Standard-dose PET image synthesis from low-dose images using a GAN-transformer

Hang Zhao; Peter Young; Jesús Pineda; Anna Hitzel; Fiona Heeman; Jan Axelsson; Lyduine E. Collij; Amirhossein Sanaat; Aida Niñerola Baizan; Andrés Perissinotti; Mark Lubberink; Giovanni Frisoni; Habib Zaidi; Frederik Barkhof; Gill Farrar; Suzanne Baker; Juan Domingo Gispert; Valentina Garibotto; Anna Rieckmann; Joana Pereira; Giovanni G. Volpe; Michael Schöll

doi:10.1117/12.2682088

6 October 2023 Standard-dose PET image synthesis from low-dose images using a GAN-transformer

Hang Zhao, Peter Young, Jesús Pineda, Anna Hitzel, Fiona Heeman, Jan Axelsson, Lyduine E. Collij, Amirhossein Sanaat, Aida Niñerola Baizan, Andrés Perissinotti, Mark Lubberink, Giovanni Frisoni, Habib Zaidi, Frederik Barkhof, Gill Farrar, Suzanne Baker, Juan Domingo Gispert, Valentina Garibotto, Anna Rieckmann, Joana Pereira, Giovanni G. Volpe, Michael Schöll

Author Affiliations +

Proceedings Volume PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023; PC126551B (2023) https://doi.org/10.1117/12.2682088
Event: SPIE Nanoscience + Engineering, 2023, San Diego, California, United States

Conference Poster

Abstract

Amyloid-beta positron emission tomography (PET) is used for the diagnosis of Alzheimer’s disease (AD). However, the inherent radiation of radioactive tracers used for PET is potentially harmful to the human body. In this study, we present a deep-learning framework for generating high-quality standard-dose PET brain images from scans that have a simulated reduced injected dose of 12.5% of the standard injected dose, thus reducing radiation exposure without compromising image quality. This novel approach achieves remarkable similarity to full-dose images in both visual and quantitative aspects. Our method offers the potential of enabling safer and more accessible PET imaging for early Alzheimer’s disease detection.

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Hang Zhao, Peter Young, Jesús Pineda, Anna Hitzel, Fiona Heeman, Jan Axelsson, Lyduine E. Collij, Amirhossein Sanaat, Aida Niñerola Baizan, Andrés Perissinotti, Mark Lubberink, Giovanni Frisoni, Habib Zaidi, Frederik Barkhof, Gill Farrar, Suzanne Baker, Juan Domingo Gispert, Valentina Garibotto, Anna Rieckmann, Joana Pereira, Giovanni G. Volpe, and Michael Schöll "Standard-dose PET image synthesis from low-dose images using a GAN-transformer", Proc. SPIE PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023, PC126551B (6 October 2023); https://doi.org/10.1117/12.2682088

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