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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: 63 (12)
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
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
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
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
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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