, on which surface-based statistical analysis can be directly performed...
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