Development and validation of a variance model for dynamic PET: uses in fitting kinetic data and optimizing the injected activity.
Julyan, Peter J
AffiliationSchool of Cancer and Enabling Sciences, Wolfson Molecular Imaging Centre, MAHSC, The University of Manchester, M20 3LJ, UK. email@example.com
MetadataShow full item record
AbstractThe 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 (A(0)). The benefits of optimizing A(0) were assessed using a new model of data variance which is formulated as a function of A(0). Seven cancer patients underwent dynamic [(15)O]H(2)O PET scans (32 scans) using a Biograph PET-CT scanner (Siemens), with A(0) 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 A(0), 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 A(0)s and time frames for FBP reconstruction. Patient data showed that relative changes in estimate precision with A(0) 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 (V(T)), respectively. The between-scan variability in the parameter estimates agreed with the estimated precision for small ROIs (<5 mL). An A(0) of 500-700 MBq was near optimal for estimating F and V(T) from abdominal [(15)O]H(2)O scans on this scanner. This optimization improved the precision of parameter estimates for small ROIs (<5 mL), with an injection of 600 MBq reducing the standard error on F by a factor of 1.13 as compared to the injection of 250 MBq, but by the more modest factor of 1.03 as compared to A(0) = 400 MBq.
CitationDevelopment and validation of a variance model for dynamic PET: uses in fitting kinetic data and optimizing the injected activity. 2010, 55 (22):6655-72 Phys Med Biol
JournalPhysics in Medicine and Biology
- Optimization of the injected activity in dynamic 3D PET: a generalized approach using patient-specific NECs as demonstrated by a series of 15O-H2O scans.
- Authors: Walker MD, Matthews JC, Asselin MC, Saleem A, Dickinson C, Charnley N, Julyan PJ, Price PM, Jones T
- Issue date: 2009 Sep
- Optimizing injected dose in clinical PET by accurately modeling the counting-rate response functions specific to individual patient scans.
- Authors: Watson CC, Casey ME, Bendriem B, Carney JP, Townsend DW, Eberl S, Meikle S, Difilippo FP
- Issue date: 2005 Nov
- Error-corrected estimation of regional kinetic parameter histograms directly from pet projections.
- Authors: Pölönen H, Niemi J, Ruotsalainen U
- Issue date: 2010 Dec 21
- A fast nonlinear method for parametric imaging of myocardial perfusion by dynamic (13)N-ammonia PET.
- Authors: Golish SR, Hove JD, Schelbert HR, Gambhir SS
- Issue date: 2001 Jun
- Validation of a Monte Carlo simulation of the Philips Allegro/GEMINI PET systems using GATE.
- Authors: Lamare F, Turzo A, Bizais Y, Le Rest CC, Visvikis D
- Issue date: 2006 Feb 21