不同模态颅脑断层影像重建后模型的配准与融合

Registration and Fusion of Models Reconstructed From Multimodal Craniocerebral Sectional Images

探讨不同模态影像重建后模型进行配准和融合,为颅脑手术导航中患者的颅脑重要结构可视化方法奠定基础。通过获得并建立不同模态的颅脑数据集,利用3D-DOCTOR4.0对MR冠状位断层数据集中的白质,MR轴位断层数据集中的灰质和脑室分别进行"Training area"和阈值分割,并对分割后的结构进行人工校正。利用Mimics8.01软件对CT轴位断层数据集中的颅骨进行自动阈值分割。分别对上述分割后的结构进行三维重建,并将三维重建数据导入到Mimics软件中进行模型配准和融合。在计算机中对融合后的三维结构进行任意角度的观察和体视学测量。结果重建出数字人颅骨、脑灰质、白质和脑室系统,融合结果显示颅腔内脑结构空间分布正常,内部白质和脑室空间位置融合良好。由此得出:根据不同模态颅脑影像中解剖结构的特点,可以分别进行三维重建,并对重建后的模型进行配准与融合。

To investigate the registration and fusion of models reconstructed from multimodal craniocerebral sectional images, providing basis of craniocerebral structure visualization for surgical navigation. The craniocerebral dataset from different modalities were obtained and constructed. For segmentation, ＂training area＂ and ＂threshold＂ methods were performed for white matter in MR coronary sections, gray matter and ventricle in MR axial sections in 3D-DOCTOR4.0, then manual corrected. Skull in CT axial sectional images was automatically threshold segmented in Mimics9.01. Then, the above segmented structures were reconstructed and exported to Mimics software for next registration and fusion. Finally, the fused models were observed at random angle and received stereological measure in computer. Skull, gray matter, white matter and ventricular system were reconstructed. The fused brain models were distributed well in cranial cavity, and inner white matter and ventricles were fused well in good position. Conclusion Three dimensional reconstructions can be made from multimodal craniocerebral sectional images according to their anatomic structure characteristics, and then registered and fused together.