Browsing by Author "Spottiswoode, Bruce Shawn"

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    FMRI guided DTI at the grey-white matter interface : with application to a connectivity analysis of the default mode network in Urbach-Wiethe disease
    (2011) Baasch, Roland; Spottiswoode, Bruce Shawn; Morgan, Barak Eli
    The cerebral cortex is composed of a thin layer of Grey Matter (GM), functionally subdivided into discrete regions which are connected in a large scale network via White Matter (WM) tracts. With fMRI (Functional Magnetic Resonance Imaging) it is possible to identify cortical regions involved in specific tasks, and with DTI (Diffusion Tensor Imaging) the structural connections between these areas can be mapped. The aim of this thesis is to to identify and track only those WM tracts entering and leaving a GM Region Of Interest (ROI) defined by fMRI.
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    Imaging displacement and strain in the medial gastrocnemius muscle during ankle-joint motion using 2D-ciné DENSE MRI
    (2011) Lawson, Andrew James; Beningfield, Stephen J; Spottiswoode, Bruce Shawn
    Skeletal muscle structure has been defined on both macro and microscopic levels by gross dissection, light- and electron-microscopy. The basic physiological building blocks involve the electromechanical coupling between interlinking actin and myosin fibres. Detailed intramuscular behaviour during contraction can be clearly defined when examining a single isolated muscle. However, there are few areas in the human body where single muscles act independently to affect motion. This thesis attempts to address the compounded effect that muscles have on each other, while working synergistically in a group, such as the calf muscle.
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    Towards automating cine DENSE MRI image analysis : segmentation, tissue tracking and strain computation
    (2006) Spottiswoode, Bruce Shawn; Meintjes, Ernesta; Mayosi, Bongani
    Over the past two decades, magnetic resonance imaging (MRI) has developed into a powerful imaging tool for the heart. Imaging cardiac morphology is now commonplace in clinical practice, and a plethora of quantitative techniques have also arisen on the research front. Myocardial tagging is an established quantitative cardiac MRI method that involves magnetically tagging the heart with a set of saturated bands, and monitoring the deformation of these bands as the heart contracts.