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

G. Reines March; X. Ju; S. Marshall

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

G. Reines March, X. Ju, S. Marshall

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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 language	English
Number of pages	1
Publication status	Published - 23 Jun 2017
Event	Centre for Doctoral Training in Applied Photonics Annual Conference 2017 - Heriot-Watt University, Edinburgh, United Kingdom Duration: 23 Jun 2017 → 23 Jun 2017

Conference

Conference	Centre for Doctoral Training in Applied Photonics Annual Conference 2017
Country/Territory	United Kingdom
City	Edinburgh
Period	23/06/17 → 23/06/17

Keywords

image processing
biomedical imaging
tomographic imaging
image registration

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Reines-March-etal-CDTAP-2017-Correlation-of-pre-operative-cancer-imaging-techniquesAccepted author manuscript, 202 KB

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@conference{a821be7b14214c94b70d2fbadbf6f1b5,

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 = jun,

day = "23",

language = "English",

note = "Centre for Doctoral Training in Applied Photonics Annual Conference 2017 ; Conference date: 23-06-2017 Through 23-06-2017",

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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

T2 - Centre for Doctoral Training in Applied Photonics Annual Conference 2017

Y2 - 23 June 2017 through 23 June 2017

ER -

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

Abstract

Conference

Keywords

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CDT Applied Photonics Annual Conference - Best Poster prize

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Prizes

CDT Applied Photonics Annual Conference - Best Poster prize

Cite this