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Cerebral edema detection in vivo after middle cerebral artery occlusion using swept-source optical coherence tomography.
Neurophotonics ( IF 4.8 ) Pub Date : 2019-11-14 , DOI: 10.1117/1.nph.6.4.045007
Jian Liu 1 , Yan Li 1 , Yao Yu 1 , Xincheng Yuan 2 , Hongyu Lv 3 , Yuqian Zhao 1 , Zhenhe Ma 1
Affiliation  

Cerebral edema is a severe complication of ischemic cerebrovascular disease, which can lead to microcirculation compression resulting in additional ischemic damage. Real-time and continuous in vivo imaging techniques for edema detection are of great significance to basic research on cerebral edema. We attempted to monitor the cerebral edema status in rats with middle cerebral artery occlusion (MCAO) over time, using a wide field-of-view swept-source optical coherence tomography (SS-OCT) system. Optical attenuation coefficients (OACs) were calculated by an optimized depth-resolved estimation method, and en face OAC maps covering the whole cortex were obtained. Then, the tissue affected by edema was segmented from the OAC maps, and the cortical area affected by edema was estimated. Both magnetic resonance image (MRI) and brain water content measurements were used to verify the presence of cerebral edema. The results showed that the average OAC of the ischemic area gradually decreased as cerebral edema progressed, and the edema area detected by SS-OCT had high similarity in position and shape to that obtained by MRI. This work extends the application of OCT and provides an option for detecting cerebral edema in vivo after ischemic stroke.

中文翻译:

使用扫频光学相干断层扫描技术检测大脑中动脉闭塞后的体内脑水肿。

脑水肿是缺血性脑血管疾病的严重并发症,可导致微循环受压,导致其他缺血性损害。实时连续的体内水肿成像技术对脑水肿的基础研究具有重要意义。我们尝试使用宽视野扫频源光学相干断层扫描(SS-OCT)系统来监测大脑中动脉闭塞(MCAO)随时间变化的大鼠脑水肿状态。通过优化的深度分解估计方法计算光衰减系数(OAC),并获得覆盖整个皮质的正面OAC图。然后,从OAC图上分割受水肿影响的组织,并估计受水肿影响的皮质区域。磁共振图像(MRI)和脑水含量测量均用于验证脑水肿的存在。结果表明,随着脑水肿的发展,缺血区域的平均OAC逐渐降低,SS-OCT检测到的水肿区域与MRI的位置和形状高度相似。这项工作扩展了OCT的应用范围,并为缺血性中风后体内脑水肿的检测提供了一种选择。
更新日期:2019-11-01
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