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Journal of Nuclear Medicine

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Meeting ReportInstrumentation & Data Analysis Track

Identifying and correcting organ settling motion during Tc-99m cardiac SPECT/CT perfusion imaging.

P. Hendrik Pretorius, Karen Johnson and Michael King
Journal of Nuclear Medicine May 2017, 58 (supplement 1) 25;
P. Hendrik Pretorius
1Dept. of Radiology, Div. of Nuclear Medicine Univ. of Mass. Medical School Worcester MA United States
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Karen Johnson
1Dept. of Radiology, Div. of Nuclear Medicine Univ. of Mass. Medical School Worcester MA United States
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Michael King
1Dept. of Radiology, Div. of Nuclear Medicine Univ. of Mass. Medical School Worcester MA United States
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Article Information

vol. 58 no. supplement 1 25

Published By 
Society of Nuclear Medicine
Print ISSN 
0161-5505
Online ISSN 
2159-662X
History 
  • Published online May 24, 2017.

Copyright & Usage 
© 2017

Author Information

  1. P. Hendrik Pretorius1,
  2. Karen Johnson1 and
  3. Michael King1
  1. 1Dept. of Radiology, Div. of Nuclear Medicine Univ. of Mass. Medical School Worcester MA United States

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Journal of Nuclear Medicine
Vol. 58, Issue supplement 1
May 1, 2017
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Identifying and correcting organ settling motion during Tc-99m cardiac SPECT/CT perfusion imaging.
P. Hendrik Pretorius, Karen Johnson, Michael King
Journal of Nuclear Medicine May 2017, 58 (supplement 1) 25;

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Identifying and correcting organ settling motion during Tc-99m cardiac SPECT/CT perfusion imaging.
P. Hendrik Pretorius, Karen Johnson, Michael King
Journal of Nuclear Medicine May 2017, 58 (supplement 1) 25;
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Instrumentation & Data Analysis Track

  • Deep Learning Based Kidney Segmentation for Glomerular Filtration Rate Measurement Using Quantitative SPECT/CT
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  • Preclinical validation of a single-scan rest/stress imaging technique for 13NH3 cardiac perfusion studies
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INTEGRATED SESSION: Cardiac SPECT

  • Weight-based dosing method for consistent image noise levels in dedicated cardiac SPECT
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