Abstract
We present a novel approach to synthesise high-resolution isotropic 3D abdominal MR images, from anisotropic 3D images in an unpaired fashion. Using a modified CycleGAN architecture with a gradient mapping loss, we leverage disjoint patches from the high-resolution (in-plane) data of an anisotropic volume to enforce the network generator to increase the resolution of the low-resolution (through-plane) slices. This will enable accelerated whole-abdomen scanning with high-resolution isotropic images within short breath-hold times.
Abstract (translated)
我们提出了一种新颖的合成高分辨率 isotropic 3D 腹部MRI图像的方法,该方法从非配对的anisotropic 3D图像中合成。使用一种修改的循环生成对抗网络(CycleGAN)架构,利用anisotropic volume的高分辨率(平面)数据中的分割块来强制网络生成器增加低分辨率(穿过平面)切片的分辨率。这将在简短的呼吸控制时间内加速整个腹部扫描,并使用高分辨率 isotropic 图像进行快速检查。
URL
https://arxiv.org/abs/2303.11831
