In vivo magnetic resonance spectroscopy provides insight into metabolism in the human body. New acquisition protocols are often proposed to improve the quality or efficiency of data collection. Processing pipelines must also be developed to use these data optimally. Current fitting software is either targeted at general spectroscopy fitting, or for specific protocols. We therefore introduce the MATLAB-based OXford Spectroscopy Analysis (OXSA) toolbox to allow researchers to rapidly develop their own customised processing pipelines. The toolbox aims to simplify development by: being easy to install and use; seamlessly importing Siemens Digital Imaging and Communications in Medicine (DICOM) standard data; allowing visualisation of spectroscop...
NMR spectroscopy is uniquely suited for atomic resolution studies of biomolecules such as proteins, ...
In vivo 1H Magnetic Resonance Spectroscopy (MRS) is a useful tool in assessing neurological and meta...
The science of metabolomics is a relatively young field that requires intensive signal processing an...
Purpose: We introduce FSL-MRS, an end-to-end, modular, open-source magnetic resonance spectroscopy a...
Original data for the in vivo experiments included in the article Universal Dynamic Fitting of Magne...
Magnetic resonance spectroscopy (MRS) is an advanced biochemical technique used to identify metaboli...
Background: Information on the metabolic content in tissue has diagnostic and prognostic value when...
Background: Magnetic resonance spectroscopy provides metabolic information about living tissues in a...
Magnetic Resonance Spectroscopy: Tools for Neuroscience Research and Emerging Clinical Applications ...
Source code for the all examples and simulations (synthetic, and in vivo) included in the article Un...
Abstract Background Magnetic resonance spectroscopy provides metabolic information about living tiss...
A multiscale approach for analyzing in vivo magnetic reso-nance spectroscopic imaging (SI) data is d...
BACKGROUND: Magnetic resonance spectroscopy provides metabolic information about living tissues in a...
FSL-MRS is a collection of python modules and wrapper scripts for pre-processing and model fitting o...
© 2015 Mocioiu et al. Background: Magnetic resonance spectroscopy provides metabolic information abo...
NMR spectroscopy is uniquely suited for atomic resolution studies of biomolecules such as proteins, ...
In vivo 1H Magnetic Resonance Spectroscopy (MRS) is a useful tool in assessing neurological and meta...
The science of metabolomics is a relatively young field that requires intensive signal processing an...
Purpose: We introduce FSL-MRS, an end-to-end, modular, open-source magnetic resonance spectroscopy a...
Original data for the in vivo experiments included in the article Universal Dynamic Fitting of Magne...
Magnetic resonance spectroscopy (MRS) is an advanced biochemical technique used to identify metaboli...
Background: Information on the metabolic content in tissue has diagnostic and prognostic value when...
Background: Magnetic resonance spectroscopy provides metabolic information about living tissues in a...
Magnetic Resonance Spectroscopy: Tools for Neuroscience Research and Emerging Clinical Applications ...
Source code for the all examples and simulations (synthetic, and in vivo) included in the article Un...
Abstract Background Magnetic resonance spectroscopy provides metabolic information about living tiss...
A multiscale approach for analyzing in vivo magnetic reso-nance spectroscopic imaging (SI) data is d...
BACKGROUND: Magnetic resonance spectroscopy provides metabolic information about living tissues in a...
FSL-MRS is a collection of python modules and wrapper scripts for pre-processing and model fitting o...
© 2015 Mocioiu et al. Background: Magnetic resonance spectroscopy provides metabolic information abo...
NMR spectroscopy is uniquely suited for atomic resolution studies of biomolecules such as proteins, ...
In vivo 1H Magnetic Resonance Spectroscopy (MRS) is a useful tool in assessing neurological and meta...
The science of metabolomics is a relatively young field that requires intensive signal processing an...