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

Research output: Contribution to conferencePoster

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.

Conference

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

Fingerprint

Interpolation
Imaging techniques
Aluminum Oxide
Splines
Agar
Tissue
Aluminum
Oxides

Keywords

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

Cite this

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.
Reines March, G. ; Ju, X. ; Marshall, S. / 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.1 p.
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title = "Correlation of pre-operative cancer imaging techniques with post-operative gross and microscopic pathologic images",
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.",
keywords = "image processing, biomedical imaging, tomographic imaging, image registration",
author = "{Reines March}, G. and X. Ju and S. Marshall",
year = "2017",
month = "6",
day = "23",
language = "English",
note = "Centre for Doctoral Training in Applied Photonics Annual Conference 2017 ; Conference date: 23-06-2017 Through 23-06-2017",

}

Reines March, G, Ju, X & Marshall, S 2017, 'Correlation of pre-operative cancer imaging techniques with post-operative gross and microscopic pathologic images' Centre for Doctoral Training in Applied Photonics Annual Conference 2017, Edinburgh, United Kingdom, 23/06/17 - 23/06/17, .

Correlation of pre-operative cancer imaging techniques with post-operative gross and microscopic pathologic images. / Reines March, G.; Ju, X.; Marshall, S.

2017. Poster session presented at Centre for Doctoral Training in Applied Photonics Annual Conference 2017, Edinburgh, United Kingdom.

Research output: Contribution to conferencePoster

TY - CONF

T1 - Correlation of pre-operative cancer imaging techniques with post-operative gross and microscopic pathologic images

AU - Reines March, G.

AU - Ju, X.

AU - Marshall, S.

PY - 2017/6/23

Y1 - 2017/6/23

N2 - 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.

AB - 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.

KW - image processing

KW - biomedical imaging

KW - tomographic imaging

KW - image registration

UR - https://www.cdtphotonics.hw.ac.uk/

M3 - Poster

ER -

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