Voxulus

Pharmacokinetic Modeling

VOXULUS is a pharmacokinetic modeling research software, which allows you to obtain quantitative parameters from dynamic imaging data. The available models support your research in many areas, including studies of metabolic processes, hypoxia, cell proliferation, perfusion and receptor binding studies.
Key features of the VOXULUS Pharmacokinetic research modeling software include:

• efficient computation of parametric maps based on fully analytical mathematical solution
• voxel-wise and regional parameter estimation
• statistical analysis of modeling results, correlation plots and histograms.
• full control over model parameters setup
• flexible combination of models for input and target function
• possibility to define your own analysis protocols

Available compartment models include:

• Generic 1 and 2-tissue compartments
• Blood flow models with 1 and 2-tissue compartments
• FMISO/FAZA 2 and 3-tissue compartments
• Lammertsma and simplified Lammertsma reference tissue models
• Mono-exponential ADC model

Download the Voxulus flyer

Dynamic PET data and Time-Activity-Curves for the target and input function region
Compartment model setup window
Parametric map calculated by fitting the compartment model to the data
Statistical analysis of the parameter results (scatter plot and histogram)

Images
Videos

Images

Dynamic PET data and Time-Activity-Curves for the target and input function region
Compartment model setup window
Parametric map calculated by fitting the compartment model to the data
Statistical analysis of the parameter results (scatter plot and histogram)

Publications

Image-guided PO2 probe measurements correlated with parametric images derived from 18F-fluoromisonidazole small-animal PET data in rats.

Pharmacokinetic analysis of hypoxia (18)F-fluoromisonidazole dynamic PET in head and neck cancer.

Evaluation of a compartmental model for estimating tumor hypoxia via FMISO dynamic PET imaging.

The quantification of dynamic FET PET imaging and correlation with the clinical outcome in patients with glioblastoma.

Bartlett RM, Beattie BJ, Naryanan M, Georgi JC, Chen Q, Carlin SD, Roble G, Zanzonico PB, Gonen M, O'Donoghue J, Fischer A, Humm JL. J.
Nucl. Med, Volume 53, Issue 10, October 2012, Pages 1608-1615

Wang W, Lee NY, Georgi JC, Narayanan M, Guillem J, Schöder H, Humm JL. J.
Nucl. Med, Volume 51, Issue 1, January 2010, Pages 37-45

Wang W, Georgi JC, Nehmeh SA, Narayanan M, Paulus T, Bal M, O'Donoghue J, Zanzonico PB, Schmidtlein CR, Lee NY, Humm JL.
Phys. Med. Biol, Volume 21, Issue 54, 21 May 2009, Pages 3083-3099

Thiele F, Ehmer J, Piroth MD, Eble MJ, Coenen HH, Kaiser HJ, Schaefer WM, Buell U, Boy C.
Phys. Med. Biol, Volume 54, Issue 18, 2009, Pagea 5525-5539

Publications continued

Evaluation of non-uniform weighting in non-linear regression for pharmacokinetic neuroreceptor modelling.

The simplified reference tissue model for SPECT/PET brain receptor studies. Interpretation of its parameters.

Ecstasy-induced reduction of the availability of the brain serotonin transporter as revealed by [11C](+)McN5652-PET and the multi-linear reference tissue model: loss of transporters or artifact of tracer kinetic modelling?

Thiele F, Buchert R.
Nucl. Med. Commun, Volume 29, Issue 2, February 2008

Buchert R, Thiele F. Nuklearmedizin, Volume 47, Issue 4, 2008, Pages 167-174

Buchert R, Thiele F, Thomasius R, Wilke F, Petersen K, Brenner W, Mester J, Spies L, Clausen M. J. Psychopharmacol, Volume 21, August 2007, Pages 628-634

Caution: Imalytics and its modules are for research purposes only. Not for patient diagnosis or patient treatment planning.

Voxulus

Pharmacokinetic Modeling

Dynamic PET data and Time-Activity-Curves for the target and input function region

Compartment model setup window

Parametric map calculated by fitting the compartment model to the data

Statistical analysis of the parameter results (scatter plot and histogram)

Publications

Publications continued