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Published on: March 12, 2019
Image derived input functions: effects of motion on tracer kinetic analyses
Jurgen E M Mourik1, Mark Lubberink, Adriaan A Lammertsma
1Department of Nuclear Medicine and PET Research, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands.
Patient motion significantly impacts dynamic PET imaging. Even mild motion can cause large errors in image-derived input functions (IDIFs) and tracer kinetic analysis, underscoring the need for motion correction.
Area of Science:
- Nuclear medicine
- Medical imaging analysis
- Pharmacokinetics
Background:
- Accurate tracer kinetic analysis in dynamic positron emission tomography (PET) relies on precise image-derived input functions (IDIFs).
- Patient motion during PET scans is a common issue in clinical settings.
- Motion can introduce significant artifacts into dynamic PET data, potentially compromising quantitative results.
Purpose of the Study:
- To quantify the impact of motion-affected image-derived input functions (IDIFs) on tracer kinetic analysis outcomes.
- To evaluate how rotational and translational motion affects the accuracy of V(T) calculations.
Main Methods:
- Two simulation studies were conducted, one with high and one with low cortical uptake.
- Rotational and axial translational motion artifacts were introduced into simulated dynamic PET scans.
- Image-derived input functions (IDIFs) were extracted from motion-affected scans and compared to original IDIFs and resulting V(T) values.
Main Results:
- Motion-affected IDIFs showed deviations up to 239% in later frames.
- Patient motion exceeding 6° or 5 mm led to at least 10% changes in V(T) for high cortical uptake tracers.
- Significant discrepancies were observed in tracer kinetic parameters due to motion.
Conclusions:
- The simulated motion levels are representative of those encountered in clinical PET studies.
- Motion significantly hinders the accurate extraction of IDIFs, leading to unreliable kinetic analyses.
- Minimizing and correcting for patient motion is crucial for obtaining accurate quantitative PET data.
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