Fully Automated, Semantic Segmentation of Whole-Body 18F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence

Lalith Kumar Shiyam Sundar; Josef Yu; Otto Muzik; Oana C. Kulterer; Barbara Fueger; Daria Kifjak; Thomas Nakuz; Hyung Min Shin; Annika Katharina Sima; Daniela Kitzmantl; Ramsey D. Badawi; Lorenzo Nardo; Simon R. Cherry; Benjamin A. Spencer; Marcus Hacker; Thomas Beyer

doi:10.2967/jnumed.122.264063

Research ArticleBasic Science Investigation

Fully Automated, Semantic Segmentation of Whole-Body ¹⁸F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence

Lalith Kumar Shiyam Sundar, Josef Yu, Otto Muzik, Oana C. Kulterer, Barbara Fueger, Daria Kifjak, Thomas Nakuz, Hyung Min Shin, Annika Katharina Sima, Daniela Kitzmantl, Ramsey D. Badawi, Lorenzo Nardo, Simon R. Cherry, Benjamin A. Spencer, Marcus Hacker and Thomas Beyer

Journal of Nuclear Medicine December 2022, 63 (12) 1941-1948; DOI: https://doi.org/10.2967/jnumed.122.264063

Lalith Kumar Shiyam Sundar

1Quantitative Imaging and Medical Physics Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria;

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Josef Yu

1Quantitative Imaging and Medical Physics Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria;

2Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria;

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Otto Muzik

3Department of Pediatrics, Wayne State University School of Medicine, Children’s Hospital of Michigan, Detroit, Michigan;

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Oana C. Kulterer

2Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria;

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Barbara Fueger

2Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria;

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Daria Kifjak

2Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria;

4Department of Radiology, University of Massachusetts Chan Medical School/UMass Memorial Health Care, Worcester, Massachusetts;

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Thomas Nakuz

2Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria;

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Hyung Min Shin

5Division of General Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria; and

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Annika Katharina Sima

2Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria;

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Daniela Kitzmantl

2Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria;

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Ramsey D. Badawi

6Department of Biomedical Engineering and Radiology, University of California–Davis, Davis, California

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Lorenzo Nardo

6Department of Biomedical Engineering and Radiology, University of California–Davis, Davis, California

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Simon R. Cherry

6Department of Biomedical Engineering and Radiology, University of California–Davis, Davis, California

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Benjamin A. Spencer

6Department of Biomedical Engineering and Radiology, University of California–Davis, Davis, California

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Marcus Hacker

2Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria;

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Thomas Beyer

1Quantitative Imaging and Medical Physics Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria;

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Journal of Nuclear Medicine

Vol. 63, Issue 12

December 1, 2022

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Fully Automated, Semantic Segmentation of Whole-Body ¹⁸F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence

Journal of Nuclear Medicine Dec 2022, 63 (12) 1941-1948; DOI: 10.2967/jnumed.122.264063

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Fully Automated, Semantic Segmentation of Whole-Body ¹⁸F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence

Journal of Nuclear Medicine Dec 2022, 63 (12) 1941-1948; DOI: 10.2967/jnumed.122.264063

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Keywords

multiorgan segmentation
total-body PET
systems medicine
artificial neural networks
automated segmentation

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Fully Automated, Semantic Segmentation of Whole-Body ¹⁸F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence

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