基于3D ResNet50改进模型的TOF-MRA脑动脉瘤分类方法

薛培阳, 耿辰, 李郁欣, 鲍奕仿, 鲁宇澄, 戴亚康

A Classification Method for Cerebral Aneurysms in TOF-MRA Based on Improved 3D ResNet50 Model

XUE Peiyang, GENG Chen, LI Yuxin, BAO Yifang, LU Yucheng, DAI Yakang

表2 数据采集参数表

Table 2 Image acquisition parameters

采集设备 重复时间 回波时间 图像分辨率 层厚 翻转角 采集矩阵 扫描时间 GE 3.0T 25 ms 5.7 ms 1024×1024×240 1.2 mm 20˚ 320×256 3min22s SIEMENS 3.0T 21 ms 3.6 ms 512×512×128 0.9 mm 18˚ 256×197 2min53s Philips 3.0T 18 ms 3.5 ms 512×512×128 1.0 mm 20˚ 308×203 2min22s