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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...
In this study we propose a pipeline for simulation of late gadolinium enhancement images. We used a modified version of the XCAT phantom to improve simulation realism. Modifications included the modeling of trabeculae and papillary muscles, and the increase of sublabels to resemble tissue intensity variability. Magnetic properties for each body tissue were sampled in three settings: from Gaussian...
To recover physiologically meaningful cardiac deformation from medical images, realistic physiological models are essential to constrain the recovery process, and a statistical filtering framework is required to couple the models and images according to their respective uncertainties. As realistic cardiac models are usually nonlinear, existing cardiac deformation recovery frameworks either ignore...
An approach for eliminating the cardiac pulsation (ballistocardiogram, BCG) effect from electroencephalograms (EEG) is proposed. The artifact results from functional magnetic resonance imaging (fMRI) scanner during simultaneous EEG-fMRI recordings. The BCG artifact exhibits similar periodic physiological structure. The proposed blind source extraction (BSE) algorithm employs second order statistics...
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...
The objective of this work is to compare the results obtained from the motion analysis of tagged vs. CINE MR sequences when using spatio-temporal non-rigid registration techniques based on pixel intensity. Those techniques have been previously validated on tagged MR images. Moreover, registration algorithms have been applied to MR CINE sequences to obtain radial displacement and strain parameters...
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