The University of Texas at Austin , Department of Biomedical Engineering, 107 W. Dean Keeton Street Stop C0800, Austin, Texas 78712, United States.
St. David's Hospital , NeuroTexas Institute, 1015 E. 32 Street Suite 404, Austin, Texas 78705, United States.
Neurophotonics. 2014 Jul;1(1):015006. doi: 10.1117/1.NPh.1.1.015006. Epub 2014 Aug 18.
Although multiple intraoperative cerebral blood flow (CBF) monitoring techniques are currently available, a quantitative method that allows for continuous monitoring and that can be easily integrated into the surgical workflow is still needed. Laser speckle contrast imaging (LSCI) is an optical imaging technique with a high spatiotemporal resolution that has been recently demonstrated as feasible and effective for intraoperative monitoring of CBF during neurosurgical procedures. This study demonstrates the impact of retrospective motion correction on the quantitative analysis of intraoperatively acquired LSCI images. LSCI images were acquired through a surgical microscope during brain tumor resection procedures from 10 patients under baseline conditions and after a cortical stimulation in three of those patients. The patient's electrocardiogram (ECG) was recorded during acquisition for postprocess correction of pulsatile artifacts. Automatic image registration was retrospectively performed to correct for tissue motion artifacts, and the performance of rigid and nonrigid transformations was compared. In baseline cases, the original images had [Formula: see text] noise across 16 regions of interest (ROIs). ECG filtering moderately reduced the noise to [Formula: see text], while image registration resulted in a further noise reduction of [Formula: see text]. Combined ECG filtering and image registration significantly reduced the noise to [Formula: see text] ([Formula: see text]). Using the combined motion correction, accuracy and sensitivity to small changes in CBF were improved in cortical stimulation cases. There was also excellent agreement between rigid and nonrigid registration methods (15/16 ROIs with [Formula: see text] difference). Results from this study demonstrate the importance of motion correction for improved visualization of CBF changes in clinical LSCI images.
尽管目前有多种术中脑血流 (CBF) 监测技术,但仍需要一种能够进行连续监测且易于集成到手术流程中的定量方法。激光散斑对比成像 (LSCI) 是一种具有高时空分辨率的光学成像技术,最近已被证明可用于神经外科手术中 CBF 的术中监测,是一种可行且有效的方法。本研究证明了回顾性运动校正对术中获取的 LSCI 图像的定量分析的影响。在脑肿瘤切除术期间,通过手术显微镜从 10 名患者中获取 LSCI 图像,在其中 3 名患者中进行皮质刺激后获取 LSCI 图像。在采集过程中记录患者的心电图 (ECG),以便对搏动伪影进行后处理校正。自动图像配准被回顾性地执行以校正组织运动伪影,并比较了刚性和非刚性变换的性能。在基线情况下,原始图像在 16 个感兴趣区域 (ROI) 中具有[公式:见正文]的噪声。ECG 滤波将噪声适度降低至[公式:见正文],而图像配准则将噪声进一步降低至[公式:见正文]。ECG 滤波和图像配准的组合将噪声显著降低至[公式:见正文]([公式:见正文])。使用联合运动校正,皮质刺激病例中 CBF 微小变化的准确性和敏感性得到提高。刚性和非刚性配准方法之间也具有极好的一致性(15/16 ROI 的差异为[公式:见正文])。本研究的结果表明,运动校正对于提高临床 LSCI 图像中 CBF 变化的可视化非常重要。