Retinal nerve fiber layer thickness map determined from optical coherence tomography images
Retinal nerve fiber layer thickness map determined from optical coherence tomography images
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DOI：
10.1364/opex.13.009480
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发表时间：
2005-11-14
期刊：
影响因子：
3.8
通讯作者：
de Boer, JF
中科院分区：
文献类型：
--
作者：
Mujat, M;Chan, RC;de Boer, JF
提出了一种基于各向异性噪声抑制和变形样条函数的OCT图像视网膜神经纤维层（RNFL）厚度确定方法。以29 kHz A线速率采集光谱域光学相干断层扫描（SDOCT）数据，深度分辨率为2.6 m，深度范围为1.6 mm。在约6秒内采集9.6x6.4 mm（2）和6.4x6.4 mm（2）的区域。可变形样条算法确定玻璃体-RNFL和RNFL-神经节细胞/内丛状层边界，分别基于反射率的变化，从而定量估计RNFL厚度。将厚度图与视网膜的积分反射图和典型的OCT电影相结合，以便于OCT数据的临床解释。大面积的RNFL厚度图将允许更好的纵向评价青光眼的RNFL变薄。(c)2005年，美国光学学会。
We introduce a method to determine the retinal nerve fiber layer (RNFL) thickness in OCT images based on anisotropic noise suppression and deformable splines. Spectral-Domain Optical Coherence Tomography (SDOCT) data was acquired at 29 kHz A-line rate with a depth resolution of 2.6 m and a depth range of 1.6 mm. Areas of 9.6x6.4 mm(2) and 6.4x6.4 mm(2) were acquired in approximately 6 seconds. The deformable spline algorithm determined the vitreous-RNFL and RNFL-ganglion cell/inner plexiform layer boundary, respectively, based on changes in the reflectivity, resulting in a quantitative estimation of the RNFL thickness. The thickness map was combined with an integrated reflectance map of the retina and a typical OCT movie to facilitate clinical interpretation of the OCT data. Large area maps of RNFL thickness will permit better longitudinal evaluation of RNFL thinning in glaucoma. (c) 2005 Optical Society of America.