一种改进的扭曲度测量方法,结合基于曲率的,宽度优先搜索和欧几里德距离,用于视网膜图像分析
Nur Asyiqin Amir Hamzah1,2, Wan Mimi Diyana Wan Zaki2, Aziah Ali3
1Centre of Advanced Analytics, Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, Melaka, Malaysia.
PeerJ
|January 12, 2026
概括
视网膜血管扭曲在动脉和静脉之间有所不同,在健康的眼睛中,静脉更加扭曲. 图像视野显著影响测量,需要标准化诊断准确性.
科学领域:
- 眼科和医学成像学
- 生物医学工程 生物医学工程
- 定量图像分析 定量图像分析
背景情况:
- 视网膜血管扭曲是系统性和眼部疾病的关键生物标志物.
- 量化评估,特别是动脉-静脉分化,还没有得到充分的研究.
- 对于可靠的扭曲度分析,需要标准化的方法.
研究的目的:
- 在健康和患病的眼睛中定量评估视网膜血管扭曲.
- 在数据集中区分动脉和静脉之间的扭曲.
- 为了研究成像参数,如视野 (FOV) 对曲率的影响.
主要方法:
- 用了三个公共数据集 (DRIVE,HRF,LES-AV) 来进行分析.
- 应用了一条管道,包括血管细分,动脉-静脉分离,骨架化和基于光盘的跟踪.
- 用于强大的船舶路径跟踪和基于曲率的指标的宽度首次搜索 (BFS).
主要成果:
- 在数据集中,静脉在健康眼睛中的形度明显高于动脉.
- 糖尿病视网膜病变的病例表现出放大了动脉静脉曲的差异.
- 更广泛的FOV数据集 (DRIVE,HRF) 报告了比更窄的FOV (LES-AV) 更高的扭曲度值.
结论:
- 视网膜血管扭曲是一种血管特异性,强大的生物标志物.
- 测量受到成像参数的影响,特别是FOV和光盘方向.
- 图像参数的标准化对于诊断应用和跨研究比较至关重要.
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