Wavelet-encoded MR spectroscopic imaging incorporating parallel imaging to further reduce acquisition time: in-vitro results
نویسندگان
چکیده
Introduction: It has been shown that wavelet encoding spectroscopic imaging (WE-SI) reduces both acquisition time and voxel bleed in magnetic resonance spectroscopic imaging (MRSI) as compared to chemical shift imaging (CSI) for equal number of encodes, with an associated loss of signal-to-noise ratio (SNR) [1, 2]. It has also been shown, from simulation results, that wavelet encoding (WE) combined with parallel imaging (PI, WE-PI) reduces further the acquisition time by approximately the well known acceleration factor R, and preserves the spatial metabolite distribution with minimal loss of the signal-to-noise ratio (SNR) of the WE-SI technique [3]. Here we report phantom results confirming simulation results and demonstrating that WE-PI decreases the acquisition time of the standard WE-SI technique, while preserving its metabolite spatial distribution, and an associated SNR decrease, which is given by ( ) SI WE PI WE SNR R N N g SNR − − + + = . ) 2 /( ) 2 ( 1 2 2 2 . In wavelet encoding, shaped RF pulses with profiles resembling
منابع مشابه
A Bayesian approach for image denoising in MRI
Magnetic Resonance Imaging (MRI) is a notable medical imaging technique that is based on Nuclear Magnetic Resonance (NMR). MRI is a safe imaging method with high contrast between soft tissues, which made it the most popular imaging technique in clinical applications. MR Imagechr('39')s visual quality plays a vital role in medical diagnostics that can be severely corrupted by existing noise duri...
متن کاملFast magnetic resonance imaging simulation with sparsely encoded wavelet domain data in a compressive sensing framework
Randomly encoded compressive sensing (CS) has potential in fast acquisition of magnetic resonance imaging (MRI) data in most naturally compressible images. However, there is no guaranteed good performance for general applications by any of the traditional CS-MRI theoretical schemes developed so far. On the other hand, recent research demonstrates that adaptive sampling exploiting the tree struc...
متن کاملAccelerated Parallel Magnetic Resonance Imaging with Combined Gradient and Wavelet Sparsity
Parallel Magnetic Resonance Imaging (pMRI) is a fast developing technique to reduce MR scanning time. In pMRI, multi-channel coils simultaneously receive a fraction of k-space data and the field of view (FOV) is then reconstructed with the coil profiles. The techniques for pMRI can be mainly divided in two groups: image domain techniques such as PILS, SENSE and Fourier domain techniques like SM...
متن کاملReduction of artifacts by optimization of the sensitivity map in sensitivity-encoded spectroscopic imaging.
Sensitivity-encoded spectroscopic imaging (SENSE-SI) reduces scanning time by using multiple coils for parallel signal acquisition. Significant artifacts could be induced by SENSE-SI, mainly due to the low-resolution nature of spectroscopic imaging. The present study introduces a novel method to reduce the artifacts. High-resolution sensitivity maps are used in low-resolution SENSE reconstructi...
متن کاملConcentric rings K-space trajectory for hyperpolarized (13)C MR spectroscopic imaging.
PURPOSE To develop a robust and rapid imaging technique for hyperpolarized (13)C MR Spectroscopic Imaging and investigate its performance. METHODS A concentric rings readout trajectory with constant angular velocity is proposed for hyperpolarized (13)C spectroscopic imaging and its properties are analyzed. Quantitative analyses of design tradeoffs are presented for several imaging scenarios. ...
متن کامل