Mapping tissue optical attenuation to identify cancer using optical coherence tomography

Robert A. McLaughlin, Loretta Scolaro, Peter Robbins, Christobel Saunders, Steven Jacques, David D. Sampson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The lymphatic system is a common route for the spread of cancer and the identification of lymph node metastases is a key task during cancer surgery. This paper demonstrates the use of optical coherence tomography to construct parametric images of lymph nodes. It describes a method to automatically estimate the optical attenuation coefficient of tissue. By mapping the optical attenuation coefficient at each location in the scan, it is possible to construct a parametric image indicating variations in tissue type. The algorithm is applied to ex vivo samples of human axillary lymph nodes and validated against a histological gold standard. Results are shown illustrating the variation in optical properties between cancerous and healthy tissue.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages657-664
Number of pages8
Volume5762 LNCS
EditionPART 2
DOIs
StatePublished - 2009
Event12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009 - London, United Kingdom
Duration: Sep 20 2009Sep 24 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5762 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009
CountryUnited Kingdom
CityLondon
Period9/20/099/24/09

Fingerprint

Optical Coherence Tomography
Optical tomography
Attenuation
Cancer
Tissue
Vertex of a graph
Metastasis
Coefficient
Gold
Optical Properties
Surgery
Optical properties
Estimate
Demonstrate

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

McLaughlin, R. A., Scolaro, L., Robbins, P., Saunders, C., Jacques, S., & Sampson, D. D. (2009). Mapping tissue optical attenuation to identify cancer using optical coherence tomography. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 5762 LNCS, pp. 657-664). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5762 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-04271-3_80

Mapping tissue optical attenuation to identify cancer using optical coherence tomography. / McLaughlin, Robert A.; Scolaro, Loretta; Robbins, Peter; Saunders, Christobel; Jacques, Steven; Sampson, David D.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5762 LNCS PART 2. ed. 2009. p. 657-664 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5762 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

McLaughlin, RA, Scolaro, L, Robbins, P, Saunders, C, Jacques, S & Sampson, DD 2009, Mapping tissue optical attenuation to identify cancer using optical coherence tomography. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 5762 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5762 LNCS, pp. 657-664, 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009, London, United Kingdom, 9/20/09. https://doi.org/10.1007/978-3-642-04271-3_80
McLaughlin RA, Scolaro L, Robbins P, Saunders C, Jacques S, Sampson DD. Mapping tissue optical attenuation to identify cancer using optical coherence tomography. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 5762 LNCS. 2009. p. 657-664. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-04271-3_80
McLaughlin, Robert A. ; Scolaro, Loretta ; Robbins, Peter ; Saunders, Christobel ; Jacques, Steven ; Sampson, David D. / Mapping tissue optical attenuation to identify cancer using optical coherence tomography. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5762 LNCS PART 2. ed. 2009. pp. 657-664 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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