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Speckle texture analysis of optical coherence tomography images

机译:光学相干断层扫描图像的斑点纹理分析

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Optical coherence tomography (OCT) is an imaging technique based on the low coherence interferometry, in which signals are obtained based on the coherent addition of the back reflected light from the sample. Applying computational methods and automated algorithms towards the classification of OCT images allows a further step towards enhancing the clinical applications of OCT. One attempt towards classification could be achieved by statistically analyzing the texture of the noisy granular patterns - speckles that make the OCT images. An attempt has been made to quantify the scattering effects based on the speckle texture patterns the scatterers produce. Statistical inference is drawn from the textural analysis of the features based on the spatial intensity distribution on the agar phantoms with different concentration of Intralipid solutions. This preliminary study conducted on agar-Intralipid solution has showed us that it is possible to differentiate between different types of scatterers based on the speckle texture studies. The texture analysis has also been extended in an attempt to identify the invasion of melanoma cell into tissue engineered skin. However using the same approach of texture analysis, we have not obtained satisfactory results for carrying on with the computer-based identification of the invasion of the melanoma in the tissue engineered skin, the reason for which has to be further studied and investigated upon.
机译:光学相干断层扫描(OCT)是一种基于低相干干涉技术的成像技术,其中,信号是基于样品的反光的相干相加而获得的。将计算方法和自动化算法应用于OCT图像的分类,可以进一步加强OCT的临床应用。通过统计分析嘈杂的颗粒图案(构成OCT图像的斑点)的纹理,可以实现对分类的一种尝试。已经尝试基于散射体产生的斑点纹理图案来量化散射效果。从特征的纹理分析得出统计推断,基于不同浓度的脂质溶液中琼脂模型的空间强度分布。这项关于琼脂-脂质溶液的初步研究表明,基于斑点纹理研究,可以区分不同类型的散射体。纹理分析也已经扩展,以试图鉴定黑素瘤细胞侵入组织工程皮肤中。但是,使用相同的纹理分析方法,对于基于计算机的组织工程皮肤中黑素瘤浸润的计算机识别,我们并未获得令人满意的结果,其原因有待进一步研究和调查。

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