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Imaging of breast cancer with optical coherence tomography needle probes: Feasibility and initial results

McLaughlin, R.A., Quirk, B.C., Curatolo, A., Kirk, R.W., Scolaro, L., Lorenser, D., Robbins, P.D., Wood, B.A., Saunders, C.M. and Sampson, D.D. (2012) Imaging of breast cancer with optical coherence tomography needle probes: Feasibility and initial results IEEE Journal on Selected Topics in Quantum Electronics, 18 (3). pp. 1184-1191.

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Optical coherence tomography (OCT) is a high-resolution imaging modality with the potential to provide in situ assessment to distinguish normal from cancerous tissue. However, limited image penetration depth has restricted its utility. This paper demonstrates the feasibility of an OCT needle probe to perform interstitial imaging deep below the tissue surface. The side-facing needle probe comprises miniaturized focusing optics consisting of no-core and GRIN fiber encased within either a 22- or 23-gauge needle. 3-D OCT volumetric data sets were acquired by rotating and retracting the probe during imaging. We present the first published image of a human breast cancer tumor margin, and of human axillary lymph nodes acquired with an OCT needle probe. Through accurate correlation with the histological gold standard, OCT is shown to enable a clear delineation of tumor boundary from surrounding adipose tissue, and identification of microarchitectural features.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences
Faculty of Health and Medical Sciences
Authors :
McLaughlin, R.A.
Quirk, B.C.
Curatolo, A.
Kirk, R.W.
Scolaro, L.
Lorenser, D.
Robbins, P.D.
Wood, B.A.
Saunders, C.M.
Date : 2012
DOI : 10.1109/JSTQE.2011.2166757
Uncontrolled Keywords : Cancer, interstitial imaging, needle probe, OCT needle, optical coherence tomography (OCT), Adipose tissue, Axillary lymph nodes, Breast Cancer, Cancer, Cancerous tissues, Focusing optics, Gold standards, High-resolution imaging, Human breast cancer, In-situ assessment, Needle probes, Tissue surface, Tumor boundary, Volumetric data sets, Diseases, Needles, Optical tomography, Probes, Tissue, Volumetric analysis, Medical imaging
Depositing User : Maria Rodriguez-Marquez
Date Deposited : 05 Jun 2018 15:06
Last Modified : 19 Sep 2018 11:32

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