Chen Xudong, Ma Zongqing, Wang Chongyang, Cui Jiaqi, Fan Fan, Gao Xinxiao, Zhu Jiang
Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China.
Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
J Biophotonics. 2024 Oct;17(10):e202400198. doi: 10.1002/jbio.202400198. Epub 2024 Aug 28.
Optical coherence tomography angiography (OCTA), a functional extension of optical coherence tomography (OCT), is widely employed for high-resolution imaging of microvascular networks. However, due to the relatively low scan rate of OCT, the artifacts caused by the involuntary bulk motion of tissues severely impact the visualization of microvascular networks. This study proposes a fast motion correction method based on image feature matching for OCT microvascular images. First, the rigid motion-related mismatch between B-scans is compensated through the image feature matching based on the improved oriented FAST and rotated BRIEF algorithm. Then, the axial motion within A-scan lines in each B-scan image is corrected according to the displacement deviation between the detected boundaries achieved by the Scharr operator in a non-rigid transformation manner. Finally, an optimized intensity-based Doppler variance algorithm is developed to enhance the robustness of the OCTA imaging. The experimental results demonstrate the effectiveness of the method.
光学相干断层扫描血管造影术（OCTA）是光学相干断层扫描（OCT）的功能扩展，广泛用于微血管网络的高分辨率成像。然而，由于OCT的扫描速率相对较低，组织非自愿整体运动引起的伪影严重影响了微血管网络的可视化。本研究提出了一种基于图像特征匹配的OCT微血管图像快速运动校正方法。首先，通过基于改进的定向FAST和旋转BRIEF算法的图像特征匹配来补偿B扫描之间与刚性运动相关的失配。然后，根据Scharr算子在非刚性变换方式下检测到的边界之间的位移偏差，校正每个B扫描图像中A扫描线内的轴向运动。最后，开发了一种基于强度的优化多普勒方差算法，以增强OCTA成像的鲁棒性。实验结果证明了该方法的有效性。
