#DeepLearning enables whole PET segmentation with synthetic MR guidance. #MedicalImaging

The study titled “Synthetic MR-guided whole PET segmentation via deep learning” was authored by Wenbo Li, Zhenxing Huang, Yunlong Gao, Lulu Zhang, Yaping Wu, Jianmin Yuan, Yang Yang, Yan Zhang, Yongfeng Yang, Hairong Zheng, Dong Liang, Meiyun Wang, and Zhanli Hu. It was published in the Journal of Nuclear Medicine in June 2024, Volume 65, Issue 2, on pages 241410. The research focuses on using deep learning to segment PET images guided by synthetic MR images. This approach aims to improve the accuracy and efficiency of whole PET image segmentation.

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Source link: https://jnm.snmjournals.org/content/65/supplement_2/241410