Deep learning-based triple-tracer brain PET scanning in a single session: A simulation study using clinical data

Our study demonstrates that the suggested DL model can separate the signals belonging to three different radiotracers from simultaneous triple-tracer PET scans. This method may make multiplex scanning feasible in the clinic, hence reducing the scanning time, radiation hazard and improving patient comfort.

Authors

Habib Zaidi (ORCID: https://orcid.org/0000-0001-7559-5297)
Gregory Mathoux (ORCID: https://orcid.org/0009-0001-4324-8482)
Valentina Garibotto (ORCID: https://orcid.org/0000-0003-2422-698X)
Yiyi Hu
Amirhossein Sanaat (ORCID: https://orcid.org/0000-0001-8437-2060)
Pirazzo Andrade Teixeira Eliluane

Institutions

University of Geneva (CH)
University of Groningen (NL)
University Hospital of Geneva (CH)
Centre d'Imagerie BioMedicale (CH)

Publication Details

Journal: NeuroImage
Published: 2025-05-01
DOI: https://doi.org/10.1016/j.neuroimage.2025.121246
Citations: 2
Primary Topic: Medical Imaging Techniques and Applications
Type: article
Field-Weighted Citation Impact: 2.72

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article

Deep learning-based triple-tracer brain PET scanning in a single session: A simulation study using clinical data

Habib Zaidi, Gregory Mathoux, Valentina Garibotto, Yiyi Hu et al.

May 1, 2025

2 citations

NeuroImage

Medical Imaging Techniques and Applications

2.72

article

Deep learning-based triple-tracer brain PET scanning in a single session: A simulation study using clinical data

Habib Zaidi, Gregory Mathoux, Valentina Garibotto, Yiyi Hu, Amirhossein Sanaat, Pirazzo Andrade Teixeira Eliluane

May 1, 2025article en

2 citations

Abstract

Our study demonstrates that the suggested DL model can separate the signals belonging to three different radiotracers from simultaneous triple-tracer PET scans. This method may make multiplex scanning feasible in the clinic, hence reducing the scanning time, radiation hazard and improving patient comfort.

NeuroImageVol. 313

University of Geneva (CH), University of Groningen (NL), University Hospital of Geneva (CH), Centre d'Imagerie BioMedicale (CH)

Openalex Percentile: Top 11%

Medical Imaging Techniques and Applications

2.72

DOI Open Access PDF OpenAlex

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Deep learning-based triple-tracer brain PET scanning in a single session: A simulation study using clinical data — Habib Zaidi, Gregory Mathoux, et al. · NeuroImage (2025) | TGRS Research Map | TGRS