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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
Summary
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.
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.
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