Super-resolution image generation for improvement of orbital thin bone segmentation

Abstract

We generate super-resolution orbital bone CT images using 3D SRGAN network to improve the accuracy of segmentation of thin bones with large slice thickness. Our method consists of data preparation and super-resolution thin bone image generation. Experimental results show that the generated super-resolution images using 3D SRGAN are clearly observed in thin bone areas and are more similar to the original high resolution images than other images using bilinear and bicubic interpolations.