Accurate Localization of Optic Radiation During Neurosurgery in an Interventional MRI Suite
Accurate Localization of Optic Radiation During Neurosurgery in an Interventional MRI Suite
复制标题
DOI：
10.1109/tmi.2011.2179668
复制
发表时间：
2012-04-01
影响因子：
10.6
通讯作者：
Ourselin, Sebastien
中科院分区：
文献类型：
--
作者：
Daga, Pankaj;Winston, Gavin;Ourselin, Sebastien
视辐射的准确定位是改善接受前颞叶切除术治疗难治性局灶性癫痫的患者手术结果的关键。目前的商用介入磁共振成像 (MRI) 扫描仪能够执行解剖和扩散加权成像，并用于在各种神经外科手术过程中进行指导。我们提出了一种介入成像工作流程，可以在手术过程中准确定位视辐射。该工作流程由近实时多通道非刚性图像配准算法驱动，该算法使用解剖和分数各向异性术前和术中图像。所提出的工作流程在图形处理单元上实现，我们在 3 分钟内将术前分割的光辐射扭曲到术中空间，使得所提出的算法适合在神经外科手术的严格时间限制下使用。该方法使用数字模型和临床数据进行了验证，该数据使用了接受手术治疗难治性局灶性癫痫的患者的术前和术后图像，并且显示了观察到的术后视野缺损与预测的视辐射损伤之间的强相关性。我们还使用一小群患者的介入 MRI 数据集验证了该算法。这项工作在图像引导干预中具有重要作用，并有助于有效的手术治疗。
Accurate localization of the optic radiation is key to improving the surgical outcome for patients undergoing anterior temporal lobe resection for the treatment of refractory focal epilepsy. Current commercial interventional magnetic resonance imaging (MRI) scanners are capable of performing anatomical and diffusion weighted imaging and are used for guidance during various neurosurgical procedures. We present an interventional imaging workflow that can accurately localize the optic radiation during surgery. The workflow is driven by a near real-time multichannel nonrigid image registration algorithm that uses both anatomical and fractional anisotropy pre- and intra-operative images. The proposed workflow is implemented on graphical processing units and we perform a warping of the pre- operatively parcellated optic radiation to the intra-operative space in under 3 min making the proposed algorithm suitable for use under the stringent time constraints of neurosurgical procedures. The method was validated using both a numerical phantom and clinical data using pre- and post-operative images from patients who had undergone surgery for treatment of refractory focal epilepsy and shows strong correlation between the observed post-operative visual field deficit and the predicted damage to the optic radiation. We also validate the algorithm using interventional MRI datasets from a small cohort of patients. This work could be of significant utility in image guided interventions and facilitate effective surgical treatments.