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Nonlinearity correction of brain perfusion SPECT based on permeability-surface area product model
T Tsuchida1, Y Yonekura, S Nishizawa
1Department of Nuclear Medicine, Kyoto University Faculty of Medicine, Japan.
Summary
The permeability-surface area (PS) model corrects nonlinear brain perfusion SPECT imaging. This method improves accuracy for tracers like 123I-IMP, 99mTc-HMPAO, and 99mTc-ECD, enhancing cerebral blood flow measurements.
Area of Science:
- Nuclear Medicine
- Cerebrovascular Imaging
- Quantitative Perfusion
Background:
- Cerebral perfusion tracers often underestimate cerebral blood flow at high flow rates.
- A permeability-surface area (PS) model has been proposed to address this nonlinear relationship.
Purpose of the Study:
- To evaluate the feasibility of the PS model for correcting nonlinearities in brain perfusion SPECT imaging.
- To assess the accuracy of SPECT tracers 123I-IMP, 99mTc-HMPAO, and 99mTc-ECD using the PS model.
Main Methods:
- Compared radioactivity ratios (C/Cr) from SPECT with quantitative cerebral blood flow (rCBF) from PET in 43 patients.
- Estimated PS model correction coefficients using the least squares method.
- Corrected SPECT data using the estimated coefficients.
Main Results:
- Estimated PS values varied among tracers: IMP (116 ml/min/100 g), ECD (66 ml/min/100 g), and HMPAO (46 ml/min/100 g).
- Corrected SPECT data showed an excellent linear correlation with rCBF, approaching unity.
- The PS model effectively corrected the nonlinearity in tracer uptake.
Conclusions:
- The PS model is a viable method for nonlinearity correction in brain perfusion SPECT.
- This approach enhances the accuracy of SPECT for measuring cerebral blood flow, particularly in high-flow conditions.