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Continuous Blood Sampling in Small Animal Positron Emission Tomography/Computed Tomography Enables the Measurement of the Arterial Input Function
Published on: August 8, 2019
A method for generating image-derived input function in quantitative 18F-FDG PET study based on the monotonicity of
Shan Zhou1, Kewei Chen, Eric M Reiman
1Physical Science and Technology College, Zhengzhou University, Zhengzhou, China. shanbc@ihep.ac.cn
Nuclear Medicine Communications
|January 21, 2012
Summary
A new method accurately defines the image-derived input function (IDIF) for brain glucose metabolism PET scans. This approach provides reliable quantification of regional cerebral metabolic rate of glucose.
Area of Science:
- Nuclear Medicine
- Neuroimaging
- Biophysics
Background:
- Accurate quantification of regional cerebral metabolic rate of glucose (rCMRglc) in Positron Emission Tomography (PET) studies is crucial for understanding brain function and disease.
- The accuracy of rCMRglc quantification relies heavily on the precise determination of the input function (IF).
- Traditionally, plasma-derived IF requires invasive arterial blood sampling, posing practical challenges.
Purpose of the Study:
- To introduce and evaluate a novel method for defining the image-derived input function (IDIF).
- To assess the feasibility and accuracy of the proposed IDIF method for rCMRglc quantification in PET studies.
- To compare the results obtained using the IDIF with those derived from a plasma-derived IF.
Main Methods:
- Extraction of brain vasculature voxels based on differing monotonicity of input and output function curves.
- Averaging time activity curves (TACs) from these voxels to obtain an uncorrected vascular TAC.
- Correction of raw TAC for partial volume and spillover effects using an empirical formula, a single blood sample, and brain tissue TAC to generate the IDIF.
- Application of the Patlak approach to calculate net fluoro-2-deoxyglucose (FDG) clearance using both plasma-derived IF and the generated IDIF in 16 patients.
Main Results:
- High correlation (r ≈ 1) between net FDG clearances calculated with the IDIF and plasma-derived IF.
- Excellent comparability (slope ≈ 1, intercept ≈ 0) of net FDG clearances obtained using both input functions.
- The proposed IDIF method demonstrates strong agreement with the gold standard plasma-derived IF.
Conclusions:
- The developed method for generating an image-derived input function is feasible and accurate.
- This IDIF approach offers a reliable, non-invasive alternative for rCMRglc quantification in PET studies.
- The findings support the clinical utility of this method for improved brain metabolism assessment.
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