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Valerij G Kiselev

Publications and source records attributed to Valerij G Kiselev.

4 recordsLinked to original sources

Effect of impermeable boundaries on diffusion-attenuated MR signal.

The nonlinear dependence between the logarithm of the diffusion weighted signal, lnS, and the b-value, b, has often been interpreted as a manifestation of two physically distinct compartments, resulting in a biexponential form of the signal. This model fits to experimental data, however, has failed to yield realistic compartment sizes, severely jeopardizing the use of DWI to infer structural information on a cellular level. It has been hypothesized that the biexponential behavior can be attributed to the effect of confining boundaries that restrict diffusion in individual physical compartments. This interpretation is based on the analysis of diffusion in the presence of impermeable interfaces for short diffusion times such that the layer in which diffusion is affected by the boundary is thin as compared with the dimensions of the whole compartment. This model system is analyzed from the point of view of the cumulant expansion of the diffusion-weighted signal that results in a Taylor expansion of lnS in powers of b. Termination of this expansion to a polynomial form provides an excellent accuracy for small b-factors, but the series diverges for large b. The convergence of the series is studied, yielding a large range of b-values in which the absolute error of terminating the series at the second term remains smaller than 1% relative to the signal magnitude without diffusion weighting. With this accuracy, the signal in the studied model can be described as lnS approximately -A.bD+B.(bD)2, where the parameters A and B can be expressed in terms of correlation functions of molecular velocity. Fitting of these parameters to the exact signal is more stable than for the three parameters of the biexponential function. This description fails for large b, for which the cumulant expansion diverges. The signal at even larger b-values is proportional to 1/b, 1/b3/2, and 1/b2 in one-, two-, and three-dimensional systems, respectively.

Journal Article↗

Transverse relaxation effect of MRI contrast agents: a crucial issue for quantitative measurements of cerebral perfusion.

Quantitative cerebral perfusion imaging using dynamic susceptibility contrast (DSC) MRI requires the dynamic measurement of changes in contrast agent concentration in cerebral tissue and its feeding artery. In this work the tracer kinetics approach to general tracer-based perfusion imaging is reviewed. In the typical practical setting, measurements of change in transverse relaxation (DeltaR(2)) derived from MR signals are assumed to be substitutes for true concentration measurements. The implications and limitations of this assumption are reviewed in the light of various results obtained in theoretical, simulated, and experimental studies. The mechanisms of R(2) changes in biological media are discussed. These mechanisms operate over different spatial scales and differentially influence gradient-echo (GE) and spin-echo (SE) MRI signals. This differential sensitivity can be used to assess vessel size in the microvasculature. Finally, the need for well controlled experimental data to provide input parameters and/or experimental tests of theoretical models is emphasized.

Brain↗

Is the brain cortex a fractal?

The notion of fractal has been largely used to describe geometrical properties of complex objects in biology and medicine. In the present study the question is addressed whether the human cerebral cortex is self-similar in a statistical sense, which is commonly referred to as being a fractal. A new calculational method is presented, which is volumetric and based on the fast Fourier transform (FFT) of segmented three-dimensional high-resolution magnetic resonance images. The analysis covers a wide range of spatial scales from the size of the whole cortex to the ultimate pixel size. Results obtained in six subjects confirm the fractal nature of the human cerebral cortex down to a spatial scale of 3 mm. The obtained fractal dimension is D = 2.80 +/- 0.05, which is in reasonable agreement with previously reported results. Deployment of FFT enables a simple interpretation of the results and yields a high performance, which is necessary to analyze the entire cortex. Thus the FFT-based analysis of segmented MR images offers a comprehensive approach to study neurodevelopmental and neurodegenerative changes in the fractal geometry of the cerebral cortex.

Algorithms↗

Transverse NMR relaxation as a probe of mesoscopic structure.

Transverse NMR relaxation in a macroscopic sample is shown to be extremely sensitive to the structure of mesoscopic magnetic susceptibility variations. Such a sensitivity is proposed as a novel kind of contrast in the NMR measurements. For suspensions of arbitrary-shaped paramagnetic objects, the transverse relaxation is found in the case of a small dephasing effect of an individual object. Strong relaxation rate dependence on the objects' shape agrees with experiments on whole blood. Demonstrated structure sensitivity is a generic effect that arises in NMR relaxation in porous media, biological systems, as well as in kinetics of diffusion limited reactions.

Diffusion↗