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Meeting ReportPhysics, Instrumentation & Data Sciences

Attenuation Correction for Amyloid PET Imaging Using Deep Learning Based on 3D UTE/Multi-Echo Dixon MR images

Kuang Gong, Paul Han, Keith Johnson, Georges El Fakhri, Chao Ma and Quanzheng Li
Journal of Nuclear Medicine May 2020, 61 (supplement 1) 111;
Kuang Gong
1Massachusetts General Hospital Boston MA United States
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Paul Han
1Massachusetts General Hospital Boston MA United States
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Keith Johnson
2MGH Brookline MA United States
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Georges El Fakhri
3Massachusetts General Hospital, Harvard Medical Sc Boston MA United States
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Chao Ma
1Massachusetts General Hospital Boston MA United States
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Quanzheng Li
1Massachusetts General Hospital Boston MA United States
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Article Information

vol. 61 no. supplement 1 111

Published By 
Society of Nuclear Medicine
Print ISSN 
0161-5505
Online ISSN 
2159-662X
History 
  • Published online May 15, 2020.

Copyright & Usage 
© 2020

Author Information

  1. Kuang Gong1,
  2. Paul Han1,
  3. Keith Johnson2,
  4. Georges El Fakhri3,
  5. Chao Ma1 and
  6. Quanzheng Li1
  1. 1Massachusetts General Hospital Boston MA United States
  2. 2MGH Brookline MA United States
  3. 3Massachusetts General Hospital, Harvard Medical Sc Boston MA United States

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Journal of Nuclear Medicine
Vol. 61, Issue supplement 1
May 1, 2020
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Attenuation Correction for Amyloid PET Imaging Using Deep Learning Based on 3D UTE/Multi-Echo Dixon MR images
Kuang Gong, Paul Han, Keith Johnson, Georges El Fakhri, Chao Ma, Quanzheng Li
Journal of Nuclear Medicine May 2020, 61 (supplement 1) 111;

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Attenuation Correction for Amyloid PET Imaging Using Deep Learning Based on 3D UTE/Multi-Echo Dixon MR images
Kuang Gong, Paul Han, Keith Johnson, Georges El Fakhri, Chao Ma, Quanzheng Li
Journal of Nuclear Medicine May 2020, 61 (supplement 1) 111;
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Physics, Instrumentation & Data Sciences

  • Exploration of Multi-objective Optimization with Genetic Algorithms for PET Image Reconstruction
  • AI-based methods for nuclear-medicine imaging: Need for objective task-specific evaluation
  • Ultra-Fast Reconstruction of Short List-Mode PET Data Frames for Real-Time Visualization and Processing
Show more Physics, Instrumentation & Data Sciences

Attenuation, Scatter and Resolution Compensation (PET & SPECT)

  • Data consistency conditions for attenuation map alignment in pinhole cardiac SPECT
  • A novel approach for scatter correction in PET using energy response modelling
  • Strategy to acquire high resolution PET images with Super-Resolution Convolutional Neural Network (SRCNN)
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