首页> 外文会议>Conference on optical coherence tomography and coherence domain optical methods in biomedicine XIII; 20090126-28; San Jose, CA(US) >Discrimination of conjunctiva and sclera using texture analysis of polarization sensitive optical coherence tomography images
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Discrimination of conjunctiva and sclera using texture analysis of polarization sensitive optical coherence tomography images

机译:偏振敏感光学相干断层扫描图像纹理分析法鉴别结膜和巩膜

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Conjunctiva and sclera are not always discriminated in anterior eye optical coherence tomography (OCT) images, although they have distinctive tissue properties. In contrast, characteristic pattern can be observed at the sclera in a phase retardation OCT image measured by polarization sensitive OCT (PS-OCT). This is because sclera consists of collagen and it has birefringence. We developped a new algorithm which discriminates conjunctiva and sclera based on the local statistics of intensity and phase retardation OCT images. In 4 of 4 cases, conjunctiva and sclera were discriminated. This new algorithm is useful to discriminate tissues of PS-OCT images not by anatomical tissue structures but by direct tissue properties.
机译:尽管结膜和巩膜具有独特的组织特性,但它们在眼前光学相干断层扫描(OCT)图像中并不总是可以区分的。相反,在通过偏振敏感OCT(PS-OCT)测量的相位延迟OCT图像中,可以在巩膜处观察到特征图案。这是因为巩膜由胶原组成,并且具有双折射。我们基于强度和相位延迟OCT图像的局部统计数据,开发了一种区分结膜和巩膜的新算法。 4例中有4例被鉴别出结膜和巩膜。这种新算法可用于区分PS-OCT图像的组织,而不是通过解剖组织结构而是通过直接组织属性来进行区分。

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