Spectral Quantification of MRSI Data Using Spatiospectral Constraints
نویسندگان
چکیده
A new method is proposed for spectral quantitation of MRSI data. The method has two main features: 1) incorporation of prior spectral knowledge in the form of basis functions obtained by quantum simulation, and 2) incorporation of prior spatial knowledge by penalizing smoothness within each type of tissue. An efficient algorithm is also proposed to solve the underlying optimization problem, and its effectiveness for extracting quantitative spectral information from noisy MRSI data is demonstrated by comparing it with one of the state-of-the-art methods.
منابع مشابه
High-resolution dynamic 31 P-MRSI using a low-rank tensor model.
PURPOSE To develop a rapid 31 P-MRSI method with high spatiospectral resolution using low-rank tensor-based data acquisition and image reconstruction. METHODS The multidimensional image function of 31 P-MRSI is represented by a low-rank tensor to capture the spatial-spectral-temporal correlations of data. A hybrid data acquisition scheme is used for sparse sampling, which consists of a set of...
متن کاملHigh-resolution 1 H-MRSI of the brain using short-TE SPICE.
PURPOSE To improve signal-to-noise ratio (SNR) for high-resolution spectroscopic imaging using a subspace-based technique known as SPectroscopic Imaging by exploiting spatiospectral CorrElation (SPICE). METHODS The proposed method is based on a union-of-subspaces model of MRSI signals, which exploits the partial separability properties of water, lipid, baseline and metabolite signals. Enabled...
متن کاملAcquisition-weighted MRSI for detection and quantification of BNCT 10B-carrier L-p-boronophenylalanine-fructose complex, a phantom study.
Proton magnetic resonance spectroscopy (1H MRS) is a potential method to detect and quantify a boron neutron capture therapy 10B-carrier compound, L-p-boronophenylalanine (BPA), in the brain. However, optimal positioning of MRS voxel to capture tissue with maximal BPA concentration can be challenging. Three dimensional proton magnetic resonance spectroscopic imaging (3D 1H MRSI) provides spectr...
متن کاملRemoval of Lipid Nuisance Signals in MRSI Using Spatial-Spectral Constraints
INTRODUCTION One of the main difficulties for the quantification of metabolites in MRSI data arises from the presence of strong water and lipid signals. While the water signal is well separated in the spectral domain from most metabolites of interest, lipids are more problematic since they typically appear as broad and distorted lineshapes, which overlap with several important metabolite peaks ...
متن کاملFully Automatic Processing of In Vivo Proton Spectra and Spectroscopic Images
Magnetic resonance spectroscopic imaging (MRSI) provides simultaneous observation of MR spectra from multiple volumes over the observed region, and is a powerful tool for in vivo studies of metabolism. The quantification of MRSI data is widely used [ 1,2] in in vivo biomedical studies, however, traditional quantification methods of M R spectra data are time consuming and unsuitable for processi...
متن کامل