Relative Patlak Plot for Dynamic PET Parametric Imaging Without the Need for Early-time Input Function

2018 ◽  
Author(s):  
Yang Zuo ◽  
Jinyi Qi ◽  
Guobao Wang

AbstractThe Patlak graphical method is widely used in parametric imaging for modeling irreversible radiotracer kinetics in dynamic PET. The net influx rate of radiotracer can be determined from the slope of the Patlak plot. The implementation of the standard Patlak method requires the knowledge of full-time input function from the injection time until the scan end time, which presents a challenge for use in the clinic. This paper proposes a new relative Patlak plot method that does not require early-time input function and therefore can be more efficient for parametric imaging. Theoretical analysis proves that the effect of early-time input function is a constant scaling factor on the Patlak slope estimation. Thus, the parametric image of the slope of the relative Patlak plot is related to the parametric image of standard Patlak slope by a global scaling factor. This theoretical finding has been further demonstrated by computer simulation and real patient data. The study indicates that parametric imaging of the relative Patlak slope can be used as a substitute of parametric imaging of standard Patlak slope for certain clinical tasks such as lesion detection and tumor volume segmentation.

2021 ◽  
Vol 14 (1) ◽  
pp. 418-439
Author(s):  
S. Crisci ◽  
M. Piana ◽  
V. Ruggiero ◽  
M. Scussolini

2015 ◽  
Vol 11 (8) ◽  
pp. 1419-1430 ◽  
Author(s):  
Martín Bertrán ◽  
Natalia Martínez ◽  
Guillermo Carbajal ◽  
Alicia Fernández ◽  
Álvaro Gómez

1999 ◽  
Vol 26 (4) ◽  
pp. 609-615 ◽  
Author(s):  
Jutta Kissel ◽  
Rüdiger E. Port ◽  
Joachim Zaers ◽  
Matthias E. Bellemann ◽  
Ludwig G. Strauss ◽  
...  

2007 ◽  
Vol 21 (7) ◽  
pp. 379-386 ◽  
Author(s):  
Miho Shidahara ◽  
Yoko Ikoma ◽  
Jeff Kershaw ◽  
Yuichi Kimura ◽  
Mika Naganawa ◽  
...  

2002 ◽  
Vol 41 (04) ◽  
pp. 184-190 ◽  
Author(s):  
M. E. Bellemann ◽  
H. Hauser ◽  
J. Doll ◽  
G. Brix

Summary Aim: For kinetic modelling of dynamic PET data, the arterial input function can be determined directly from the PET scans if a large artery is visualized on the images. It was the purpose of this study to experimentally and theoretically determine recovery coefficients for cylinders as a function of the diameter and level of background activity. Methods: The measurements were performed using a phantom with seven cylinder inserts (Ø = 5-46 mm). The cylinders were filled with an aqueous 68Ga solution while the main chamber was filled with a 18F solution in order to obtain a varying concentration ratio between the cylinders and the background due to the different isotope half lives. After iterative image reconstruction, the activity concentrations were measured in the center of the cylinders and the recovery coefficients were calculated as a function of the diameter and the background activity. Based on the imaging properties of the PET system, we also developed a model for the quantitative assessment of recovery coefficients. Results: The functional dependence of the measured recovery data from the cylinder diameter and the concentration ratio is well described by our model. For dynamic PET measurements, the recovery correction must take into account the decreasing concentration ratio between the blood vessel and the surrounding tissue. Under the realized measurement and data analysis conditions, a recovery correction is required for vessels with a diameter of up to 25 mm. Conclusions: Based on the experimentally verified model, the activity concentration in large arteries can be calculated from the measured activity concentration in the blood vessel and the background activity. The presented approach offers the possibility to determine the arterial input function for pharmacokinetic PET studies non-invasively from large arteries (especially the aorta).


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