Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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693.932 PEOPLE
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University of Strathclyde

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2024CNN-based automated approach to crack-feature detection in steam cycle components4citations
  • 2023Tactile, orientation, and optical sensor fusion for tactile breast image mosaicking8citations
  • 2017An expert-systems approach to automatically determining flaw depth within candu pressure tubescitations
  • 2015Automated image stitching for fuel channel inspection of AGR corescitations
  • 2013Automated image stitching for enhanced visual inspections of nuclear power stationscitations
  • 2007An automated intelligent analysis system for analysing reactor refuelling eventscitations

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Chart of shared publication
Dobie, Gordon
3 / 21 shared
Murray, Paul
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Fei, Zhouxiang
1 / 1 shared
Hampson, Rory
1 / 1 shared
Lardner, T.
1 / 1 shared
Gachagan, Anthony
1 / 76 shared
Lynch, Chris
1 / 1 shared
Mcarthur, Stephen
3 / 6 shared
Marshall, Stephen
2 / 12 shared
Mcdonald, James
1 / 3 shared
Towle, Dave
1 / 1 shared
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Co-Authors (by relevance)

  • Dobie, Gordon
  • Murray, Paul
  • Fei, Zhouxiang
  • Hampson, Rory
  • Lardner, T.
  • Gachagan, Anthony
  • Lynch, Chris
  • Mcarthur, Stephen
  • Marshall, Stephen
  • Mcdonald, James
  • Towle, Dave
OrganizationsLocationPeople

article

Tactile, orientation, and optical sensor fusion for tactile breast image mosaicking

  • Hampson, Rory
  • Dobie, Gordon
  • West, Graeme
Abstract

Breast cancer screening using Tactile Imaging (TI) is an advancing field of low-cost non-invasive medical imaging. Utilizing arrays of capacitive pressure transducers to perform a differential stress measurement of suspicious tissue, TI has been shown to be effective in measuring lesion size and stiffness, and subsequent differentiation of malignant and benign conditions, in repeated clinical studies. In order to further improve the lesion classification accuracy of clinical TI, this paper presents a novel method of mosaicking tactile images to form a large composite tactile map using the vein structure within the breast to spatially register tactile data. This paper demonstrates practical non-rigid tactile image mosaicking, using probe contact force and relative orientation sensor fusion to correct for the tissue deformation during tactile scanning, miniaturized and applied to a pre-clinical TI prototype. Testing of the proposed TI prototype on representative, tissue-mimicking, silicone breast phantoms, with varying baseline elasticity and internal vein structure, yields typical image registration accuracies of 0.33% ± 0.15%. In similar testing, the proposed system measures the background elasticity of the samples with worst case error < 4.5% over the range 9 kPa to 60 kPa, required for accurate lesion characterization. This work will lead into further clinical validation of TI for measurement and classification of in-situ phantom and breast lesions, utilizing the delivered metrics from this work to improve differentiation accuracy.

Topics
  • impedance spectroscopy
  • composite
  • elasticity