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首页> 外文期刊>Journal of vision >Comparison of Macular Pigment Optical Density Spatial Profiles Measured Using Two-Wavelength Autofluorescence with Foveal Pit Mmorphology
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Comparison of Macular Pigment Optical Density Spatial Profiles Measured Using Two-Wavelength Autofluorescence with Foveal Pit Mmorphology

机译:使用中心凹坑形态的两波长自发荧光测量黄斑色素光密度空间分布的比较

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We compared macular pigment optical density (MPOD) spatial profiles measured by customized heterochromatic flicker photometry (cHFP) and two-wavelength autofluorescence (AF) imaging. Spectral domain optical coherence tomography (SD-OCT) was used to compare the MPOD distribution with foveal architecture. Thirty healthy subjects were recruited to measure their MPOD spatial profiles out to 7?° retinal eccentricity using cHFP and two-wavelength AF methods (Heidelberg HRA MP). Measurements of central foveal thickness, width of the foveal pit, and arrangements of the foveal layers were extracted from OCT scans in a subset of the subjects to investigate relationships to the MPOD distribution using the Heidelberg Spectralis SD-OCT. OCT B-scans and corresponding infrared fundus images were co-aligned with MPOD spatial profiles to examine MPOD with respect to foveal location. Our preliminary results support the idea that a wider fovea is associated with a wider macular pigment spatial profile that can include a central peak and flanking peaks. A narrow fovea is likely to have a steeper macular pigment distribution that more closely approximates an exponential spatial profile. OCT raster scans of the foveal pit are being co-aligned with MPOD spatial profiles for more detailed comparisons of spatial features.
机译:我们比较了通过定制的异色闪烁光度法(cHFP)和两波长自发荧光(AF)成像测量的黄斑色素光密度(MPOD)空间分布。使用光谱域光学相干断层扫描(SD-OCT)来比较MPOD分布与中央凹结构。招募了30名健康受试者,使用cHFP和两波长AF方法(海德堡HRA MP)测量其MPOD空间分布,直至7º°视网膜偏心。从受试者的一个子集中的OCT扫描中提取中央凹中心厚度,凹中心凹坑的宽度以及凹中心层的排列,以使用Heidelberg Spectralis SD-OCT研究与MPOD分布的关系。 OCT B扫描和相应的红外眼底图像与MPOD空间轮廓共同对齐,以检查MPOD相对于中央凹位置。我们的初步结果支持这样的想法,即中央凹越宽,黄斑色素空间分布越宽,其中包括中心峰和侧翼峰。狭窄的中央凹可能具有较陡的黄斑色素分布,其更接近于指数空间分布。小凹坑的OCT光栅扫描正与MPOD空间轮廓图对齐,以更详细地比较空间特征。

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