在外科手术期间的OCT (iOCT) 超级分辨率:一种两阶段方法,利用高质量的外科手术前的OCT扫描
Charalampos Komninos1, Theodoros Pissas1, Blanca Flores2
1School of Biomedical Engineering & Imaging Sciences, King's College London, SE1 7EU, London, UK.
Ophthalmic medical image analysis : 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings. OMIA (Workshop) (9th : 2022 : Singapore, Singapore)
|October 15, 2024
概括
这项研究使用手术前高分辨率OCT (preOCT) 数据增强了低分辨率的手术内光学连贯断层扫描 (iOCT) 图像. 这种新的两阶段方法显著提高了精确的视网膜治疗的图像质量.
科学领域:
- 眼科医生 眼科 眼科
- 生物医学工程 生物医学工程
- 医疗成像医学成像
背景情况:
- 再生疗法有可能在退行性疾病中恢复视力.
- 精确的视网膜内药物输送需要视网膜层的高质量可视化.
- 术内光学一致性断层扫描 (iOCT) 为此类手术提供了实时但不充分的图像质量.
研究的目的:
- 开发一种超高分辨率的方法来增强低分辨率iOCT图像.
- 利用术前高分辨率的OCT (preOCT) 图像来提高iOCT的质量.
- 通过增强的iOCT可视化,实现精确的视网膜内治疗.
主要方法:
- 建议采用两阶段超分辨率的方法.
- CycleGAN被用来学习从高分辨率 (HR) 到低分辨率 (LR) 的OCT的降解,从preOCT数据生成伪iOCT图像.
- 一个Pix2Pix模型在伪iOCT/preOCT对上进行超分辨率映射的训练.
主要成果:
- 提出的方法显著优于现有的基于学习的超级分辨率技术.
- 使用全参考和无参考图像质量指标的定量分析证实了卓越的性能.
- 实现了与preOCT质量相比的iOCT图像质量.
结论:
- 开发的超高分辨率技术可以提高iOCT图像质量,用于视网膜外科手术.
- 这一进步可能有助于在不需要硬件升级的情况下在临床实践中采用iOCT.
- 改进的iOCT可视化支持视力恢复的再生疗法的精确交付.
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