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Publication Detail
Volumetric high-resolution X-ray phase-contrast virtual histology of breast specimens with a compact laboratory system
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Article
  • Authors:
    Massimi L, Suaris T, Hagen CK, Endrizzi M, Munro PRT, Havariyoun G, Hawker PMS, Smit B, Astolfo A, Larkin OJ, Waltham RM, Shah Z, Duffy SW, Nelan RL, Peel A, Louise Jones J, Haig IG, Bate D, Olivo A
  • Publication date:
    2022
  • Journal:
    IEEE Transactions on Medical Imaging
  • Status:
    Published
  • Print ISSN:
    0278-0062
Abstract
The assessment of margin involvement is a fundamental task in breast conserving surgery to prevent recurrences and reoperations. It is usually performed through histology, which makes the process time consuming and can prevent the complete volumetric analysis of large specimens. X-ray phase contrast tomography combines high resolution, sufficient penetration depth and high soft tissue contrast, and can therefore provide a potential solution to this problem. In this work, we used a high-resolution implementation of the edge illumination X-ray phase contrast tomography based on "pixel-skipping" X-ray masks and sample dithering, to provide high definition virtual slices of breast specimens. The scanner was originally designed for intra-operative applications in which short scanning times were prioritised over spatial resolution; however, thanks to the versatility of edge illumination, high-resolution capabilities can be obtained with the same system simply by swapping x-ray masks without this imposing a reduction in the available field of view. This makes possible an improved visibility of fine tissue strands, enabling a direct comparison of selected CT slices with histology, and providing a tool to identify suspect features in large specimens before slicing. Combined with our previous results on fast specimen scanning, this works paves the way for the design of a multi-resolution EI scanner providing intra-operative capabilities as well as serving as a digital pathology system.
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Dept of Med Phys & Biomedical Eng
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Dept of Med Phys & Biomedical Eng
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