An optimized segmentation and quantification approach in microvascular imaging for OCTA-based neovascular regression monitoring.
Sheng WuShaowei WuHui FengZizhong HuYejing XieYun SuTing FengLi LiPublished in: BMC medical imaging (2021)
The results and analysis have confirmed that the proposed optimization process by the improved VCA method is both effective and feasible to segment and quantify the NVC with lower noise and fewer artifacts. Thus, it can be potentially applied to monitor the fibrovascular regression during the treatment period. Clinical Trial Registration This trial is registered with the Chinese Clinical Trial Registry (Registered 27 December 2017, http://www.chictr.org.cn , registration number ChiCTR-IPR-17014160).
Keyphrases
- clinical trial
- phase ii
- phase iii
- study protocol
- open label
- double blind
- high resolution
- deep learning
- age related macular degeneration
- air pollution
- randomized controlled trial
- magnetic resonance imaging
- squamous cell carcinoma
- combination therapy
- image quality
- vascular endothelial growth factor
- machine learning
- mass spectrometry
- replacement therapy