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Parametric imaging of cancer with optical coherence tomography

McLaughlin, R.A., Scolaro, L., Robbins, P., Saunders, C., Jacques, S.L. and Sampson, D.D. (2010) Parametric imaging of cancer with optical coherence tomography Journal of Biomedical Optics, 15 (4).

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Abstract

We present a parametric optical coherence tomography (OCT) technique to improve contrast between malignant and healthy non-neoplastic tissue. The technique incorporates a fully automated method to extract tissue attenuation characteristics. Results are represented visually as a parametric en face image, where the parameter used for contrast is indicative of the relative optical attenuation coefficient of the tissue. We present the first parametric OCT images of human lymph nodes containing malignant cells, and demonstrate improved tissue contrast over en face OCT images.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences
Faculty of Health and Medical Sciences
Authors :
NameEmailORCID
McLaughlin, R.A.
Scolaro, L.
Robbins, P.
Saunders, C.
Jacques, S.L.
Sampson, D.D.d.sampson@surrey.ac.uk
Date : 2010
DOI : 10.1117/1.3479931
Uncontrolled Keywords : Cancer, Lymph node, Optical coherence tomography, Parametric imaging, Parametric optical coherence tomography, Automated methods, Cancer, Face images, Lymph node, Malignant cells, Optical attenuation, Parametric imaging, Tissue attenuation, Body fluids, Diseases, Electromagnetic wave attenuation, Tissue, Tomography, algorithm, article, automated pattern recognition, computer assisted diagnosis, human, image enhancement, lymph node, lymph node metastasis, methodology, optical coherence tomography, pathology, reproducibility, sensitivity and specificity, tumor cell culture, Algorithms, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Lymph Nodes, Lymphatic Metastasis, Pattern Recognition, Automated, Reproducibility of Results, Sensitivity and Specificity, Tomography, Optical Coherence, Tumor Cells, Cultured
Depositing User : Maria Rodriguez-Marquez
Date Deposited : 06 Jun 2018 11:30
Last Modified : 19 Sep 2018 11:32
URI: http://epubs.surrey.ac.uk/id/eprint/846866

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