首页> 外国专利> THREE-DIMENSIONAL CHOROIDAL VESSEL IMAGING AND QUANTITATIVE ANALYSIS METHOD AND APPARATUS BASED ON OPTICAL COHERENCE TOMOGRAPHY SYSTEM

THREE-DIMENSIONAL CHOROIDAL VESSEL IMAGING AND QUANTITATIVE ANALYSIS METHOD AND APPARATUS BASED ON OPTICAL COHERENCE TOMOGRAPHY SYSTEM

机译:基于光学相干断层扫描系统的三维脉络膜成像和定量分析方法和装置

摘要

A three-dimensional choroidal vessel imaging and quantitative analysis method and apparatus based on optical coherence tomography (OCT). The method comprises: on the basis of the idea of reverse compensation of an OCT backscattering signal, performing reverse compensation on backscattering attenuation signals of a deep choroidal vessel and a matrix acquired by means of OCT, so as to enhance a signal-to-noise ratio of the choroidal vessel; after an enhanced OCT choroidal image signal is acquired, further using a segmentation method based on deep learning to perform intelligent segmentation on a boundary between a choroid and a retinal epithelial layer and a boundary between the choroid and a sclera, thereby overcoming the defects of a traditional algorithm consuming time and being low in accuracy in three-dimensional choroid boundary segmentation; and on the basis of boundary segmentation, further using an improved adaptive threshold segmentation method to automatically separate three-dimensional choroidal vessel and non-vessel tissue, and according to the distribution and proportion of the vessels in an image in a three-dimensional volume space, calculating global and regional quantitative indexes which can characterize choroidal ischemia.
机译:一种基于光学相干断层扫描(OCT)的三维脉络膜成像和定量分析方法和装置。该方法包括:基于OCT反向散射信号的反向补偿的思想,对深脉络膜容器的反向补偿进行反向补偿,并通过OCT获取的矩阵,以增强信号 - 噪声脉络膜血管的比例;在获得增强的OCT脉络膜图像信号之后,进一步使用基于深度学习的分段方法,在脉络膜和视网膜上皮层之间的边界和脉络膜和巩膜之间的边界上执行智能分割,从而克服a的缺陷传统算法消耗时间并在三维脉络边界分割中的准确性低;并且在边界分割的基础上,进一步使用改进的自适应阈值分割方法来自动分离三维脉络膜和非容器组织,并根据三维体积空间中图像中的容器的分布和比例,计算全球和区域定量指标,可以表征脉络膜缺血。

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