Download | - View accepted manuscript: Signal attenuation and box-counting fractal analysis of optical coherence tomography images of arterial tissue (PDF, 838 KiB)
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DOI | Resolve DOI: https://doi.org/10.1364/BOE.1.000268 |
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Author | Search for: Popescu, Dan P.1; Search for: Flueraru, Costel2; Search for: Mao, Youxin2; Search for: Chang, Shoude2; Search for: Sowa, Michael G.1 |
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Affiliation | - National Research Council of Canada. NRC Institute for Biodiagnostics
- National Research Council of Canada. NRC Institute for Microstructural Sciences
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Format | Text, Article |
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Subject | Coherence and statistical optics; Roughness; Medical optics and biotechnology; Medical and biological imaging; Optical coherence tomography; Tissue characterization |
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Abstract | The sensitivity of optical coherence tomography images to sample morphology is tested by two methods. The first method estimates the attenuation of the OCT signal from various regions of the probed tissue. The second method uses a box-counting algorithm to calculate the fractal dimensions in the regions of interest identified in the images. Although both the attenuation coefficient as well as the fractal dimension correlate very well with the anatomical features of the probed samples; the attenuation method provides a better sensitivity. Two types of samples are used in this study: segments of arteries collected from atherosclerosis–prone Watanabe rabbits (WHHL-MI) and healthy segments of porcine coronary arteries. |
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Publication date | 2010-08-02 |
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In | |
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Language | English |
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Peer reviewed | Yes |
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NPARC number | 17673519 |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | 53c081e7-e0d6-47c8-91b2-3ef3311d8a0c |
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Record created | 2011-04-03 |
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Record modified | 2020-04-17 |
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