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在光学连贯断层扫描中进行尺寸校正和深度图像优化,在结构图像辅助常见部分提取方法的结构图像辅助血管学中进行尺寸校正和深度图像优化

Wenxin Zhang^1,2, Hong Zhou¹, Yuxiu Tao¹

¹College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, China.

Journal of biophotonics

|September 27, 2023

概括

这项研究引入了一种用于光学连贯性断层扫描血管造影 (OCTA) 的新技术,以准确地消除尾部人工物. 我们的方法通过精确定义血管边界来改善3D血管重建和深血管成像.

科学领域:

眼科医生眼科眼科
生物医学成像技术生物医学成像技术
医疗技术医疗技术医学技术

背景情况:

在光学连贯断层扫描血管学 (OCTA) 中的尾部人工物阻碍了3D血管重建.
表面的血管人工物掩盖了深层血管信号,并导致信号混合.
现有的方法难以准确确定船只的下界.

研究的目的:

介绍一种用于提取精确边界的血管信号的新技术.
在OCTA中改进3D血管网络重建.
通过有效地去除尾部文物来增强深层血管的成像.

主要方法:

利用结构图像来帮助血管信号提取.
开发了一种用于更准确地确定血管边界的新技术.
将新方法与使用手掌血管图像的常见部分提取技术进行了比较.

主要成果:

拟议的方法有效地比以前的方法更彻底地去除尾部文物.
实现了更精确的血管网络3D重建.
在绘制深层船只图像方面表现出显著的优势.

结论:

这种新技术在OCTA中提供了优越的尾部工件消除.
精确的边界定义导致了改进的3D血管成像.
这种方法显示了增强深层船舶可视化的巨大潜力.

关键词:

文物消除文物消除光学连贯性断层扫描血管图谱整体尺寸的纠正尺寸的纠正船舶图像船舶图像船舶图像

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