Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.652604
Title: Measurement and validation in arterial mechanics for clinical diagnosis
Author: Hoskins, P. R.
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 2009
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Abstract:
The theme of the thesis is ‘arterial mechanics’ incorporating blood flow, wall dynamics and wall stress. The underpinning aim has been the development and assessment of techniques for use in clinical diagnosis. These techniques include peak systolic velocity within arterial stenosis for estimation of the degree of stenosis; mean velocity for assessment of volumetric flow; wall stress for prediction of disease development and rupture; and elastic modulus for prediction of disease development and rupture. The thesis is divided into 3 themes; ‘development of phantoms’, ‘velocity measurement’ and ‘wall dynamics and stress measurement’. The author developed ‘phantom’ based methods for simulation of flow and wall motion, principally the flow phantom, but also string and electronic injection phantoms. The author evaluated the magnitude and origin of velocity measurement errors in clinical ultrasound systems. The author developed and was involved in clinical evaluation of simplified methods for estimation of wall shear stress and of arterial elasticity. Concluding the thesis as a while; for the measurement of quantities relevant to arterial mechanics for clinical diagnosis, care and attention must be paid in the development of measurement methods with high accuracy, properly validated using an appropriate tissue-mimicking phantom. There is an ongoing clinical problem on velocity measurement for degree of stenosis with no apparent intention to resolve this on the part of manufacturers. Simplified imaging-based measurement methods, of volumetric flow, wall shear stress and arterial elasticity, may have clinical roles where the model assumptions can be justified, which is principally in healthy arteries and early disease. In advanced disease, where there is complex 3D geometry and anisotropy, estimation of flow field data, wall stresses and elasticity should be performed using image guided modelling.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (D.Sc.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.652604  DOI: Not available
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