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PubMed1993

A physiologically based pharmacokinetic model for 2,3,7,8-tetrabromodibenzo-p-dioxin (TBDD) in the rat: tissue distribution and CYP1A induction.

Biologically based models serve as valuable tools for integration of mechanistic pharmacokinetic data by their explicit definition of important determinants of chemical disposition. The objective of the present work was to develop a physiologically based pharmacokinetic model to describe the disposition and enzyme induction properties of 2,3,7,8-tetrabromodibenzo-p-dioxin (TBDD). The TBDD model, which was based on models previously developed for 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), incorporated: ternary interactions between TBDD, the Ah receptor, and specific DNA-binding sites; induction of a TBDD-binding protein specific to the liver; and diffusion-limited tissue uptake. In the model for TBDD, CYP1A2, which had been measured directly by radioimmunoassay, was assumed to be the hepatic binding protein. The model employed physiologic parameters based on recent data in unanesthetized rats, growing tissue compartments, transluminal excretion of parent TBDD via the gut into the feces, and a separate skin compartment. The model was developed using tissue distribution and excretion data following a single intravenous dose of 1 nmol [3H]TBDD per kilogram. The TBDD model was then used unchanged to analyze several experimental data sets illustrating the time, dose, and route of exposure dependency of TBDD disposition. The model successfully described the dose-dependent tissue distribution of [3H]TBDD following intravenous and oral administration and following a single dermal dose. These studies show that diffusional clearance from blood to tissue was slower for skin than for fat (PAsk approximately 0.1 PAf). When compared with TCDD: (i) TBDD had a higher fat partition coefficient (Pf = 1000 vs 400) and a lower diffusional clearance into fat (PAf = 0.1 vs 0.2) than TCDD; (ii) the binding affinity of CYP1A2 for TBDD was slightly lower than that for TCDD (9.0 vs 6.5 nM); and (iii) TBDD exhibited a slightly greater rate of metabolic elimination (2.0 vs 1.65). Small differences were noted in DNA binding parameters derived for the induction of CYP1A1 and CYP1A2 for TBDD versus TCDD. With minor modifications, the biologically based model for TCDD accurately described the behavior of the brominated congener. The present model, which relied on measured values of CYP1A2 and specified CYP1A2 as the hepatic dioxin binding species, successfully describes the hepatic disposition of TBDD, providing further evidence that CYP1A2 is the primary hepatic binding species in the rat.

Administration, Oral↗
PubMed2005

Thermo-kinetics study of laser-induced desorption of self-assembled monolayers from gold: case of laser micropatterning.

Laser-induced desorption of self-assembled monolayers (SAMs) from gold surfaces within context of the direct laser patterning methodology was investigated through combining results of a heat diffusion thermal model with desorption kinetics of alkanethiol SAMs. It was found that contrast plots of experimental scanning electron microscopy (SEM) images, which are correlated to surface coverage of SAMs desorbed after laser irradiation, agreed with the theoretically predicted surface composition of SAMs. The surface composition of SAM was then interpreted in terms of the wetting property of the resulting surface. The effect of incident laser beam power and size on the final spatial coverage of SAMs on the surface and feature sizes was investigated both experimentally and by modeling. Theoretical modeling and experimental evidence showed that the resulting feature sizes are wider when the surface is heated by a laser of higher power. Increasing the laser beam size results in broadening of feature sizes. Considering the correlation of the theoretical and experimental results, we concluded that the feature sizes are controllable in a predictable way (using the presented thermal-kinetics model) through varying laser beam power and beam size.

Journal Article↗
PubMed1998

Absorption of solar radiation by an ellipsoid sensor simulated the human body.

Assessment of heat gain in man caused by solar radiation is one of the most important problems in research of the human heat balance outdoors. The purpose of the present study was to investigate a new method for estimation of solar heat income. Absorption of short wave radiation (direct, diffuse and reflected) was measured with an ellipsoid sensor representing a simple, physical model of man. Measurements were performed in climatic chamber with the use of an iodide CSI solar lamp. The absorbed quantity of solar radiation varied as a result of sun altitude as well as of a colour and insulation of fabric covering the ellipsoid sensor. The new coefficients derived from our investigations for estimating doses of absorbed solar radiation should be applicable for a standing man. They correlate better with mean skin temperature observed on subjects outdoor than previous results obtained based on a cylinder as an analogue model of man. The ellipsoid sensor covered by a black fabric absorbed about 6 times more of solar radiation than when covered by a white textile.

Absorption↗
PubMed2003

Characterization and propagation of uncertainty in diffusion-weighted MR imaging.

A fully probabilistic framework is presented for estimating local probability density functions on parameters of interest in a model of diffusion. This technique is applied to the estimation of parameters in the diffusion tensor model, and also to a simple partial volume model of diffusion. In both cases the parameters of interest include parameters defining local fiber direction. A technique is then presented for using these density functions to estimate global connectivity (i.e., the probability of the existence of a connection through the data field, between any two distant points), allowing for the quantification of belief in tractography results. This technique is then applied to the estimation of the cortical connectivity of the human thalamus. The resulting connectivity distributions correspond well with predictions from invasive tracer methods in nonhuman primate.

Algorithms↗
PubMed2005

Application of the RICEWQ-VADOFT model for simulating the environmental fate of pretilachlor in rice paddies.

No validated models in Europe are capable of simulating the environmental fate of pesticides under the specific conditions of rice fields. Rice water quality--vadose zone flow and transport (RICEWQ-VADOFT) is a model developed from the coupling of a surface runoff model (RICEWQ) and a vadose zone flow and transport model (VADOFT) for determining predicted environmental concentrations in paddy water and sediment, runoff, and groundwater. This study is intended to evaluate the capability of this model to simulate effectively the environmental fate of the herbicide pretilachlor in the paddy environment. A two-year field study conducted in a representative rice-cultivated area of northern Italy provided measured concentrations of pretilachlor in paddy water and sediment and also a limited number of observations on runoff losses. The model successfully predicted the water balance in the paddy field in both years. After limited calibration, the model predicted the fate of pretilachlor in paddy water and sediment with high accuracy. Agreement between predicted and measured concentrations of pretilachlor in both years was assessed statistically using several statistical indicators. For example, modeling efficiency (EF) values of 0.867 to 0.935 and 0.702 to 0.718 in paddy water and sediment, respectively, document the strong agreement between predicted and measured pesticide concentrations. The model predictions showed high agreement with the limited amount of measured runoff data in 2002. The model predicted that no significant amounts of pretilachlor would leach below the top 25 cm of the soil, although no measured data were available to evaluate the predicted results. A sensitivity analysis of the model to variables controlling pesticide partitioning to paddy sediment (VBIND, depth for direct partitioning of pesticide to bed sediment; VMIX, mixing velocity by molecular diffusion) revealed that the predictions of pesticide leaching were influenced strongly by those variables. Generally the RICEWQ-VADOFT model is a useful modeling tool for pesticide risk assessment in rice paddies.

Acetanilides↗
PubMed2005

Inkjet printer model-based halftoning.

The quality of halftone prints produced by inkjet (IJ) printers can be limited by random dot-placement errors. While a large literature addresses model-based halftoning for electrophotographic printers, little work has been done on model-based halftoning for IJ printers. In this paper, we propose model-based approaches to both iterative least-squares halftoning and tone-dependent error diffusion (TDED). The particular approach to iterative least-squares halftoning that we use is direct binary search (DBS). For DBS, we use a stochastic model for the equivalent gray-scale image, based on measured dot statistics of printed IJ halftone patterns. For TDED, we train the tone-dependent weights and thresholds to mimic the spectrum of halftone textures generated by model-based DBS. We do this under a metric that enforces both the correct radially averaged spectral profile and angular symmetry at each radial frequency. Experimental results generated with simulated printers and a real printer show that both IJ model-based DBS and IJ model-based TDED very effectively suppress IJ printer-induced artifacts.

Algorithms↗
PubMed1993

Transcription-driven site-specific DNA recombination in vitro.

Transcription of a topologically relaxed, circular DNA triggers recombination between two directly repeated res sites by gamma delta resolvase in vitro. This activation of recombination depends on the res site-to-site distance and the orientation of sites with respect to the direction of RNA polymerase tracking. In addition to functioning as a site-specific recombinase, gamma delta resolvase acts as a site-specific topoisomerase and increases the topological linking number of templates during transcription. The data suggest that the link between transcription and recombination could be negative DNA supercoiling that transiently builds up on a relatively short DNA segment in the wake of an advancing RNA polymerase. Surprisingly, transcription-driven recombination is not inhibited by the presence of large amounts of eukaryotic topoisomerase type I, indicating that site-specific recombination can override relaxation by diffusible topoisomerases. This in vitro system might therefore serve as a model for some transcription-directed recombination events observed in vivo.

Animals↗
PubMed1995

Radial packing, order, and disorder in collagen fibrils.

Collagen fibrils resemble smectic, liquid crystals in being highly ordered axially but relatively disordered laterally. In some connective tissues, x-ray diffraction reveals three-dimensional crystallinity in the molecular packing within fibrils, although the continued presence of diffuse scatter indicates significant underlying disorder. In addition, several observations from electron microscopy suggest that the molecular packing is organized concentrically about the fibril core. In the present work, theoretical equatorial x-ray diffraction patterns for a number of models for collagen molecular packing are calculated and compared with the experimental data from tendon fibrils. None of the models suggested previously can account for both the crystalline Bragg peaks and the underlying diffuse scatter. In addition, models in which any of the nearest-neighbor, intermolecular vectors are perpendicular to the radial direction are inconsistent with the observed radial orientation of the principal approximately 4 nm Bragg spacing. Both multiple-start spiral and concentric ring models are devised in which one of the nearest-neighbor vectors is along the radial direction. These models are consistent with the radial orientation of the approximately 4 nm spacing, and energy minimization results in radially oriented crystalline domains separated by disordered grain boundaries. Theoretical x-ray diffraction patterns show a combination of sharp Bragg peaks and underlying diffuse scatter. Close agreement with the observed equatorial diffraction pattern is obtained. The concentric ring model is consistent with the observation that the diameters of collagen fibrils are restricted to discrete values.

Animals↗
PubMed1997

Reciprocal IFN-gamma and TGF-beta responses regulate the occurrence of mucosal inflammation.

The above new findings concerning the immunological mechanisms governing mucosa, immune responses and oral tolerance in TCR-transgenic mice, as well as those operative in mice with experimental colitis, greatly expand our understanding of the processes that normally control mucosal inflammation and possibly other types of inflammation as well (Fig. 1). They indicate that, in the nondiseased mouse, ingested proteins evoke a Th1-cell (IFN-gamma) response in the mucosal follicles that is quickly counter-regulated by induction of T-cell anergy/deletion, if this Th1-cell response is inhibited (experimentally by anti-IL-12), TGF beta-producing cells appear, and these are capable of active immune suppression. This reciprocal relationship between IFN-gamma production and TGF-beta production is further supported in mouse models of mucosal inflammation. Thus, in the TNBS-colitis model, there is direct stimulation of the immune cells in the lamina propria as a result of diffuse haptenization of mucosal proteins, which leads to a massive Th1-cell response capable of overwhelming any suppressive counter-regulatory mechanisms normally generated in the PPs. This highly polarized Th1-cell response is controlled only by direct abrogation of IL-12 production with exogenous administration of anti-IL-12, or with indirect inhibition of this response via induction of oral tolerance and accompanying production of TGF-beta (Refs 6-8). The data obtained from this model are consistent with those obtained with another model of intestinal inflammation--inflammation in severe combined immunodeficiency (SCID) mice following lymphoid repletion with CD45Rbhi (naive) T cells. In this model, inflammation is again mediated by Th1 cells and is prevented by co-repletion with CD45Rbhi (memory) T cells, which appear to work by secreting TGF-beta (Refs 9, 10). Thus, a common feature of the various experimental models of intestinal inflammation studied to date is the Yin-Yang relationship of IFN-gamma and TGF-beta, with the former being proinflammatory and the latter anti-inflammatory. Is the IFN-gamma TGF-beta dichotomy that is evident both in the normal state and in models of inflammation simply a reflection of an underlying Th1 Th2 dichotomy? The answer to this important question is not yet known. Thus, while it is clear from the in vitro studies already discussed that IL-12 and/or IFN-gamma inhibit TGF-beta production, the role of IL-4 in this process is more elusive. These in vitro studies indicate that IL-4 is not required for TGF-beta production, a finding that is consistent with studies in which the transfer of CD45Rbhi, T cells from IL-4-/- mice protected SCID mice from colitis induced by CD45Rbhi T cells. However, the addition of IL-4 to in vitro cultures containing anti-IL-12 augmented TGF-beta production, most probably by IL-4 acting as a growth factor for TGF-beta-producing cells rather than as an inducing factor (T. Marth et al., unpublished). Obviously, more work will be necessary to resolve this issue. Finally, it should be noted that the above considerations apply to human inflammatory diseases of the gastrointestinal tract, such as Crohn's disease. Recently, it has been shown that T cells extracted from Crohn's disease tissues manifest skewed Th1-cell responses. The hypothesis can therefore be put forward that this disease results from a dysregulated Th1-cell response to ubiquitous mucosal antigens that is not appropriately controlled by normal counter-regulatory mechanisms. Interventions that artificially bring the excessive Th1-cell response back into balance, such as administration of IL-12 antagonists, should therefore find a central place in the treatment of the disease.

Animals↗
PubMedDate not supplied

Random walk analysis of restricted metabolite diffusion in skeletal myofibril systems.

The purpose of this work was the development of a basal mathematical model for the diffusion of low-molecular metabolites in a skeletal muscle cell. A three-dimension diffusion of low-molecular particles was simulated by a Monte-Carlo method (random walks of diffusing molecules). The model takes into account the following structural elements: (i) a regular lattice of actin and myosin filaments inside a myofibril; (ii) the membranes of sarcoplasmic reticulum and mitochondria surrounding the myofibrils; (iii) a set of myofibrils inside a skeletal muscle cell. We simulated diffusion of particles in the bulk of intracellular water phase and their reflections from the rigid surfaces of intracellular structures. The model allowed to calculate the apparent coefficients of particle diffusion in the axial and radial directions, Dparallel(app) and Dperpendicular(app), respectively. In accordance with experimental data from literature, the coefficient Dparallel(app) was independent of time. The coefficient of radial diffusion Dperpendicular(app) decreased with time to steady state values similar to that determined by the NMR diffusion spectroscopy methods. The interactions of diffusing particles with thin and thick filaments of myofibrils could explain the decrease in the Dperpendicular(app) value by a factor of 20%. The collisions of particles with myofilaments began to reveal themselves as a gradual decrease in the Dperpendicular(app) value at early stages of diffusion (t1/2 approximately equal to 0.05 microsec). The contribution of particle reflections from the membranes of sarcoplasmic reticulum and mitochondria to the retardation of the radial diffusion was about of 20-30%, depending on porosity of a membranous shield around the myofibril. For conventional sizes of a membranous shield (diameter 2 microm), the interactions of particles with the shield caused a decrease in the Dperpendicular(app) value with a half-time t1/2 approximately equal to 0.5 msec. This time is essentially lower by a factor about of 100 than that found in published NMR measurements. When we considered diffusion of particles inside a cell compartment confined to impermeable membranous shield, the reflection of particles from this shield led the drastic decrease in the radial diffusion coefficient (Dperpendicular(app) --> porportional to when t --> porportional to). This pattern of the Dperpendicular(app)(t) time-course might be expected in the NMR measurements on skeletal muscle tissue where a sarcolemma represents an impermeable shield for ATP and PCr molecules.

Models, Theoretical↗
PubMed2000

Dielectric exclusion of ions from membranes.

Dielectric exclusion is caused by the interactions of ions with the bound electric charges induced by ions at interfaces between media of different dielectric constants. It is considered as one of mechanisms of nanofiltration. The transport properties of capillary model are expressed through ion distribution and diffusion coefficients. Due to local equilibrium the distribution coefficient is directly related to the excess solvation energy of ion. First, this energy is considered for single ions in single neutral pores in terms of pore size, ion charge, dielectric constants of solvent and membrane matrix and pore geometry. The dielectric exclusion from pores with closed geometry like circular cylinders is shown to be essentially stronger than that from pores with relatively open geometry like slits. Furthermore, the role of finite membrane porosity is analysed for the model of infinite slabs with alternating dielectric constants. The presence of other ions is accounted for within the scope of a mean-field approach, and the screening of dielectric exclusion is thus introduced and considered in some detail. A fixed electric charge is shown to cause additional screening. At the same time the dielectric exclusion makes the Donnan exclusion of ions stronger. Therefore the interaction between those two rejection mechanisms turns out to be non-trivial. Finally, the effect of solvent molecular structure is considered within the scope of non-local electrostatics. It is shown that the solvent non-locality typically results in somewhat stronger dielectric exclusion, however, its most important effect is slowing down the decline of dielectric exclusion with increasing bulk electrolyte concentration.

Capillary Action↗
PubMed2006

Evidence for time-variant decision making.

Computational models based on diffusion processes have been proposed to account for human decision-making behaviour in a variety of tasks. The basic idea is that the brain keeps accumulating noisy sensory evidence until a critical level is reached. This study explores whether such models account for the speed and accuracy of perceptual decisions in a reaction-time random dot motion direction discrimination task, and whether they explain the decision-related activity of neurons recorded from the parietal cortex (area LIP) of monkeys performing the task. While a simple diffusion model can explain the psychometric function and the mean response times of correct responses, it fails to account for the longer response times observed for errors and for the response time distributions. Here I demonstrate that a time-variant version of the diffusion model can explain the psychometric function, the mean response times and the shape of the response time distributions. Such a time-variant mechanism could be implemented in different ways, but the best match between the physiological data and model predictions is provided by a diffusion process with a gain of the sensory signals, which increases over time. It can be shown that such a time-variant decision process allows the monkey to perform optimally (in the sense of maximizing reward rate) given the risk of aborting a trial by breaking fixation before a choice can be reported. The results suggest that the brain trades off speed and accuracy not only by adjusting parameters between trials but also by dynamic adjustments during an ongoing decision.

Decision Making↗
PubMed2004

Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution.

Diffusion-weighted magnetic resonance imaging can provide information related to the arrangement of white matter fibers. The diffusion tensor is the model most commonly used to derive the orientation of the fibers within a voxel. However, this model has been shown to fail in regions containing several fiber populations with distinct orientations. A number of alternative models have been suggested, such as multiple tensor fitting, q-space, and Q-ball imaging. However, each of these has inherent limitations. In this study, we propose a novel method for estimating the fiber orientation distribution directly from high angular resolution diffusion-weighted MR data without the need for prior assumptions regarding the number of fiber populations present. We assume that all white matter fiber bundles in the brain share identical diffusion characteristics, thus implicitly assigning any differences in diffusion anisotropy to partial volume effects. The diffusion-weighted signal attenuation measured over the surface of a sphere can then be expressed as the convolution over the sphere of a response function (the diffusion-weighted attenuation profile for a typical fiber bundle) with the fiber orientation density function (ODF). The fiber ODF (the distribution of fiber orientations within the voxel) can therefore be obtained using spherical deconvolution. The properties of the technique are demonstrated using simulations and on data acquired from a volunteer using a standard 1.5-T clinical scanner. The technique can recover the fiber ODF in regions of multiple fiber crossing and holds promise for applications such as tractography.

Algorithms↗
PubMed1973

Determinants of time-dependent membrane conductance. The nonrole of classical ion-membrane molecule interactions.

We have examined the steady-state and time-dependent electrical properties of a model membrane system. The model assumes that the directed velocity and energy of ions moving through the membrane are determined by the applied electric field, ionic diffusion forces, and central elastic collisions between ions and membrane molecules. A simple analysis of the steady-state electrical properties of the model yields results identical with ones obtained previously using a more complex analysis procedure. The time-dependent conductance changes of the model in response to a step change in electric field strength when there is solution symmetry display three qualitative patterns dependent on the nature of the ion-membrane molecule interaction. One of the patterns of conductance change is quite similar to that observed in the sodium conductance system of a number of excitable tissues: an initial conductance rise to a maximum (activation) followed by a decay to a final steady-state value (inactivation). However, the correspondence between the time-dependent model behavior and known experimental behavior of excitable systems is only qualitative. We conclude that the classical ion-membrane molecule interactions we consider are not involved in determining time-dependent conductance processes in the excitable systems for which comparison is possible.

Biological Transport↗
PubMed1993

Tri- and diglycine backbone rotational dynamics investigated by 13C NMR multiplet relaxation and molecular dynamics simulations.

Backbone motional dynamics in tri- and diglycine have been investigated by using 13C NMR multiplet relaxation spectroscopy. Dipolar auto- and cross-correlation times were determined as a function of pH, ionic strength, and temperature. Molecular dynamics simulations and phi,psi bond rotation energy profiles were calculated for insight into the physical nature of backbone rotations that could contribute to 13C relaxation. Various motional models were used to fit the experimental data. For internal glycine G2 in triglycine, restricted and unrestricted rotational diffusion models both underestimate internal correlation times, although they do agree that the axis of fastest internal rotation is directed closely along the C alpha-C bond. For di- and triglycine, significant pH dependencies in cross-correlation times for C-terminal glycines, and more so for those of N-terminal glycines, indicate the importance of the ionization state in internal mobility of terminal backbone positions. For terminal glycines, rotational jump models which allow for diffusive-like fluctuations within minima best explain the experimental data. phi,psi rotational fluctuation amplitudes and internal rotational energy barriers derived from the temperature dependence of 13C relaxation parameters, which range from 3 to 5 kcal/mol, agree well with those values calculated in rotational energy profiles.

Amino Acid Sequence↗
PubMed2006

Modelling radionuclide transport for time varying flow in a channel network.

Water flowrates and flow directions may change over time in the subsurface for a number of reasons. In fractured rocks flow takes place in channels within fractures. Solutes are carried by the advective flow. In addition, solutes may diffuse in and out of stagnant waters in the rock matrix and other stagnant water regions. Sorbing species may sorb on fracture surfaces and on the micropore surfaces in the rock matrix. We present a method by which solute particles can be traced in flowing water undergoing changes in flowrate and direction in a complex channel network where the solutes can also interact with the rock by diffusion in the rock matrix. The novelty of this paper is handling of diffusion in the rock matrix under transient flow conditions. The diffusive processes are stochastic and it is not possible to follow a particle deterministically. The method therefore utilises the properties of a probability distribution function for a tracer moving in a fracture where matrix diffusion is active. The method is incorporated in a three dimensional channel network model. Particle tracking is used to trace out a multitude of flowpaths, each of which consists of a large number of channels within fractures. Along each channel the aperture and velocity as well as the matrix sorption properties can vary. An efficient method is presented whereby a particle can be followed along the variable property flowpath. For stationary flow conditions and a network of channels with advective flow and matrix diffusion, a simple analytical solution for the residence time distribution along each pathway can be used. Only two parameter groups need to be integrated along each path. For transient flow conditions, a time stepping procedure that incorporates a stochastic Monte-Carlo like method to follow the particles along the paths when flow conditions change is used. The method is fast and an example is used for illustrative purposes. It is exemplified by a case where land rises due to glacial rebound. It is shown that the effects of changing flowrates and directions can be considerable and that the diffusive migration in the matrix can have a dominating effect on the results.

Computer Simulation↗
PubMed2003

Three-component competitive adsorption model for flow-through PAC systems. 1. Model development and verification with a PAC/membrane system.

Natural organic matter (NOM) interferes with the adsorption of trace organic compounds on porous adsorbents such as powdered activated carbon (PAC) by pore blockage and direct competition for adsorption sites. The competitive effect of NOM in flow-through systems in which the retention time of the PAC is greater than the hydraulic retention time of the system can be magnified because NOM from the influent water can continue to adsorb on the PAC retained in the system. As a result, the adsorption capacity and the diffusion coefficient of trace compounds can decrease as NOM from the influent water accumulates. In this study, a dynamic three-component adsorption model was developed to quantitatively describe the removal of a trace compound from water in flow-through PAC processes. The system was simplified by using p-dichlorobenzene (p-DCB) to represent the NOM fraction that competes directly with the target trace organic atrazine for adsorption sites and by using poly(styrene sulfonate) (PSS-1.8k) to represent large, pore-blocking NOM. The model was based on the homogeneous surface diffusion assumption with the adsorption capacity of atrazine being gradually adjusted using a simplified version of the ideal adsorbed solution theory model developed in this study. The surface diffusion coefficients of atrazine and p-DCB were modeled as a function of the surface concentration of the pore-blocking compound, PSS-1.8k. The model was verified experimentally with a PAC/microfiltration (MF) system. The use of single-solute adsorption parameters obtained from batch isotherm and kinetic tests resulted in good model predictions for the adsorption of atrazine and the two model compounds under operating conditions typical of PAC/MF systems. The model will be applied to study various operating conditions and other system parameters of PAC/membrane systems in part 2 of this study.

Adsorption↗
PubMed1998

Magnetic resonance myocardial fiber-orientation mapping with direct histological correlation.

Functional properties of the myocardium are mediated by the tissue structure. Consequently, proper physiological studies and modeling necessitate a precise knowledge of the fiber orientation. Magnetic resonance (MR) diffusion tensor imaging techniques have been used as a nondestructive means to characterize tissue fiber structure; however, the descriptions so far have been mostly qualitative. This study presents a direct, quantitative comparison of high-resolution MR fiber mapping and histology measurements in a block of excised canine myocardium. Results show an excellent correspondence of the measured fiber angles not only on a point-by-point basis (average difference of -2.30 +/- 0.98 degrees, n = 239) but also in the transmural rotation of the helix angles (average correlation coefficient of 0.942 +/- 0.008 with average false-positive probability of 0.004 +/- 0.001, n = 24). These data strongly support the hypothesis that the eigenvector of the largest MR diffusion tensor eigenvalue coincides with the orientation of the local myocardial fibers and underscore the potential of MR imaging as a noninvasive, three-dimensional modality to characterize tissue fiber architecture.

Animals↗