Magnetic resonance imaging verification of a multi-compartment perfusion model for a chromatography gel phantom

A model for hepatic fibrosis: the competing effects of cell loss and iron on shortened modified Look-Locker inversion recoveryT1(shMOLLI-T1) in the liver

“…A limitation of this study is a lack of independent validation of the model. Phantom validation is challenging: no general multicompartment tissue phantom exists for MR, although some work has been carried out on multicompartment perfusion models . Similarly, developing phantom models of iron accumulation in the liver is not straightforward, due to the complex dependence of R2 on the clustering of ferritin in cells.…”

Radiotracer medical imaging technologies applied to environmental remediation systems

“…Experimental studies can be used with theoretical and numerical models. A series of three-dimensional snapshots of bolus propagation through the system will be used to extract information about the local flow properties using simple compartment model methods similar to those described in [6].…”

Extraction and validation of correlation lengths from interstitial velocity fields using diffusion-weighted MRI

“…Proton-MRI diffusion-weighted methods [8,12,13] have also been used to quantify perfusion in the microcirculation, but the interpretation of results is hindered by the complexity of the underlying coupled intra-and extravascular transport processes [6,14,15]. Packed bed phantoms, on the other hand, afford the experimenter the ability to isolate the contribution to the MRI signal from the various compartments, including the one corresponding to immobile water [16]. Significant advances in the quantifying mass transport in realistic models of living tissue have been recently made by studying the effect of the interfacial susceptibility differences [17] and of interfacial transport on the pulsed-gradient spin-echo signal [18].…”

“…Previously, solid porous matrices have served as diffusion and perfusion phantoms for the investigation of MRI methods [12,13,15,16]. This study differs from others in that it exploits the variation of the apparent dispersion coefficient with dispersion evolution time (a parameter controlled by the MRI operator) in order to extract coherence length information related to the Eulerian (fixed) interstitial flow field.…”