Kiseleva Elena B, Yashin Konstantin S, Moiseev Alexander A, Timofeeva Lidia B, Kudelkina Vera V, Alekseeva Anna I, Meshkova Svetlana V, Polozova Anastasia V, Gelikonov Grigory V, Zagaynova Elena V, Gladkova Natalia D
Privolzhsky Research Medical University, Nizhny Novgorod, Russia.
Russian Academy of Sciences, Institute of Applied Physics, Nizhny Novgorod, Russia.
Neurophotonics. 2019 Jul;6(3):035003. doi: 10.1117/1.NPh.6.3.035003. Epub 2019 Jul 16.
The methods used for digital processing of optical coherence tomography (OCT) and crosspolarization (CP) OCT images are focused on improving the contrast ratio of native structural OCT images. Such advances are particularly important for the intraoperative detection of glioma margins where the visual assessment of OCT images can be difficult and lead to errors. The aim of the study was to investigate the application of optical coefficients obtained from CP OCT data for the differentiation of glial tumorous tissue from a normal brain. Pseudocolor OCT maps based on two optical coefficients (the commonly used rate of attenuation in the cochannel, and in addition, the interchannel attenuation difference) were constructed for normal rat brain coronal cross sections and for brains with a 101.8 rat glioblastoma model. It was shown that the use of optical coefficients significantly increased the available information from the OCT data in comparison with unprocessed images. As a result, this allowed contrasting of the white matter from the gray matter and tumorous tissue , and for this purpose, the interchannel attenuation difference worked better. The interchannel attenuation difference values of white matter were at least seven and two times higher than corresponding values of the cortex and tumorous tissue, whereas the same parameter for cochannel attenuation coefficient values of white matter are about 4 and 1.4. However, quantitative analysis shows that both coefficients are suitable for the purpose of glioblastoma detection from normal brain tissue regardless of whether a necrotic component was present (in all compared groups ).
用于光学相干断层扫描(OCT)和交叉极化(CP)OCT图像数字处理的方法主要致力于提高原始结构OCT图像的对比度。这些进展对于术中检测胶质瘤边缘尤为重要,因为在这种情况下,对OCT图像进行视觉评估可能会很困难并导致错误。本研究的目的是研究从CP OCT数据获得的光学系数在区分神经胶质瘤组织与正常脑组织方面的应用。基于两个光学系数(常用的同通道衰减率以及通道间衰减差异)构建了伪彩色OCT图,用于正常大鼠脑冠状横截面以及具有101.8大鼠胶质母细胞瘤模型的大脑。结果表明,与未处理的图像相比,使用光学系数显著增加了OCT数据中的可用信息。因此,这使得能够区分白质与灰质以及肿瘤组织,为此,通道间衰减差异的效果更好。白质的通道间衰减差异值至少比皮质和肿瘤组织的相应值高7倍和2倍,而白质同通道衰减系数值的相同参数分别约为4和1.4。然而,定量分析表明,无论是否存在坏死成分(在所有比较组中),这两个系数都适用于从正常脑组织中检测胶质母细胞瘤。