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

Hee Rim Yun; Min Jin Lee; Helen Hong; Kyu Won Shim

doi:10.1117/12.2566253

1 June 2020 Super-resolution image generation for improvement of orbital thin bone segmentation

Hee Rim Yun, Min Jin Lee, Helen Hong, Kyu Won Shim

Proceedings Volume 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020; 115150O (2020) https://doi.org/10.1117/12.2566253
Event: International Workshop on Advanced Imaging Technologies 2020 (IWAIT 2020), 2020, Yogyakarta, Indonesia

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.

Citation Download Citation

Hee Rim Yun, Min Jin Lee, Helen Hong, and Kyu Won Shim "Super-resolution image generation for improvement of orbital thin bone segmentation", Proc. SPIE 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020, 115150O (1 June 2020); https://doi.org/10.1117/12.2566253

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