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

Reines March, Gabriel and Ju, Xiangyang and Marshall, Stephen; (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. Irish Pattern Recognition & Classification Society, IRL, pp. 257-260. ISBN 978-0-9934207-2-6

[thumbnail of Reines-March-Ju-Marshall-IMVIP-2017-Correlation-of-pre-operative-cancer-imaging-techniques]
Preview
 Text. Filename: Reines_March_Ju_Marshall_IMVIP_2017_Correlation_of_pre_operative_cancer_imaging_techniques.pdf
Accepted Author Manuscript
Download (661kB)| Preview

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%.

CORE (COnnecting REpositories)