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Том 47, № 4 (2016)

Article

Evaluation of the Pore Structure of Reservoirs Based on NMR T2 Spectrum Decomposition

Wang F., Tang T., Liu T., Zhang H.

Аннотация

Nuclear magnetic resonance (NMR) T2 distributions can be employed to understand the geometry of pores, but they are not sensitive enough to determine pore connectivity. In this paper, the pore space in reservoirs is regarded as a series of different sizes of the combination of spherical pores and cylinder pores based on the pore network model and Sphere–Cylinder model. In terms of the optimized T2 inversion method, T2 spectral distribution is decomposed into two groups, sphere pore distribution and cylinder pore distribution. It is assumed that cylinder pore controls the connectivity and permeability of the reservoir and the sphere pore is the main place of fluid storage. The more cylinder pores that exist, the better the connectivity and permeability are. The data of eight core plugs are analyzed using this method, and the results are in accordance with those of core analysis, which proves the practicability of our research and provides a basis for the direct evaluation of reservoir pore structure using NMR T2 distribution.

Applied Magnetic Resonance. 2016;47(4):361-373
pages 361-373 views

Glycosylated Gadolinium as Potential Metabolic Contrast Agent vs Gd-DTPA for Metabolism of Tumor Tissue in Magnetic Resonance Imaging

Rafiei B., Nikfari B., Amirrashedi M., Heydarnezhadi S., Riahi Alam N., Haghgoo S., Ghanaati H., Khoobi M., Gorji E.

Аннотация

Modern imaging technologies such as mMRI employ contrast agents to visualize the tumor microenvironment; therefore, demand for contrast agents, with an enhanced sensitivity and tissue tumor-specific target, is very high. The purpose of this study synthesizes novel metabolic contrast agent (Gd-DTPA-DG) and evaluates accumulation in tumor tissue for early diagnostic cancer. The contrast agent was synthesized and characterized with using different techniques including dynamic light scattering, high resolution transmission electron microscopy, Fourier transform infrared spectroscopy and inductively coupled plasma atomic emission spectroscopy (ICP-AES). Finally, MRI imaging performed to determine in vitro and in vivo relaxometry. Gd-DTPA-DG was specifically investigated in tissue tumor over a 45 min in vivo because of its ability to target metabolically active tumor tissue, and comparison with conventional contrast agent [Gd-DTPA (Magnevist, Bayer-USA)]. According to the result, the maximum image signal intensity in different concentrations (0.02 to approximately 0.8 mM), longitudinal relaxation time (T1) and transverse relaxation time (T2) were obtained. Signal intensity of tumor tissue was shown at 15 and 30 min after injection reaches maximum for Gd-DTPA-DG and Gd-DTPA (Magnevist, Bayer-USA), respectively. But Gd-DTPA-DG shown signal intensity higher of Gd-DTPA (Magnevist, Bayer-USA) over 45 min, comparison with Gd-DTPA (Magnevist, Bayer-USA). Images showed metabolic contrast agent penetrate into cells and accumulated in tumor. These results showed that the novel metabolic contrast agent could become a useful tool in early detection of cancer.

Applied Magnetic Resonance. 2016;47(4):375-385
pages 375-385 views

Compensation for Signal Voids Caused by Turbulent Flow in Stenotic Vessels at 7T MRI: A Preliminary Study

Kang C., Kim S., Kim N., Lee Y.

Аннотация

An abnormal vascular structure such as a stenosis induces a turbulent flow that causes signal voids in MRA images. This study aimed to propose a new method to prevent signal voids in stenotic blood vessels in conventional 3D time-of-flight (TOF) MRA images. 2D local excitation radio frequency (2DRF) pulse sequence was used in 7T MRI, and the feasibility of using this technique for imaging abnormal and turbulent flow was evaluated. The images obtained using the sequence were compared with conventional TOF MRA image of patients with MCA stenosis. Compared to conventional TOF MRA images, the images obtained using 7T MRI with a 2DRF pulse sequence showed high signal intensity in vascular segments that were expected to be abnormal, such as the origins of perforating vessels such as lenticulostriate arteries which are branches of the proximal part of the middle cerebral artery. 2DRF pulse also obviously compensated for the signal void within the stenotic vessels in the patient. The conventional MRA technique is sensitive to a turbulent flow, which causes a loss of signal and overestimation of the stenosis. The method proposed in this study could provide clear images of vascular segments that are difficult to evaluate owing to a severe stenosis.

Applied Magnetic Resonance. 2016;47(4):405-413
pages 405-413 views

An Adaptive Algorithm for Compressively Sampled MR Image Reconstruction Using Projections onto \(l_{p}\)-Ball

Kaleem M., Qureshi M., Omer H.

Аннотация

Compressed sensing (CS) is an emerging technique for magnetic resonance imaging (MRI) reconstruction from randomly under-sampled k-space data. CS utilizes the reconstruction of MR images in the transform domain using any non-linear recovery algorithm. The missing data in the \(k\)-space are conventionally estimated based on the minimization of the objective function using \(l_{1} - l_{2}\) norms. In this paper, we propose a new CS-MRI approach called tangent-vector-based gradient algorithm for the reconstruction of compressively under-sampled MR images. The proposed method utilizes a unit-norm constraint adaptive algorithm for compressively sampled data. This algorithm has a simple design and has shown good convergence behavior. A comparison between the proposed algorithm and conjugate gradient (CG) is discussed. Quantitative analyses in terms of artifact power, normalized mean square error and peak signal-to-noise ratio are provided to illustrate the effectiveness of the proposed algorithm. In essence, the proposed algorithm improves the minimization of the quadratic cost function by imposing a sparsity inducing \(l_{p}\)-norm constraint. The results show that the proposed algorithm exploits the sparsity in the acquired under-sampled MRI data effectively and exhibits improved reconstruction results both qualitatively and quantitatively as compared to CG.

Applied Magnetic Resonance. 2016;47(4):415-428
pages 415-428 views

Analysis of Cerebral Hemodynamics in Healthy Adult Rhesus with Dynamic Susceptibility Contrast Perfusion (DSC-MR) Imaging

Zhao X., Pu J., He L., Yang F., Yang N.

Аннотация

The aim of this study was to investigate hemodynamic differences in different brain regions of normal macaque brains using dynamic susceptibility contrast (DSC) perfusion magnetic resonance (MR) imaging. Twelve male subjects were selected for DSC perfusion MR imaging (age 4–8 years). The relative cerebral blood volume (rCBV) and relative cerebral blood flow (rCBF) images were obtained by post-processing software. The values of rCBV and rCBF were recorded from the frontal cortex, parietal cortex, occipital cortex, head of caudate nucleus, posterior limb of internal capsule, thalamus, midbrain, pons, cerebellar, semioval area and splenium of the corpus callosum. The figures of rCBV and rCBF can clearly demonstrate the hemodynamic differences in various cerebral parts. It has been noted that rCBV and rCBF values have no significant difference between the right and left hemisphere (P > 0.05). The values of rCBF from cerebral cortex were significantly higher than that of white matter (P < 0.05). The values of rCBF were different (P < 0.05) at frontal cortex, parietal cortex and occipital cortex. However, the highest value has been observed in occipital cortex compared with the others (P < 0.05). We observed higher correlation coefficient between the rCBF and rCBV (r = 0.92, P < 0.05). Results from this study show that the hemodynamic characteristics of healthy adult rhesus are similar to those of normal human studies. Moreover, the blood flow of cortex is found significantly higher than white matter and there was different flow perfusion among different parts, as the occipital cortex showed the highest value and frontal cortex the lowest value.

Applied Magnetic Resonance. 2016;47(4):387-394
pages 387-394 views

Simulation Verification of SNR and Parallel Imaging Improvements by ICE-Decoupled Loop Array in MRI

Yan X., Cao Z., Zhang X.

Аннотация

Transmit/receive L/C loop arrays with the induced current elimination (ICE) or magnetic wall decoupling method have shown high signal-to-noise ratio (SNR) and excellent parallel imaging ability for magnetic resonance imaging at ultrahigh fields, e.g., 7 T. In this study, we aim to numerically analyze the performance of an eight-channel ICE-decoupled loop array at 7 T. Three-dimensional electromagnetic (EM) and radiofrequency circuit co-simulation approach was employed. The values of all capacitors were obtained by optimizing the S-parameters of all coil elements. The EM simulation was used to accurately model the coil structure, the phantom and the excitation fields. All coil elements were well matched to 50 Ω and the isolation between any two coil elements was better −15 dB. The simulated S-parameters were consistent with the experimental results, indicating the simulation results were reliable. Compared with the conventional capacitively decoupled array, the ICE-decoupled array had higher sensitivity at the peripheral areas of the imaging subjects due to the shielding effect of the decoupling loops. The increased receive sensitivity resulted in an improvement of signal intensity and SNR for the ICE-decoupled array.

Applied Magnetic Resonance. 2016;47(4):395-403
pages 395-403 views

Characterization of Flow Distribution in the Blood Compartment of Hollow Fiber Hemodialyzers with Contrast-Enhanced Spin Echo Magnetic Resonance Imaging

Weerakoon B., Osuga T.

Аннотация

An optimized flow distribution is quintessential for hemodialyzers in order to maximize the mass transfer efficiency through the diffusion process. It is important to observe the flow pattern and the concentration profile within the hemodialyzer when evaluating its function. Thus experimental knowledge which can evaluate the above two parameters plays a significant part in the optimization of these modules. The objective of the present study was to propose an experimental method for evaluating the flow distribution pattern in the blood compartment of a hollow-fiber hemodialyzer using a contrast-enhanced spin echo T1-weighted magnetic resonance imaging (MRI) technique by tracing the concentration profiles and theoretical interpretation. Considering a parabolic flow profile inside the hollow fibers, the relative signal intensities along the axial direction of the five types of hemodialyzers were measured after injecting the Gd-DTPA contrast solution into the blood inlet. Although uniformly decreasing concentration profiles towards the outlet ports were observed during the analysis, the calculated mean and standard deviation (SD) of all average relative signal intensities indicated that there were variations in concentration distribution between the transverse sections of the same hemodialyzer. However, most of these variabilities were found to be within one SD of this mean value. These results suggested that the contrast-enhanced MRI technique can provide a significant tool for characterizing flow distribution in hemodialyzers, both qualitatively and quantitatively.

Applied Magnetic Resonance. 2016;47(4):453-469
pages 453-469 views

An Analytical Method for the Deconvolution of Voigtian Profiles

Shin B.

Аннотация

In spectroscopy, the spectral lineshape is often well described by a Voigtian function, which is the convolution of a Lorentzian function and a Gaussian function. A number of researchers have suggested ways to approximate the Voigtian profile. Herein, we report an analytical method to deconvolve it. Our method calculates the component Lorentzian and Gaussian linewidth of a Voigtian function by solving some polynomial equations in terms of even-order derivatives of the Voigtian function evaluated at the center. In the absence of noise, the Lorentzian and Gaussian linewidths obtained by the deconvolution of computer-generated Voigtian absorption spectra are accurate within an error of 0.01 %. While the accuracy of our new method is affected by noise, it can be improved by employing a Savitzky–Golay filter and/or a Lorentzian filter function. Our new method will be useful in magnetic resonance spectroscopy, optical spectroscopy, and other fields of science.

Applied Magnetic Resonance. 2016;47(4):429-452
pages 429-452 views

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