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A method of Visual Scene Preparation for the patients suffering Retinitis Pigmentosa is implemented in hardware for the first time. The scene is captured with two cameras, one visible spectrum and one infra-red, in order to distinguish between the live and non-live objects. The live objects are subsequently emphasized in the output image, thus helping a patient to see the most significant detail with...
Coronary heart disease (CHD) is the leading cause of death worldwide. Cardiac magnetic resonance imaging (MRI) is a valuable imaging modality, as it can noninvasively provide information about myocardial function, viability, and morphology. Viability delayed-enhancement (DE) images are acquired at a single timeframe while myocardial functional (tagged) images are acquired as a cine loop of timeframes...
Tagging Magnetic Resonance Imaging (MRI) sequence is used for evaluating Left Ventricular contractility. In this technique, a pattern of spatially varying magnetism is applied at the end diastole. Analyzing the deformation of tag pattern during the cardiac cycle has wide applications for cardiac deformation analysis. Noninvasive myocardial tagging in MRI has shown great potential in measuring and...
Retinal prostheses are moving towards providing a return to some functional vision for those with the Retinitis Pigmentosa disease. Optoelectronic/optogenetic retinal prosthesis holds particular promise. As the various techniques are unlikely to return perfect vision in the first instance, we need to explore how best to present the visual scene. The key task is to restore mobility and scene recognition...
The field of retinal prosthesis has been steadily developing over the last two decades. Despite the many obstacles, clinical trials for electronic approaches are in progress and already demonstrating some success. Optogenetic/optoelectronic retinal prosthesis may prove to have even greater capabilities. Although resolutions are now moving beyond recognition of simple shapes, it will nevertheless be...
Optogenetic retinal prosthesis is promising a new technique aiming to restore vision to those with disorders of the retina. However, to restore mobility and scene recognition to the patients, the transferred visual information to these patients should be optimized. In this paper we present a processing scheme to simplify and spatially compress the visual scene prior to transfer to the retina prosthesis.
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