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

Gabriel Reines March; Xiangyang Ju; Stephen Marshall

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

Gabriel Reines March, Xiangyang Ju, Stephen Marshall

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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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%.

Original language	English
Title of host publication	Irish Machine Vision and Image Processing Conference Proceedings
Subtitle of host publication	IMVIP 2017
Place of Publication	Ireland
Pages	257-260
Number of pages	4
Publication status	Published - 21 Sept 2017
Event	Irish Machine Vision and Image Processing Conference 2017 - Maynooth University, Co. Kildare, Ireland Duration: 30 Aug 2017 → 1 Sept 2017

Conference

Conference	Irish Machine Vision and Image Processing Conference 2017
Abbreviated title	IMVIP 2017
Country/Territory	Ireland
City	Co. Kildare
Period	30/08/17 → 1/09/17

Keywords

image processing
biomedical imaging
tomographic reconstruction
image registration

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Reines-March-Ju-Marshall-IMVIP-2017-Correlation-of-pre-operative-cancer-imaging-techniquesAccepted author manuscript, 646 KB

http://eprints.maynoothuniversity.ie/8841/1/IMVIP2017_Proceedings.pdf

Cite this

@inproceedings{671c2fca415d4a7da5483793e6538a1d,

title = "Correlation of pre-operative cancer imaging techniques with post-operative gross and microscopic pathology images",

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%.",

keywords = "image processing, biomedical imaging, tomographic reconstruction, image registration",

author = "{Reines March}, Gabriel and Xiangyang Ju and Stephen Marshall",

year = "2017",

month = sep,

day = "21",

language = "English",

isbn = "978-0-9934207-2-6 ",

pages = "257--260",

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note = "Irish Machine Vision and Image Processing Conference 2017, IMVIP 2017 ; Conference date: 30-08-2017 Through 01-09-2017",

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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. <http://eprints.maynoothuniversity.ie/8841/1/IMVIP2017_Proceedings.pdf>

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 proceeding › Conference contribution book

TY - GEN

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

AU - Reines March, Gabriel

AU - Ju, Xiangyang

AU - Marshall, Stephen

PY - 2017/9/21

Y1 - 2017/9/21

N2 - 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%.

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%.

KW - image processing

KW - biomedical imaging

KW - tomographic reconstruction

KW - image registration

UR - http://imvip2017.cs.nuim.ie/

M3 - Conference contribution book

SN - 978-0-9934207-2-6

SP - 257

EP - 260

BT - Irish Machine Vision and Image Processing Conference Proceedings

CY - Ireland

T2 - Irish Machine Vision and Image Processing Conference 2017

Y2 - 30 August 2017 through 1 September 2017

ER -

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

Abstract

Conference

Keywords

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