Dopaminergic PET to SPECT domain adaptation: a cycle GAN translation approach

CycleGAN generated synthetic SPECT images visually indistinguishable from real ones and retained disease-specific information, demonstrating the feasibility of translating [<sup>11</sup>C]CFT PET to [<sup>123</sup>I]FP-CIT SPECT. This cross-modality synthesis could enhance further AI classification accuracy, supporting the diagnosis of PD and APS.

Authors

Institutions

Publication Details

Journal
European Journal of Nuclear Medicine and Molecular Imaging
Published
2024-11-19
DOI
https://doi.org/10.1007/s00259-024-06961-x
Citations
13
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
4.80

Funders

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article

Dopaminergic PET to SPECT domain adaptation: a cycle GAN translation approach

Qian Xu, Leonor Lopes, Bruce Spottiswoode, Rachid Fahmi et al.
13 citations
European Journal of Nuclear Medicine and Molecular Imaging
Parkinson's Disease Mechanisms and Treatments
4.80
article

Dopaminergic PET to SPECT domain adaptation: a cycle GAN translation approach

Qian Xu, Leonor Lopes, Bruce Spottiswoode, Rachid Fahmi, Chuantao Zuo, Axel Rominger, Korbinian Krieger, Ahmed A. Soliman, Ralph Buchert, Matthias Brendel, Fangyang Jiao, Jingjie Ge, Ping Wu, Kuangyu Shi, Thomas Pyka, Claudio L. Bassetti, Yihui Guan, Jimin Hong, Song Xue
article en
13 citations

Abstract

CycleGAN generated synthetic SPECT images visually indistinguishable from real ones and retained disease-specific information, demonstrating the feasibility of translating [<sup>11</sup>C]CFT PET to [<sup>123</sup>I]FP-CIT SPECT. This cross-modality synthesis could enhance further AI classification accuracy, supporting the diagnosis of PD and APS.

European Journal of Nuclear Medicine and Molecular ImagingVol. 52(3)
University of Bern (CH), Universität Hamburg (DE), Fudan University (CN), University Hospital of Bern (CH), German Center for Neurodegenerative Diseases (DE), LMU Klinikum (DE), University Medical Center Hamburg-Eppendorf (DE), Munich Cluster for Systems Neurology (DE), Huashan Hospital (CN), Technical University of Munich (DE), Medical University of Vienna (AT), Ludwig-Maximilians-Universität München (DE)
National Science Foundation, Michael J. Fox Foundation for Parkinson's Research, University of Bern, Jacques und Gloria Gossweiler-Stiftung, Deutsche Forschungsgemeinschaft, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Parkinson Schweiz
Openalex Percentile: Top 4%
Parkinson's Disease Mechanisms and Treatments
4.80
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