software

This software has been developed for processing of perfusion functions (contrast-agent concentration versus time for a given tissue region of interest, after its intravenous application). These input 1D signals are approximated by curves from their parametric models. Three models are implemented. 1. Lognormal distribution model, based on approximate statistical distribution of the mean transit time of a contrast-agent particle through tissue vasculature, 2. Gamma-variate model, based on compartmental modeling of an arbitrary tissue vaculature, 3. Dual pass gamma-variate function model, describing also the second pass of the contrast-agent bolus which is often visible in the signal. The output is a set of parameters describing each input perfusion function. These parameters are related to tissue type and pathological state and are used in perfusion imaging for diagnosis and therapy assessment in oncological and ischemic disseases. Next to the processing kernel, a graphical user interphase is also implemented.

perfusion imaging, perfusion analysis, lognormal model, gamma-variate model, mean transit time

20. 12. 2010

Ústav biomedicínského inženýrství, FEKT VUT v Brně, Kolejní 4 61200 Brno (E340)

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