Research ArticlePhysics/Instrumentation
Zero-Echo-Time and Dixon Deep Pseudo-CT (ZeDD CT): Direct Generation of Pseudo-CT Images for Pelvic PET/MRI Attenuation Correction Using Deep Convolutional Neural Networks with Multiparametric MRI
Andrew P. Leynes, Jaewon Yang, Florian Wiesinger, Sandeep S. Kaushik, Dattesh D. Shanbhag, Youngho Seo, Thomas A. Hope and Peder E.Z. Larson
Journal of Nuclear Medicine May 2018, 59 (5) 852-858; DOI: https://doi.org/10.2967/jnumed.117.198051
Andrew P. Leynes
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
2UC Berkeley–UCSF Graduate Program in Bioengineering, UC Berkeley, Berkeley, California, and UCSF, San Francisco, California
Jaewon Yang
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
Florian Wiesinger
3GE Global Research, Munich, Germany
Sandeep S. Kaushik
4GE Global Research, Bangalore, India; and
Dattesh D. Shanbhag
4GE Global Research, Bangalore, India; and
Youngho Seo
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
2UC Berkeley–UCSF Graduate Program in Bioengineering, UC Berkeley, Berkeley, California, and UCSF, San Francisco, California
Thomas A. Hope
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
5Department of Radiology, San Francisco VA Medical Center, San Francisco, California
Peder E.Z. Larson
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
2UC Berkeley–UCSF Graduate Program in Bioengineering, UC Berkeley, Berkeley, California, and UCSF, San Francisco, California
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Journal of Nuclear Medicine
Vol. 59, Issue 5
May 1, 2018
Zero-Echo-Time and Dixon Deep Pseudo-CT (ZeDD CT): Direct Generation of Pseudo-CT Images for Pelvic PET/MRI Attenuation Correction Using Deep Convolutional Neural Networks with Multiparametric MRI
Andrew P. Leynes, Jaewon Yang, Florian Wiesinger, Sandeep S. Kaushik, Dattesh D. Shanbhag, Youngho Seo, Thomas A. Hope, Peder E.Z. Larson
Journal of Nuclear Medicine May 2018, 59 (5) 852-858; DOI: 10.2967/jnumed.117.198051
Zero-Echo-Time and Dixon Deep Pseudo-CT (ZeDD CT): Direct Generation of Pseudo-CT Images for Pelvic PET/MRI Attenuation Correction Using Deep Convolutional Neural Networks with Multiparametric MRI
Andrew P. Leynes, Jaewon Yang, Florian Wiesinger, Sandeep S. Kaushik, Dattesh D. Shanbhag, Youngho Seo, Thomas A. Hope, Peder E.Z. Larson
Journal of Nuclear Medicine May 2018, 59 (5) 852-858; DOI: 10.2967/jnumed.117.198051
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