Masseter Muscle Segmentation from Cone-Beam CT Images using Generative Adversarial Network

• Published in: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) pp. 1188 - 1192
• Main Authors: Zhang, Yungeng, Pei, Yuru, Qin, Haifang, Guo, Yuke, Ma, Gengyu, Xu, Tianmin, Zha, Hongbin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2019
• Subjects: CBCT images; domain adaptation; Feature extraction; generative adversarial network; Generators; Image generation; Image segmentation; joint embedding; Labeling; Muscle segmentation; Muscles; Shape; structure-aware shape preservation

Masseter segmentation from noisy and blurry cone-beam CT (CBCT) images is a challenging issue considering the device-specific image artefacts. In this paper, we propose a novel approach for noise reduction and masseter muscle segmentation from CBCT images using a generative adversarial network (GAN)...