
Proceedings Paper
Morphological image analysis for classification of gastrointestinal tissues using optical coherence tomographyFormat | Member Price | Non-Member Price |
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Paper Abstract
Computer-aided diagnosis of ophthalmic diseases using optical coherence tomography (OCT) relies on the extraction
of thickness and size measures from the OCT images, but such defined layers are usually not observed
in emerging OCT applications aimed at "optical biopsy" such as pulmonology or gastroenterology. Mathematical
methods such as Principal Component Analysis (PCA) or textural analyses including both spatial textural
analysis derived from the two-dimensional discrete Fourier transform (DFT) and statistical texture analysis obtained
independently from center-symmetric auto-correlation (CSAC) and spatial grey-level dependency matrices
(SGLDM), as well as, quantitative measurements of the attenuation coefficient have been previously proposed
to overcome this problem. We recently proposed an alternative approach consisting of a region segmentation
according to the intensity variation along the vertical axis and a pure statistical technology for feature quantification.
OCT images were first segmented in the axial direction in an automated manner according to intensity.
Afterwards, a morphological analysis of the segmented OCT images was employed for quantifying the features
that served for tissue classification. In this study, a PCA processing of the extracted features is accomplished
to combine their discriminative power in a lower number of dimensions. Ready discrimination of gastrointestinal
surgical specimens is attained demonstrating that the approach further surpasses the algorithms previously
reported and is feasible for tissue classification in the clinical setting.
Paper Details
Date Published: 30 January 2012
PDF: 8 pages
Proc. SPIE 8213, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVI, 821328 (30 January 2012); doi: 10.1117/12.907835
Published in SPIE Proceedings Vol. 8213:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVI
Joseph A. Izatt; James G. Fujimoto; Valery V. Tuchin, Editor(s)
PDF: 8 pages
Proc. SPIE 8213, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVI, 821328 (30 January 2012); doi: 10.1117/12.907835
Show Author Affiliations
P. Beatriz Garcia-Allende, Imperial College London (United Kingdom)
Helmholtz Zentrum München GmbH (Germany)
Iakovos Amygdalos, Imperial College London (United Kingdom)
Hiruni Dhanapala, Imperial College Healthcare NHS Trust (United Kingdom)
Helmholtz Zentrum München GmbH (Germany)
Iakovos Amygdalos, Imperial College London (United Kingdom)
Hiruni Dhanapala, Imperial College Healthcare NHS Trust (United Kingdom)
Robert D. Goldin, Imperial College London (United Kingdom)
George B. Hanna, Imperial College London (United Kingdom)
Daniel S. Elson, Imperial College London (United Kingdom)
George B. Hanna, Imperial College London (United Kingdom)
Daniel S. Elson, Imperial College London (United Kingdom)
Published in SPIE Proceedings Vol. 8213:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVI
Joseph A. Izatt; James G. Fujimoto; Valery V. Tuchin, Editor(s)
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