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首页> 外文会议>2010 3rd International Conference on Biomedical Engineering and Informatics >Registration and fusion of human craniocerebral 3d models reconstructed from multimodality images
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Registration and fusion of human craniocerebral 3d models reconstructed from multimodality images

机译：从多模态图像重建的人类颅脑3d模型的配准和融合

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Our aim was 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 MRI coronary sections, gray matter and ventricle in MRI axial sections in 3D-DOCTOR4.0, then manual corrected. Skull in CT axial sectional images was automatically segmented by thresholding in Mimics8.11. Then, the above segmented structures were reconstructed and exported to Mimics software for registration and fusion. Finally, the fused models were observed at random angle and measured 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. In conclusion, three dimensional reconstructions can be made from multimodal craniocerebral sectional images according to their anatomic structure characteristics, and then registered and fused together.
机译：我们的目的是研究从多模态颅脑断层图像重建的模型的配准和融合，为手术导航的颅脑结构可视化提供基础。获得并构建了来自不同模态的颅脑数据集。为了进行分割，在3D-DOCTOR4.0中对MRI冠状切片中的白质，对MRI轴向切片中的灰质和脑室进行了“训练区域”和“阈值”方法，然后进行了手动校正。通过Mimics8.11中的阈值自动分割CT轴截面图像中的头骨。然后，将上述分割的结构重建并导出到Mimics软件进行配准和融合。最后，以随机角度观察融合模型，并在计算机中进行测量。重建了头骨，灰质，白质和心室系统。融合的脑模型在颅腔中分布良好，内部白质和心室融合良好。总之，可以根据多模态颅脑的解剖结构特征进行三维重建，然后将其配准并融合在一起。

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