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Mapping tissue optical attenuation to identify cancer using optical coherence tomography.

McLaughlin, R.A., Scolaro, L., Robbins, P., Saunders, C., Jacques, S.L. and Sampson, David (2009) Mapping tissue optical attenuation to identify cancer using optical coherence tomography. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 12 (Pt 2). pp. 657-664.

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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.

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, Davidd.sampson@surrey.ac.uk
Date : 2009
Uncontrolled Keywords : algorithm, article, automated pattern recognition, breast tumor, computer assisted diagnosis, female, human, image enhancement, lymph node, lymph node metastasis, methodology, optical coherence tomography, pathology, reproducibility, sensitivity and specificity, Algorithms, Breast Neoplasms, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Lymph Nodes, Lymphatic Metastasis, Pattern Recognition, Automated, Reproducibility of Results, Sensitivity and Specificity, Tomography, Optical Coherence
Depositing User : Maria Rodriguez-Marquez
Date Deposited : 11 Jun 2018 07:19
Last Modified : 19 Sep 2018 11:32
URI: http://epubs.surrey.ac.uk/id/eprint/846875

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