Near real-time classification of optical coherence tomography data using principal components fed linear discriminant analysis

Journal of Biomedical Optics

Volumn 13, Issue 3, 2008, Pages

  Bazant Hegemark, Florian ^a,b   Stone, Nicholas ^a,b  

^a CRANFIELD UNIVERSITY   (United Kingdom)

^b GLOUCESTERSHIRE ROYAL HOSPITAL   (United Kingdom)

Author keywords

automated discrimination; classification model; image processing; medical imaging; optical coherence tomography; preprocessing

Indexed keywords

AUTOMATED DISCRIMINATION; CLASSIFICATION MODEL; CLASSIFICATION OF DATA; CLINICAL SETTINGS; CROSS VALIDATION; DATA SETS; DESCRIPTORS; DISEASE MARKERS; LINEAR DISCRIMINANT ANALYSIS; PREDICTION ALGORITHMS; PREPROCESSING; PRINCIPAL COMPONENTS; PROOF OF CONCEPT; STANDARD DEVIATION; VISUAL SIMILARITY;

ALGORITHMS; DISCRIMINANT ANALYSIS; IMAGE PROCESSING; MEDICAL IMAGING; OPTICAL DATA PROCESSING; THREE DIMENSIONAL; TISSUE; TOMOGRAPHY;

PRINCIPAL COMPONENT ANALYSIS;

SUS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SYSTEM; DISCRIMINANT ANALYSIS; IMAGE ENHANCEMENT; IMAGE QUALITY; METHODOLOGY; OPTICAL COHERENCE TOMOGRAPHY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SYSTEMS; DISCRIMINANT ANALYSIS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LINEAR MODELS; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 51649095903     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.2931079     Document Type: Article

References (17)

1. D., Huang, E. A., Swanson, C. P., Lin, J. S., Schuman, W. G., Stinson, W., Chang, M. R., Hee, T., Flotte, K., Gregory, C. A., Puliafito, and J. G., Fujimoto, " Optical coherence tomography, ", Science, 254, 1178-1181 (1991). sci SCIEAS 0036-8075 10.1126/science.1957169
2. P. H., Tomlins and R. K., Wang, " Theory, developments and applications of optical coherence tomography, ", J. Phys. D, 38, 2519-253 (2005). jpd JPAPBE 0022-3727 10.1088/0022-3727/38/15/002
3. F. I., Feldchtein, G. V., Gelikonov, V. M., Gelikonov, R. V., Kuranov, A. M., Sergeev, N. D., Gladkova, A. V., Shakhov, N. M., Shakhova, L. B., Snopova, A. B., Terent'eva, E. V., Zagainova, Y. P., Chumakov, and I. A., Kuznetzova, " Endoscopic applications of optical coherence tomography, ", Opt. Express, 3 (6), 257-270 (1998). 8mi OPEXFF 1094-4087
4. P., Targowski, B., Rouba, M., Wojtkowski, and A., Kowalczyk, " The application of optical coherence tomography to non-destructive examination of museum objects, ", Stud. Conserv., 49, 107-114 (2004).
5. H., Liang, M., Cid, R., Cucu, G., Dobre, A., Podoleanu, J., Pedro, and D., Saunders, " En-face optical coherence tomography - a novel application of non-invasive imaging to art conservation, ", Opt. Express, 13, 6133-6144 (2005). 8mi OPEXFF 1094-4087 10.1364/OPEX.13.006133
6. S., Wold, K., Esbensen, and P., Geladi, " Principal component analysis, ", Chemom. Intell. Lab. Syst., 2, 37-52 (1987). cil CILSEN 0169-7439 10.1016/0169-7439(95)00008-K
7. J., Weissman, T., Hancewicz, and P., Kaplan, " Optical coherence tomography of skin for measurement of epidermal thickness by shapelet-based image analysis, ", Opt. Express, 12, 5760-5769 (2004). 8mi OPEXFF 1094-4087 10.1364/OPEX.12.005760
8. X., Qi, M. V., Sivak, Jr., G., Isenberg, J. E., Willis, and A. M., Rollins, " Computer-aided diagnosis of dysplasia in Barrett's esophagus using endoscopic optical coherence tomography, ", J. Biomed. Opt., 11 (4), 044010 (2006). jbo JBOPFO 1083-3668 10.1117/1.2337314
9. M. L., Huang and H. Y., Chen, " Development and comparison of automated classifiers for glaucoma diagnosis using Stratus optical coherence tomography, ", Invest. Ophthalmol. Visual Sci., 46 (11), 4121-4129 (2005). ipv IOVSDA 0146-0404 10.1167/iovs.05-0069
10. A. M., Zysk and S. A., Boppart, " Computational methods for analysis of human breast tumor tissue in optical coherence tomography images, ", J. Biomed. Opt., 11 (5), 054015 (2006). jbo JBOPFO 1083-3668 10.1117/1.2358964
11. J., Rogowska, C. M., Bryant, and M. E., Brezinski, " Cartilage thickness measurements from optical coherence tomography, ", J. Opt. Soc. Am. A, 20, 357-367 (2003). joa JOAOD6 0740-3232 10.1364/JOSAA.20.000357
12. Y., Hori, Y., Yasuno, S., Sakai, M., Matsumoto, T., Sugawara, V., Madjarova, M., Yamanari, S., Makita, T., Yasui, T., Araki, M., Itoh, and T., Yatagai, " Automatic characterization and segmentation of human skin using three-dimensional optical coherence tomography, ", Opt. Express, 14, 1862-1877 (2006). 8mi OPEXFF 1094-4087 10.1364/OE.14.001862
13. Y., Yang, A., Dubois, X.-P., Qin, J., Li, A., El Haj, and R. K., Wang, " Investigation of optical coherence tomography as an imaging modality in tissue engineering, ", Phys. Med. Biol., 51, 1649-1659 (2006). pme PHMBA7 0031-9155 10.1088/0031-9155/51/7/001
14. D. C., Fernández, H. M., Salinas, and C. A., Puliafito, " Automated detection of retinal layer structures on optical coherence tomography images, ", Opt. Express, 13 (25), 10200-10216 (2005). 8mi OPEXFF 1094-4087 10.1364/OPEX.13.010200
15. R. G., Brereton, " Experimental design and Pattern recognition, " Chaps. 1 and 4, in, Chemometrics-Data Analysis for the Laboratory and Chemical Plant, pp. 15-53, 191-224, John Wiley & Sons Ltd. (2003).
16. C., Kendall, N., Stone, N., Shepherd, K., Geboes, B., Warren, R., Bennett, and H., Barr, " Raman spectroscopy, a potential tool for the objective identification and classification of neoplasia in Barrett's oesophagus, ", J. Laser Appl., 200, 602-609 (2003). jle JLAPEN 1042-346X
17. N. A., Shepherd, " Barrett's esophagus: its pathology and neoplastic complications, ", Esophagus, 1 (1), 17-29 (2003).