Hyperspectral imaging for intraoperative margin assessment during breast cancer surgery

H. J.C.M. Sterenborg; E. Kho; L. L. de Boer; K. K. van de Vijver; Th M. Ruers

Hyperspectral imaging for intraoperative margin assessment during breast cancer surgery

H. J.C.M. Sterenborg
, E. Kho
, L. L. de Boer
, K. K. van de Vijver
, Th M. Ruers

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

In the wavelength range from 900-1700 nm, diffusion theory predicts a strong variation in sampling depth with wavelength (between 1 mm and more than a centimeter). This significantly complicates spectral analysis and seriously limits the sensitivity for small pockets of cancer. We developed an approach to overcome this problem end tested it on fresh resection specimen.

Original language	English
Title of host publication	2016 Asia Communications and Photonics Conference, ACP 2016 - Proceedings
Publisher	Optical Society of America
ISBN (Electronic)	9780960038008
Publication status	Published - Nov 2016
Externally published	Yes
Event	Asia Communications and Photonics Conference, ACP 2016 - Wuhan, China Duration: 2 Nov 2016 → 5 Nov 2016

Conference

Conference	Asia Communications and Photonics Conference, ACP 2016
Abbreviated title	ACP 2016
Country/Territory	China
City	Wuhan
Period	2/11/16 → 5/11/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Cite this

@inproceedings{7dbb9ee8e9944a2ab3ad9e258a0cb235,

title = "Hyperspectral imaging for intraoperative margin assessment during breast cancer surgery",

abstract = "In the wavelength range from 900-1700 nm, diffusion theory predicts a strong variation in sampling depth with wavelength (between 1 mm and more than a centimeter). This significantly complicates spectral analysis and seriously limits the sensitivity for small pockets of cancer. We developed an approach to overcome this problem end tested it on fresh resection specimen.",

author = "Sterenborg, \{H. J.C.M.\} and E. Kho and \{de Boer\}, \{L. L.\} and \{van de Vijver\}, \{K. K.\} and Ruers, \{Th M.\}",

year = "2016",

month = nov,

language = "English",

booktitle = "2016 Asia Communications and Photonics Conference, ACP 2016 - Proceedings",

publisher = "Optical Society of America",

note = "Asia Communications and Photonics Conference, ACP 2016, ACP 2016 ; Conference date: 02-11-2016 Through 05-11-2016",

}

Hyperspectral imaging for intraoperative margin assessment during breast cancer surgery. / Sterenborg, H. J.C.M.; Kho, E.; de Boer, L. L. et al.
2016 Asia Communications and Photonics Conference, ACP 2016 - Proceedings. Optical Society of America, 2016. 8680281.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Hyperspectral imaging for intraoperative margin assessment during breast cancer surgery

AU - Sterenborg, H. J.C.M.

AU - Kho, E.

AU - de Boer, L. L.

AU - van de Vijver, K. K.

AU - Ruers, Th M.

PY - 2016/11

Y1 - 2016/11

N2 - In the wavelength range from 900-1700 nm, diffusion theory predicts a strong variation in sampling depth with wavelength (between 1 mm and more than a centimeter). This significantly complicates spectral analysis and seriously limits the sensitivity for small pockets of cancer. We developed an approach to overcome this problem end tested it on fresh resection specimen.

AB - In the wavelength range from 900-1700 nm, diffusion theory predicts a strong variation in sampling depth with wavelength (between 1 mm and more than a centimeter). This significantly complicates spectral analysis and seriously limits the sensitivity for small pockets of cancer. We developed an approach to overcome this problem end tested it on fresh resection specimen.

UR - https://www.scopus.com/pages/publications/85091261681

M3 - Conference contribution

AN - SCOPUS:85091261681

BT - 2016 Asia Communications and Photonics Conference, ACP 2016 - Proceedings

PB - Optical Society of America

T2 - Asia Communications and Photonics Conference, ACP 2016

Y2 - 2 November 2016 through 5 November 2016

ER -

Hyperspectral imaging for intraoperative margin assessment during breast cancer surgery

Abstract

Conference

UN SDGs

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