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

Reines March, G. and Ju, X. and Marshall, S. (2017) Correlation of pre-operative cancer imaging techniques with post-operative gross and microscopic pathologic images. In: Centre for Doctoral Training in Applied Photonics Annual Conference 2017, 2017-06-23 - 2017-06-23, Heriot-Watt University.

[thumbnail of Reines-March-etal-CDTAP-2017-Correlation-of-pre-operative-cancer-imaging-techniques]
Preview
Text. Filename: Reines_March_etal_CDTAP_2017_Correlation_of_pre_operative_cancer_imaging_techniques.pdf
Accepted Author Manuscript

Download (207kB)| Preview

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.

ORCID iDs

Reines March, G. ORCID logoORCID: https://orcid.org/0000-0003-0761-0592, Ju, X. and Marshall, S. ORCID logoORCID: https://orcid.org/0000-0001-7079-5628;