首页> Medical image analysis> Turning brain MRI into diagnostic PET: <sup>15</sup>O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder-decoder networks.

Turning brain MRI into diagnostic PET: <sup>15</sup>O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder-decoder networks.

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第一作者： Ramy,Hussein

第一单位： Radiological Sciences Laboratory, Department of Radiology, Stanford University, Stanford, CA 94305, USA. Electronic address: ramyh@stanford.edu.

作者： Ramy,Hussein ^[1] ; David,Shin ^[2] ; Moss Y,Zhao ^[3] ; Jia,Guo ^[4] ; Guido,Davidzon ^[5] ; Gary,Steinberg ^[6] ; Michael,Moseley ^[7] ; Greg,Zaharchuk ^[7]

作者单位： Radiological Sciences Laboratory, Department of Radiology, Stanford University, Stanford, CA 94305, USA. Electronic address: ramyh@stanford.edu. ^[1] Global MR Applications & Workflow, GE Healthcare, Menlo Park, CA 94025, USA. ^[2] Radiological Sciences Laboratory, Department of Radiology, Stanford University, Stanford, CA 94305, USA; Stanford Cardiovascular Institute, Stanford University, Stanford, CA 94305, USA. ^[3] Department of Bioengineering, University of California, Riverside, CA 92521, USA. ^[4] Division of Nuclear Medicine, Department of Radiology, Stanford University, Stanford, CA 94305, USA. ^[5] Department of Neurosurgery, Stanford University, Stanford, CA 94304, USA. ^[6] Radiological Sciences Laboratory, Department of Radiology, Stanford University, Stanford, CA 94305, USA. ^[7]

关键词 Attention mechanisms Cerebrovascular disease Encoder-decoder networks Multi-contrast MRI PET

医学主题词人类(Humans);正电子发射断层显像术(Positron-Emission Tomography);脑(Brain);磁共振成像(Magnetic Resonance Imaging);脑血管循环(Cerebrovascular Circulation);算法(Algorithms)

DOI 10.1016/j.media.2023.103072

PMID 38176356

发布时间 2025-04-02

基金项目

P30 AG066515/AG/NIA NIH HHS/United States R01 EB025220/EB/NIBIB NIH HHS/United States

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