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Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
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Real-time data-driven motion correction in PET.

Adam Kesner1, C Ross Schmidtlein2, Claudia Kuntner3

  • 1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, 1250 First Avenue, (Box 84), New York, NY, 10065, USA. kesnera@mskcc.org.

EJNMMI Physics
|January 11, 2019
PubMed
Summary
This summary is machine-generated.

Data-driven motion correction (DDMC) in PET imaging offers clinical practicality over traditional methods. Future development aims for real-time DDMC integration, enhancing diagnostic capabilities.

Keywords:
Data-driven gatingData-driven motion correctionDigital innovationPETReal-time

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Area of Science:

  • Medical Physics
  • Data Science
  • Engineering

Background:

  • Positron Emission Tomography (PET) is an evolving diagnostic technology.
  • The digital landscape enables data-driven innovations like data-driven motion correction (DDMC) in PET.
  • Traditional hardware-driven motion correction has limited clinical acceptance.

Discussion:

  • DDMC's ease of use can drive clinical acceptance of motion correction in PET.
  • Integrating DDMC into real-time acquisition frameworks is a critical next step.
  • This integration requires a multidisciplinary approach involving medical physics, engineering, and data science.

Key Insights:

  • DDMC enhances the practicality and potential impact of PET imaging.
  • Real-time DDMC is feasible with modern electronics and computing power.
  • Systems integration is essential for developing real-time DDMC.

Outlook:

  • Real-time DDMC is anticipated in the near future.
  • This advancement will likely accelerate innovation in digital PET imaging.
  • The development of real-time DDMC may pave the way for similar digital innovations.