Mapping Tissue Optical Attenuation to Identify Cancer Using Optical Coherence Tomography

Robert Mclaughlin, Loretta Scolaro, P. Robbins, Christobel Saunders, S.L. Jacques, David Sampson, Guang-Zhong Yang (Editor), David Hawkes (Editor), Daniel Rueckert (Editor), Alison Noble (Editor), Chris Taylor (Editor)

    Research output: Contribution to journalArticlepeer-review

    19 Citations (Scopus)


    The lymphatic system is a common route for the spread of cancer andthe identification of lymph node metastases is a key task during cancer surgery.This paper demonstrates the use of optical coherence tomography to constructparametric images of lymph nodes. It describes a method to automatically estimatethe optical attenuation coefficient of tissue. By mapping the opticalattenuation coefficient at each location in the scan, it is possible to construct aparametric image indicating variations in tissue type. The algorithm is appliedto ex vivo samples of human axillary lymph nodes and validated against a histologicalgold standard. Results are shown illustrating the variation in opticalproperties between cancerous and healthy tissue.
    Original languageEnglish
    Pages (from-to)657-664
    JournalLecture Notes in Computer Science
    Issue number2
    Publication statusPublished - 2009


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