Low-dose PET/MR image enhancement using deep learning with an MR-based anatomical structure attention mechanism.

Yunqi Zhang^1,2, Hongping Meng¹, Tianen Yu³, Lei Xiang⁴, Muzi Guo⁴, Biao Li^1,2, Tao Zhou³, Min Zhang¹

¹Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

²College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

³School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China.

⁴Subtle Medical Inc., Shanghai, China.

PubMed DOI

Abstract

BACKGROUND: Positron emission tomography (PET) is a vital tool for molecular-level imaging but is limited by high radiation exposure, prompting the development of low-dose PET techniques. However, low-dose PET images often exhibit increased noise, which reduces their diagnostic utility. Magnetic resonance (MR) imaging, renowned for its superior soft tissue contrast and absence of ionizing radiatio…

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