Development and validation of a variance model for dynamic PET: Uses in fitting kinetic data and optimizing the injected activity

Peter Julyan; M. D. Walker; J. C. Matthews; M. C. Asselin; C. C. Watson; A. Saleem; C. Dickinson; N. Charnley; P. J. Julyan; P. M. Price; T. Jones

doi:10.1088/0031-9155/55/22/005

Development and validation of a variance model for dynamic PET: Uses in fitting kinetic data and optimizing the injected activity

Peter Julyan, M. D. Walker, J. C. Matthews, M. C. Asselin, C. C. Watson, A. Saleem, C. Dickinson, N. Charnley, P. J. Julyan, P. M. Price, T. Jones

Research output: Contribution to journal › Article › peer-review

Abstract

The precision of biological parameter estimates derived from dynamic PET data can be limited by the number of acquired coincidence events (prompts and randoms). These numbers are affected by the injected activity (A0). The benefits of optimizing A0 were assessed using a new model of data variance which is formulated as a function of A0. Seven cancer patients underwent dynamic [15O]H2O PET scans (32 scans) using a Biograph PETCT scanner (Siemens), with A0 varied (142-839 MBq). These data were combined with simulations to (1) determine the accuracy of the new variance model, (2) estimate the improvements in parameter estimate precision gained by optimizing A0, and (3) examine changes in precision for different size regions of interest (ROIs). The new variance model provided a good estimate of the relative variance in dynamic PET data across a wide range of A0s and time frames for FBP reconstruction. Patient data showed that relative changes in estimate precision with A0 were in reasonable agreement with the changes predicted by the model: Pearson's correlation coefficients were 0.73 and 0.62 for perfusion (F) and the volume of distribution (VT), respectively. The between-scan variability in the parameter estimates agreed with the estimated precision for small ROIs (

Original language	English
Pages (from-to)	6655-6672
Number of pages	17
Journal	Physics in Medicine and Biology
Volume	55
Issue number	22
DOIs	https://doi.org/10.1088/0031-9155/55/22/005
Publication status	Published - 21 Nov 2010

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Julyan, P., Walker, M. D., Matthews, J. C., Asselin, M. C., Watson, C. C., Saleem, A., Dickinson, C., Charnley, N., Julyan, P. J., Price, P. M., & Jones, T. (2010). Development and validation of a variance model for dynamic PET: Uses in fitting kinetic data and optimizing the injected activity. Physics in Medicine and Biology, 55(22), 6655-6672. https://doi.org/10.1088/0031-9155/55/22/005

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title = "Development and validation of a variance model for dynamic PET: Uses in fitting kinetic data and optimizing the injected activity",

abstract = "The precision of biological parameter estimates derived from dynamic PET data can be limited by the number of acquired coincidence events (prompts and randoms). These numbers are affected by the injected activity (A0). The benefits of optimizing A0 were assessed using a new model of data variance which is formulated as a function of A0. Seven cancer patients underwent dynamic [15O]H2O PET scans (32 scans) using a Biograph PETCT scanner (Siemens), with A0 varied (142-839 MBq). These data were combined with simulations to (1) determine the accuracy of the new variance model, (2) estimate the improvements in parameter estimate precision gained by optimizing A0, and (3) examine changes in precision for different size regions of interest (ROIs). The new variance model provided a good estimate of the relative variance in dynamic PET data across a wide range of A0s and time frames for FBP reconstruction. Patient data showed that relative changes in estimate precision with A0 were in reasonable agreement with the changes predicted by the model: Pearson's correlation coefficients were 0.73 and 0.62 for perfusion (F) and the volume of distribution (VT), respectively. The between-scan variability in the parameter estimates agreed with the estimated precision for small ROIs (",

author = "Peter Julyan and Walker, {M. D.} and Matthews, {J. C.} and Asselin, {M. C.} and Watson, {C. C.} and A. Saleem and C. Dickinson and N. Charnley and Julyan, {P. J.} and Price, {P. M.} and T. Jones",

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Julyan, P, Walker, MD, Matthews, JC , Asselin, MC, Watson, CC, Saleem, A, Dickinson, C, Charnley, N, Julyan, PJ, Price, PM & Jones, T 2010, 'Development and validation of a variance model for dynamic PET: Uses in fitting kinetic data and optimizing the injected activity', Physics in Medicine and Biology, vol. 55, no. 22, pp. 6655-6672. https://doi.org/10.1088/0031-9155/55/22/005

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T1 - Development and validation of a variance model for dynamic PET: Uses in fitting kinetic data and optimizing the injected activity

AU - Julyan, Peter

AU - Walker, M. D.

AU - Matthews, J. C.

AU - Asselin, M. C.

AU - Watson, C. C.

AU - Saleem, A.

AU - Dickinson, C.

AU - Charnley, N.

AU - Julyan, P. J.

AU - Price, P. M.

AU - Jones, T.

PY - 2010/11/21

Y1 - 2010/11/21

N2 - The precision of biological parameter estimates derived from dynamic PET data can be limited by the number of acquired coincidence events (prompts and randoms). These numbers are affected by the injected activity (A0). The benefits of optimizing A0 were assessed using a new model of data variance which is formulated as a function of A0. Seven cancer patients underwent dynamic [15O]H2O PET scans (32 scans) using a Biograph PETCT scanner (Siemens), with A0 varied (142-839 MBq). These data were combined with simulations to (1) determine the accuracy of the new variance model, (2) estimate the improvements in parameter estimate precision gained by optimizing A0, and (3) examine changes in precision for different size regions of interest (ROIs). The new variance model provided a good estimate of the relative variance in dynamic PET data across a wide range of A0s and time frames for FBP reconstruction. Patient data showed that relative changes in estimate precision with A0 were in reasonable agreement with the changes predicted by the model: Pearson's correlation coefficients were 0.73 and 0.62 for perfusion (F) and the volume of distribution (VT), respectively. The between-scan variability in the parameter estimates agreed with the estimated precision for small ROIs (

AB - The precision of biological parameter estimates derived from dynamic PET data can be limited by the number of acquired coincidence events (prompts and randoms). These numbers are affected by the injected activity (A0). The benefits of optimizing A0 were assessed using a new model of data variance which is formulated as a function of A0. Seven cancer patients underwent dynamic [15O]H2O PET scans (32 scans) using a Biograph PETCT scanner (Siemens), with A0 varied (142-839 MBq). These data were combined with simulations to (1) determine the accuracy of the new variance model, (2) estimate the improvements in parameter estimate precision gained by optimizing A0, and (3) examine changes in precision for different size regions of interest (ROIs). The new variance model provided a good estimate of the relative variance in dynamic PET data across a wide range of A0s and time frames for FBP reconstruction. Patient data showed that relative changes in estimate precision with A0 were in reasonable agreement with the changes predicted by the model: Pearson's correlation coefficients were 0.73 and 0.62 for perfusion (F) and the volume of distribution (VT), respectively. The between-scan variability in the parameter estimates agreed with the estimated precision for small ROIs (

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SN - 0031-9155

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SP - 6655

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JO - Physics in Medicine and Biology

JF - Physics in Medicine and Biology

IS - 22

ER -

Development and validation of a variance model for dynamic PET: Uses in fitting kinetic data and optimizing the injected activity

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