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Research ArticleBasic Science Investigation

Deep Learning–Based Attenuation Correction Improves Diagnostic Accuracy of Cardiac SPECT

Aakash D. Shanbhag, Robert J.H. Miller, Konrad Pieszko, Mark Lemley, Paul Kavanagh, Attila Feher, Edward J. Miller, Albert J. Sinusas, Philipp A. Kaufmann, Donghee Han, Cathleen Huang, Joanna X. Liang, Daniel S. Berman, Damini Dey and Piotr J. Slomka
Journal of Nuclear Medicine March 2023, 64 (3) 472-478; DOI: https://doi.org/10.2967/jnumed.122.264429
Aakash D. Shanbhag
1Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars–Sinai Medical Center, Los Angeles, California;
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Robert J.H. Miller
2Department of Cardiac Sciences, University of Calgary, Calgary, Alberta, Canada;
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Konrad Pieszko
3Department of Interventional Cardiology and Cardiac Surgery, University of Zielona Góra, Zielona Góra, Poland;
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Mark Lemley
1Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars–Sinai Medical Center, Los Angeles, California;
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Paul Kavanagh
1Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars–Sinai Medical Center, Los Angeles, California;
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Attila Feher
4Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut; and
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Edward J. Miller
4Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut; and
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Albert J. Sinusas
4Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut; and
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Philipp A. Kaufmann
5Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
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Donghee Han
1Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars–Sinai Medical Center, Los Angeles, California;
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Cathleen Huang
1Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars–Sinai Medical Center, Los Angeles, California;
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Joanna X. Liang
1Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars–Sinai Medical Center, Los Angeles, California;
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Daniel S. Berman
1Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars–Sinai Medical Center, Los Angeles, California;
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Damini Dey
1Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars–Sinai Medical Center, Los Angeles, California;
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Piotr J. Slomka
1Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars–Sinai Medical Center, Los Angeles, California;
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Journal of Nuclear Medicine: 64 (3)
Journal of Nuclear Medicine
Vol. 64, Issue 3
March 1, 2023
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Deep Learning–Based Attenuation Correction Improves Diagnostic Accuracy of Cardiac SPECT
Aakash D. Shanbhag, Robert J.H. Miller, Konrad Pieszko, Mark Lemley, Paul Kavanagh, Attila Feher, Edward J. Miller, Albert J. Sinusas, Philipp A. Kaufmann, Donghee Han, Cathleen Huang, Joanna X. Liang, Daniel S. Berman, Damini Dey, Piotr J. Slomka
Journal of Nuclear Medicine Mar 2023, 64 (3) 472-478; DOI: 10.2967/jnumed.122.264429

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Deep Learning–Based Attenuation Correction Improves Diagnostic Accuracy of Cardiac SPECT
Aakash D. Shanbhag, Robert J.H. Miller, Konrad Pieszko, Mark Lemley, Paul Kavanagh, Attila Feher, Edward J. Miller, Albert J. Sinusas, Philipp A. Kaufmann, Donghee Han, Cathleen Huang, Joanna X. Liang, Daniel S. Berman, Damini Dey, Piotr J. Slomka
Journal of Nuclear Medicine Mar 2023, 64 (3) 472-478; DOI: 10.2967/jnumed.122.264429
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Keywords

  • attenuation correction
  • SPECT
  • myocardial perfusion imaging
  • deep learning
  • artificial intelligence
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