基于DBCNet的TOF-MRA中脑动脉树区域自动分割方法
张嘉骏1,鲁宇澄2,鲍奕仿2,李郁欣2,耿辰3,4,#(
),胡伏原1,§(),戴亚康1,3,*()
),胡伏原1,§(),戴亚康1,3,*()
An Automatic Segmentation Method of Cerebral Arterial Tree in TOF-MRA Based on DBCNet
ZHANG Jiajun1,LU Yucheng2,BAO Yifang2,LI Yuxin2,GENG Chen3,4,#(),HU Fuyuan1,§(),DAI Yakang1,3,*()
),HU Fuyuan1,§(),DAI Yakang1,3,*()
图10. 在MIP上展示消融实验中3D TOF-MRA影像的动脉树分割结果，真实值的红圈位置在不同策略分割结果中有相对明显的差异
Fig. 10. Arterial tree segmentations of ablation experimental for 3D TOF-MRA images of intracranial aneurysm patients on MIP. The red circles in the ground truth image indicate the apparent differences in segmentation results generated by different strategies
