Image Reconstruction: Off-Resonance Effects and Correction
نویسنده
چکیده
1. INTRODUCTION When put into the magnetic field, a tiny but detectable fraction of the protons present in water in the body will align with this strong, steady magnetic field. During imaging, the tissue of interest is occasionally subjected to a brief electromagnetic radio-frequency (RF) pulse, essentially tilting the aligned protons off the axis of the main magnetic field. The protons then precess around the main field axis at a known frequency proportional to the main magnetic field. That field can be manipulated to identify the location of certain types of activity. The rate of precession can be used, for example, to encode the spatial position of the protons for imaging, by creating a gradient in the magnetic field along one direction [1]. The protons then precess at different frequencies depending on their location, as the magnetic field that they experience is due to both the main magnetic field and the applied imaging gradient. Signal intensity and spatial localization in MRI rely on a uniform magnetic field existing throughout the sample of interest. Much effort is devoted to properly designing and shimming the main magnetic field to achieve uniform intensity.
منابع مشابه
Fast conjugate phase image reconstruction based on a Chebyshev approximation to correct for B0 field inhomogeneity and concomitant gradients.
Off-resonance effects can cause image blurring in spiral scanning and various forms of image degradation in other MRI methods. Off-resonance effects can be caused by both B0 inhomogeneity and concomitant gradient fields. Previously developed off-resonance correction methods focus on the correction of a single source of off-resonance. This work introduces a computationally efficient method of co...
متن کاملFast automatic linear off-resonance correction method for spiral imaging.
Field inhomogeneity and susceptibility variations, coupled with a long readout, can result in image blurring in spiral imaging. Many correction methods based on a priori off-resonance information, such as an acquired field map, have been proposed in the literature. Automatic off-resonance correction methods are alternative approaches that estimate a field map from the image data themselves. In ...
متن کاملAttenuation Correction in SPECT during Image Reconstruction using an Inverse Monte Carlo Method: A Simulation Study
Introduction: The main goal of SPECT imaging is to determine activity distribution inside the organs of the body. However, due to photon attenuation, it is almost impossible to do a quantitative study. In this paper, we suggest a mathematical relationship between activity distribution and its corresponding projections using a transfer matrix. Monte Carlo simulation was used to find a precise tr...
متن کاملBlock regional off-resonance correction (BRORC): a fast and effective deblurring method for spiral imaging.
One primary disadvantage of spiral imaging is blurring artifact due to off-resonance effects. The conventional frequency segmented off-resonance correction method that is performed over the entire image is computationally intense due to the large number of fast Fourier transforms (FFTs) required. Here, a new fast off-resonance correction method, block regional off-resonance correction (BRORC), ...
متن کاملFast Single Breath-hold 3D Abdominal Spiral Imaging with Water / Fat Separation and Off-resonance Correction
Introduction Large volume coverage, short total scan time and robust water/fat separation are important issues in abdominal MRI. Breath-hold approaches are often used to avoid respiratory motion artifacts, which demands for efficient sampling schemes. Spiral imaging is one of them [1], but shows high sensitivity to off-resonance [2]. Image blurring resulting from spatially varying Bo inhomogene...
متن کاملSPIRiT: Iterative self-consistent parallel imaging reconstruction from arbitrary k-space.
A new approach to autocalibrating, coil-by-coil parallel imaging reconstruction, is presented. It is a generalized reconstruction framework based on self-consistency. The reconstruction problem is formulated as an optimization that yields the most consistent solution with the calibration and acquisition data. The approach is general and can accurately reconstruct images from arbitrary k-space s...
متن کامل