为增强视网膜光学连贯性断层扫描图像的通用3D注册算法
Tiffany Tse1, Yudan Chen1, Mahsa Siadati1
1The University of British Columbia, School of Biomedical Engineering, Faculty of Medicine and Applied Science, Vancouver, British Columbia, Canada.
Journal of biomedical optics
|May 15, 2024
概括
一个新的系统不可知算法从光学连贯断层扫描 (OCT) 图像中删除了运动工件,改善了视网膜结构的可视化. 这种方法通过提供更清晰的OCT卷来提高各种眼部疾病的诊断能力.
科学领域:
- 眼科医生 眼科 眼科
- 医疗成像医学成像
- 生物医学工程 生物医学工程
背景情况:
- 光学连贯断层扫描 (OCT) 对于诊断和监测眼部疾病至关重要.
- 运动工件降低了OCT图像质量,限制了临床实用性.
- 现有的注册算法通常是系统特定的,阻碍了广泛的应用.
研究的目的:
- 开发一个系统无关的B扫描注册算法,用于移除OCT的运动工件.
- 独立于特定的系统参数或获取协议,创建无工艺品的OCT卷.
主要方法:
- 开发了一种B扫描注册算法,以纠正翻译和旋转眼动.
- 该算法在来自不同规格的定制和商业OCT系统的各种数据集上进行了测试.
- 使用平均平方误差 (MSE) 和多尺度结构相似性指数测量 (MS-SSIM) 量化精度.
主要成果:
- 该算法显著改善了图像对比度,使表面和深视网膜血管系统的详细可视化成为可能.
- 细微的视网膜特征,包括光受体和病理,在注册和平均后变得明显.
- 定量分析显示,MSE减少,MS-SSIM增加,平均注册量更高.
结论:
- 开发的算法提供了视网膜微血管和形态学的卓越可视化.
- 系统不可知的方法提高了跨不同模式的OCT的临床实用性.
- 这种方法改善了OCT在诊断和监测眼部病理方面的作用.
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