Quantitative imaging with mechanical waves

Quantitative imaging complements structural imaging by providing quantitative estimations of subsurface material properties as opposed to the sizes, shapes and positions of scatterers available from structural methods. The ability to reconstruct material properties from a series of wave measurements...

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Main Author: Huthwaite, Peter Edward
Other Authors: Lowe, Michael ; Simonetti, Francesco
Published: Imperial College London 2012
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556565
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spelling ndltd-bl.uk-oai-ethos.bl.uk-5565652017-08-30T03:17:24ZQuantitative imaging with mechanical wavesHuthwaite, Peter EdwardLowe, Michael ; Simonetti, Francesco2012Quantitative imaging complements structural imaging by providing quantitative estimations of subsurface material properties as opposed to the sizes, shapes and positions of scatterers available from structural methods. The ability to reconstruct material properties from a series of wave measurements is extremely valuable in a range of applications as it potentially allows diagnostic technology with superior sensitivity and selectivity. Breast cancer, for example, is stiffer and hence of higher sound velocity than the surrounding tissue, so reconstructing velocity from ultrasonic measurements could allow cancer detection. Using this concept, breast ultrasound tomography has the potential to significantly improve the cost, safety and reliability of breast cancer screening and diagnosis over mammography, the gold-standard. Key to unlocking this potential is the availability of an accurate, fast, robust and high-resolution algorithm to reconstruct wave velocity. This thesis introduces HARBUT, the Hybrid Algorithm for Robust Breast Ultrasound Tomography, a new imaging approach combining the complementary strengths of low resolution bent-ray tomography and high resolution diffraction tomography. HARBUT's theoretical foundation is explained and applied to simulated and experimental, in-vivo, breast ultrasound tomography data, confirming that it generates a step change in image quality over existing techniques, revealing lesions that would not be visible on a mammogram. This thesis also shows how, by combining data from many slices, the out-of-plane resolution can be significantly improved compared to treating each slice independently. HARBUT is applied to alternative problems including guided wave tomography, which aims to quantify the remaining wall thickness of a potentially corroded, inaccessible plate-like structure. Thickness estimates within 1mm for a 10mm nominal thickness plate were demonstrated for both simulated and experimental data. The thesis finally investigates HARBUT's performance with limited view configurations, and introduces VISCIT, the Virtual Image Space Component Iterative Technique, which accounts for the missing data, significantly improving the reconstructed image.531.1133Imperial College Londonhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556565http://hdl.handle.net/10044/1/9765Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 531.1133
spellingShingle 531.1133
Huthwaite, Peter Edward
Quantitative imaging with mechanical waves
description Quantitative imaging complements structural imaging by providing quantitative estimations of subsurface material properties as opposed to the sizes, shapes and positions of scatterers available from structural methods. The ability to reconstruct material properties from a series of wave measurements is extremely valuable in a range of applications as it potentially allows diagnostic technology with superior sensitivity and selectivity. Breast cancer, for example, is stiffer and hence of higher sound velocity than the surrounding tissue, so reconstructing velocity from ultrasonic measurements could allow cancer detection. Using this concept, breast ultrasound tomography has the potential to significantly improve the cost, safety and reliability of breast cancer screening and diagnosis over mammography, the gold-standard. Key to unlocking this potential is the availability of an accurate, fast, robust and high-resolution algorithm to reconstruct wave velocity. This thesis introduces HARBUT, the Hybrid Algorithm for Robust Breast Ultrasound Tomography, a new imaging approach combining the complementary strengths of low resolution bent-ray tomography and high resolution diffraction tomography. HARBUT's theoretical foundation is explained and applied to simulated and experimental, in-vivo, breast ultrasound tomography data, confirming that it generates a step change in image quality over existing techniques, revealing lesions that would not be visible on a mammogram. This thesis also shows how, by combining data from many slices, the out-of-plane resolution can be significantly improved compared to treating each slice independently. HARBUT is applied to alternative problems including guided wave tomography, which aims to quantify the remaining wall thickness of a potentially corroded, inaccessible plate-like structure. Thickness estimates within 1mm for a 10mm nominal thickness plate were demonstrated for both simulated and experimental data. The thesis finally investigates HARBUT's performance with limited view configurations, and introduces VISCIT, the Virtual Image Space Component Iterative Technique, which accounts for the missing data, significantly improving the reconstructed image.
author2 Lowe, Michael ; Simonetti, Francesco
author_facet Lowe, Michael ; Simonetti, Francesco
Huthwaite, Peter Edward
author Huthwaite, Peter Edward
author_sort Huthwaite, Peter Edward
title Quantitative imaging with mechanical waves
title_short Quantitative imaging with mechanical waves
title_full Quantitative imaging with mechanical waves
title_fullStr Quantitative imaging with mechanical waves
title_full_unstemmed Quantitative imaging with mechanical waves
title_sort quantitative imaging with mechanical waves
publisher Imperial College London
publishDate 2012
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556565
work_keys_str_mv AT huthwaitepeteredward quantitativeimagingwithmechanicalwaves
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