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METHOD AND COMPUTER PROGRAM FOR SEGMENTATION OF OPTICAL COHERENCE TOMOGRAPHY IMAGES OF THE RETINA

机译:视网膜光学相干断层扫描图像的分割方法和计算机程序

摘要

The invention relates to a method and a computer program for segmentation of optical coherence tomography images of the retina comprising the steps of: a) Acquiring image data comprising a portion of the vitreous and a portion of the retina recorded with optical coherence tomography, wherein the portion of the retina comprises at least a portion of the optical nerve head, wherein the image data comprises pixels with associated pixel values; b) Providing a contour with a predefined initial shape and an initial position on the image data; c) Adjusting the shape and/or the position of the contour on the image data such that the adjusted contour separates the image data in a first region comprising the vitreous and a region comprising the retina, wherein the shape and position of the contour is adjusted with an optimization method, d) wherein the optimization method minimizes a contour-associated energy that depends on the contour shape, the contour position and the image data, wherein the contour-associated energy is minimized by adjusting the contour shape and contour position, wherein the contour-associated energy depends on a boundary potential, wherein the boundary potential is so high in a retina portion comprised in the second region that the contour-associated energy is increased such by the boundary potential in said retina portion that the adjusted contour is located outside of said retina portion.
机译:本发明涉及一种用于分割视网膜的光学相干断层扫描图像的方法和计算机程序,该方法和计算机程序包括以下步骤:a)获取图像数据,该图像数据包括用光学相干断层扫描记录的一部分玻璃体和一部分视网膜,其中视网膜的一部分包括光学神经头的至少一部分,其中图像数据包括具有相关像素值的像素; b)在图像数据上提供具有预定的初始形状和初始位置的轮廓; c)调整轮廓在图像数据上的形状和/或位置,使得调整后的轮廓在包括玻璃体的第一区域和包括视网膜的区域中分离图像数据,其中,调整轮廓的形状和位置d)利用优化方法,其中,所述优化方法使取决于轮廓形状,轮廓位置和图像数据的轮廓相关能量最小化,其中,通过调整轮廓形状和轮廓位置来使轮廓相关能量最小化,其中轮廓相关的能量取决于边界电势,其中在第二区域中包括的视网膜部分中的边界电势是如此之高,以致轮廓相关的能量被所述视网膜部分中的边界电势增加,使得调整后的轮廓位于在所述视网膜部分之外。

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