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

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

In this paper, different algorithms for volume reconstruction from tomographic cross-sectional pathology slices are described and tested. A tissue-mimicking phantom made with a mixture of agar and aluminium oxide was sliced at different thickness 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%.
LanguageEnglish
Title of host publicationIrish Machine Vision and Image Processing Conference Proceedings
Subtitle of host publicationIMVIP 2017
Place of PublicationIreland
Pages257-260
Number of pages4
Publication statusPublished - 21 Sep 2017
EventIrish Machine Vision and Image Processing Conference 2017 - Maynooth University, Co. Kildare, Ireland
Duration: 30 Aug 20171 Sep 2017

Conference

ConferenceIrish Machine Vision and Image Processing Conference 2017
Abbreviated titleIMVIP 2017
CountryIreland
CityCo. Kildare
Period30/08/171/09/17

Fingerprint

Aluminum Oxide
Pathology
Splines
Agar
Interpolation
Tissue
Aluminum
Imaging techniques
Oxides

Keywords

  • image processing
  • biomedical imaging
  • tomographic reconstruction
  • 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 pathology images. In Irish Machine Vision and Image Processing Conference Proceedings: IMVIP 2017 (pp. 257-260). Ireland.
Reines March, Gabriel ; Ju, Xiangyang ; Marshall, Stephen. / Correlation of pre-operative cancer imaging techniques with post-operative gross and microscopic pathology images. Irish Machine Vision and Image Processing Conference Proceedings: IMVIP 2017. Ireland, 2017. pp. 257-260
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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 pathology images. in Irish Machine Vision and Image Processing Conference Proceedings: IMVIP 2017. Ireland, pp. 257-260, Irish Machine Vision and Image Processing Conference 2017, Co. Kildare, Ireland, 30/08/17.

Correlation of pre-operative cancer imaging techniques with post-operative gross and microscopic pathology images. / Reines March, Gabriel; Ju, Xiangyang; Marshall, Stephen.

Irish Machine Vision and Image Processing Conference Proceedings: IMVIP 2017. Ireland, 2017. p. 257-260.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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AB - In this paper, different algorithms for volume reconstruction from tomographic cross-sectional pathology slices are described and tested. A tissue-mimicking phantom made with a mixture of agar and aluminium oxide was sliced at different thickness 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%.

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Reines March G, Ju X, Marshall S. Correlation of pre-operative cancer imaging techniques with post-operative gross and microscopic pathology images. In Irish Machine Vision and Image Processing Conference Proceedings: IMVIP 2017. Ireland. 2017. p. 257-260