Ultra–Low-Dose 18F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs

Kevin T. Chen,Enhao Gong,Fabiola Macruz,Junshen Xu,Athanasia Boumis,Mehdi Khalighi,Kathleen L. Poston,Sharon Sha,Michael D. Greicius,Elizabeth C. Mormino,John M. Pauly,Shyam Srinivas,Greg Zaharchuk

Ultra–Low-Dose 18F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs

2019

Kevin T. Chen
Enhao Gong
Fabiola Macruz
Junshen Xu
Athanasia Boumis
Mehdi Khalighi
Kathleen L. Poston
Sharon Sha
Michael D. Greicius
Elizabeth C. Mormino
John M. Pauly
Shyam Srinivas
Greg Zaharchuk

Diagnostic quality amyloid (fluorine 18 [18F]– florbetaben) PET images can be generated using deep learningmethods from data acquired with a markedly reduced radiotracer dose.

Keywords:

Radiology
Deep learning
Amyloid
18F-florbetaben
Artificial intelligence
Medicine
diagnostic quality
ultra low dose
amyloid pet
multi contrast

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