Depth-resolved model-based reconstruction of attenuation coefficients in optical coherence tomography.

We present a method, based on a single scattering model, to calculate the attenuation coefficient of each pixel in optical coherence tomography (OCT) depth profiles. Numerical simulations were used to determine the model's response to different depths and attenuation coefficients. Experiments were performed on uniform and layered phantoms with varying attenuation coefficients. They were measured by a 1300 nm OCT system and their attenuation coefficients were evaluated by our proposed method and by fitting the OCT slope as the gold standard. Both methods showed largely consistent results for the uniform phantoms. On the layered phantom, only our proposed method accurately estimated the attenuation coefficients. For all phantoms, the proposed method largely reduced the variability of the estimated attenuation coefficients. The method was illustrated on an in-vivo retinal OCT scan, effectively removing common imaging artifacts such as shadowing. By providing localized, per-pixel attenuation coefficients, this method enables tissue characterization based on attenuation coefficient estimates from OCT data.

[1]  J. Schmitt,et al.  Optical-coherence tomography of a dense tissue: statistics of attenuation and backscattering. , 1994, Physics in medicine and biology.

[2]  Hessel Wijkstra,et al.  Advanced diagnostics in renal mass using optical coherence tomography: a preliminary report. , 2011, Journal of endourology.

[3]  R. Kuc Clinical Application of an Ultrasound Attenuation Coefficient Estimation Technique for Liver Pathology Characterization , 1980, IEEE Transactions on Biomedical Engineering.

[4]  Yonghong He,et al.  Quantitative discrimination of NPC cell lines using optical coherence tomography , 2012, Journal of biophotonics.

[5]  Johannes F de Boer,et al.  The effect of glaucoma on the optical attenuation coefficient of the retinal nerve fiber layer in spectral domain optical coherence tomography images. , 2012, Investigative ophthalmology & visual science.

[6]  J Perrin,et al.  Global breast attenuation:control group and benign breast diseases. , 1990, Ultrasonic imaging.

[7]  K. A. Vermeer,et al.  Automated segmentation by pixel classification of retinal layers in ophthalmic OCT images , 2011, Biomedical optics express.

[8]  Gijs van Soest,et al.  Atherosclerotic tissue characterization in vivo by optical coherence tomography attenuation imaging. , 2010, Journal of biomedical optics.

[9]  K. A. Vermeer,et al.  Quantitative RNFL attenuation coefficient measurements by RPE-normalized OCT data , 2012, Photonics West - Biomedical Optics.

[10]  Johannes F de Boer,et al.  RPE-normalized RNFL attenuation coefficient maps derived from volumetric OCT imaging for glaucoma assessment. , 2012, Investigative ophthalmology & visual science.

[11]  Dirk J. Faber,et al.  Measurement of the axial point spread function in scattering media using single-mode fiber-based optical coherence tomography , 2003 .

[12]  D. D. de Bruin,et al.  Optical phantoms of varying geometry based on thin building blocks with controlled optical properties. , 2010, Journal of biomedical optics.

[13]  Dirk Faber,et al.  Functional optical coherence tomography : spatially resolved measurements of optical properties , 2005 .

[14]  L. Wann,et al.  Quantitative ultrasonic assessment of normal and ischaemic myocardium with an acoustic microscope: relationship to integrated backscatter. , 1990, Cardiovascular research.

[15]  Freek J. van der Meer,et al.  ORIGINAL ARTICLE , 2006 .

[16]  Johannes F de Boer,et al.  High speed miniature motorized endoscopic probe for optical frequency domain imaging. , 2012, Optics express.

[17]  F. Duck,et al.  Automatic attenuation compensation for ultrasonic imaging. , 1997, Ultrasound in medicine & biology.

[18]  Q. Zhang,et al.  Quantitative analysis of rectal cancer by spectral domain optical coherence tomography , 2012, Physics in medicine and biology.

[19]  Dirk J. Faber,et al.  Localized measurement of optical attenuation coefficients of atherosclerotic plaque constituents by quantitative optical coherence tomography , 2005, IEEE Transactions on Medical Imaging.

[20]  Ton G van Leeuwen,et al.  Differentiation between normal renal tissue and renal tumours using functional optical coherence tomography: a phase I in vivo human study , 2012, BJU international.

[21]  Wanrong Gao,et al.  Performance of single-scattering model versus multiple-scattering model in the determination of optical properties of biological tissue with optical coherence tomography. , 2010, Applied optics.

[22]  D. Bader,et al.  Scattering attenuation microscopy of oral epithelial dysplasia. , 2010, Journal of biomedical optics.

[23]  C Ross Ethier,et al.  Shadow removal and contrast enhancement in optical coherence tomography images of the human optic nerve head. , 2011, Investigative ophthalmology & visual science.

[24]  Freek J. van der Meer,et al.  Detection of apoptosis by optical coherence tomography (OCT) , 2001, SPIE BiOS.

[25]  H. Yura,et al.  Analysis of optical coherence tomography systems based on the extended Huygens-Fresnel principle. , 2000, Journal of the Optical Society of America. A, Optics, image science, and vision.

[26]  Chenyang Xu,et al.  Characterization of atherosclerosis plaques by measuring both backscattering and attenuation coefficients in optical coherence tomography. , 2008, Journal of biomedical optics.

[27]  Yonghong He,et al.  Quantitative measurement of optical attenuation coefficients of cell lines CNE1, CNE2, and NP69 using optical coherence tomography , 2013, Lasers in Medical Science.

[28]  D. Sampson,et al.  Parametric imaging of cancer with optical coherence tomography. , 2010, Journal of biomedical optics.

[29]  An application of ultrasonic tissue characterization to the diagnosis of cataract , 1992 .