PET image enhancement using artificial intelligence for better characterization of epilepsy lesions.

Monte-Carlo simulation brain clinical application deblurring deep learning focal cortical dysplasia (FCD) residual network super resolution (SR)

Journal

Frontiers in medicine
ISSN: 2296-858X
Titre abrégé: Front Med (Lausanne)
Pays: Switzerland
ID NLM: 101648047

Informations de publication

Date de publication:
2022
Historique:
received: 12 09 2022
accepted: 21 10 2022
entrez: 5 12 2022
pubmed: 6 12 2022
medline: 6 12 2022
Statut: epublish

Résumé

[ We created 210 numerical brain phantoms (MRI segmented into 9 regions) and assigned 10 different plausible activity values (e.g., GM/WM ratios) resulting in 2100 ground truth high quality (GT-HQ) PET phantoms. With a validated Monte-Carlo PET simulator, we then created 2100 simulated standard quality (S-SQ) [ Compared to S-SQ PET, P-HQ PET improved PNSR, SSIM and RMSE; significatively improved GM RCs (from 0.29 ± 0.03 to 0.79 ± 0.04) and WM RCs (from 0.49 ± 0.03 to 1 ± 0.05); mean COVs were not statistically different. Visual lesion detection improved from 38 to 75%, with average RLA decreasing from 0.83 ± 0.08 to 0.67 ± 0.14. Visual quality of P-HQ clinical PET improved as well as reader confidence. P-HQ PET showed improved image quality compared to S-SQ PET across several objective quantitative metrics and increased detectability of simulated lesions. In addition, the model generalized to clinical data. Further evaluation is required to study generalization of our method and to assess clinical performance in larger cohorts.

Identifiants

pubmed: 36465898
doi: 10.3389/fmed.2022.1042706
pmc: PMC9708713
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1042706

Informations de copyright

Copyright © 2022 Flaus, Deddah, Reilhac, Leiris, Janier, Merida, Grenier, McGinnity, Hammers, Lartizien and Costes.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Anthime Flaus (A)

Department of Nuclear Medicine, Hospices Civils de Lyon, Lyon, France.
Faculté de Médecine Lyon Est, Université Claude Bernard Lyon 1, Lyon, France.
King's College London and Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, INSERM, CREATIS UMR 5220, Lyon, France.
Lyon Neuroscience Research Center, INSERM U1028/CNRS UMR5292, Lyon, France.
CERMEP-Life Imaging, Lyon, France.

Tahya Deddah (T)

CERMEP-Life Imaging, Lyon, France.

Anthonin Reilhac (A)

Brain Health Imaging Centre, Center for Addiction and Mental Health (CAHMS), Toronto, ON, Canada.

Nicolas De Leiris (N)

Departement of Nuclear Medicine, CHU Grenoble Alpes, University Grenoble Alpes, Grenoble, France.
Laboratoire Radiopharmaceutiques Biocliniques, University Grenoble Alpes, INSERM, CHU Grenoble Alpes, Grenoble, France.

Marc Janier (M)

Department of Nuclear Medicine, Hospices Civils de Lyon, Lyon, France.
Faculté de Médecine Lyon Est, Université Claude Bernard Lyon 1, Lyon, France.

Ines Merida (I)

CERMEP-Life Imaging, Lyon, France.

Thomas Grenier (T)

Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, INSERM, CREATIS UMR 5220, Lyon, France.

Colm J McGinnity (CJ)

Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, INSERM, CREATIS UMR 5220, Lyon, France.

Alexander Hammers (A)

King's College London and Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.

Carole Lartizien (C)

Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, INSERM, CREATIS UMR 5220, Lyon, France.

Nicolas Costes (N)

Lyon Neuroscience Research Center, INSERM U1028/CNRS UMR5292, Lyon, France.
CERMEP-Life Imaging, Lyon, France.

Classifications MeSH