【摘要】 目的:针对传统脑血管CT图像三维重建过程的复杂性与不便捷性,探究一种基于裸眼3D视觉效果的脑血管CT图像三维重建方法,使重建过程更加快速。方法:在智能化神经网络融合模型的基础上,对脑血管CT图像病灶部分进行分割,建立3D人体模型数据库,从数据库选取相应部分对病灶进行替换,快速地完成脑血管CT三维重建过程。结果:通过3D人体模型数据库,节省了重建过程的时间,大大提高了脑血管CT图像三维重建的效率,从而有助于快速完成诊断。结论:该方法有利于更快速、便捷地实现脑血管CT的逼真展示,方便医生与病患的交流与沟通。更多还原

【Abstract】 Objective To explore rapid 3D reconstruction based on wiggle stereoscopy for cerebrovascular CT images to eliminate the complicacy and inconvenience of the traditional methods. Methods Focal parts of cerebrovascular CT images were segmented based on intelligent neural network fusion model. A 3D human body model base was established, and the focal parts were replaced with the corresponding ones in the base to realize cerebrovascular CT images 3D reconstruction.Results The 3D human body model base enhanced the efficiency of the cerebrovascular CT images 3D reconstruction greatly. Conclusion The rapid reconstruction based on wiggle stereoscopy facilitates the display of cerebrovascular CT images.更多还原