Correlation of pre-operative cancer imaging techniques with post-operative gross and microscopic pathologic images

Research output: Contribution to conferencePoster

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Abstract

During this first year, different algorithms for volume reconstruction from tomographic slices have been tested. A tissue-mimicking phantom made with a mixture of agar and aluminium oxide was sliced at different thicknesses as per pathological standard guidelines. Phantom model was also virtually sliced and reconstructed in software. Results showed that shape-based spline interpolation method was the most precise, but generated a volume underestimation of 0.5%. Nearest neighbour interpolation produced the most accurate values.
Original languageEnglish
Number of pages1
Publication statusPublished - 23 Jun 2017
EventCentre for Doctoral Training in Applied Photonics Annual Conference 2017 - Heriot-Watt University, Edinburgh, United Kingdom
Duration: 23 Jun 201723 Jun 2017

Conference

ConferenceCentre for Doctoral Training in Applied Photonics Annual Conference 2017
CountryUnited Kingdom
CityEdinburgh
Period23/06/1723/06/17

Keywords

  • image processing
  • biomedical imaging
  • tomographic imaging
  • image registration

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    Reines March, G., Ju, X., & Marshall, S. (2017). Correlation of pre-operative cancer imaging techniques with post-operative gross and microscopic pathologic images. Poster session presented at Centre for Doctoral Training in Applied Photonics Annual Conference 2017, Edinburgh, United Kingdom.