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Esmraldi: efficient methods for the fusion of mass spectrometry and magnetic resonance images
by
Foucat, Loïc
, Rogniaux, Hélène
, Fanuel, Mathieu
, Arnaud, Bastien
, Grélard, Florent
, Legland, David
in
Algorithms
/ Bioinformatics
/ Biomedical and Life Sciences
/ Chemical Sciences
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Computer Science
/ Datasets
/ Grain
/ Image acquisition
/ Image fusion
/ Image Processing
/ Image registration
/ Imaging and image analysis
/ Life Sciences
/ Localization
/ Magnetic Resonance Imaging
/ Marking and tracking techniques
/ Mass spectrometry
/ Mass spectrometry imaging
/ Mass spectroscopy
/ Metabolism
/ Methods
/ Microarrays
/ Principal components analysis
/ Radiochemistry
/ Registration
/ Reproducibility of Results
/ Research Article
/ Scientific imaging
/ Spectra processing
/ Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
/ Spectroscopy
/ Workflow
2021
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Esmraldi: efficient methods for the fusion of mass spectrometry and magnetic resonance images
by
Foucat, Loïc
, Rogniaux, Hélène
, Fanuel, Mathieu
, Arnaud, Bastien
, Grélard, Florent
, Legland, David
in
Algorithms
/ Bioinformatics
/ Biomedical and Life Sciences
/ Chemical Sciences
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Computer Science
/ Datasets
/ Grain
/ Image acquisition
/ Image fusion
/ Image Processing
/ Image registration
/ Imaging and image analysis
/ Life Sciences
/ Localization
/ Magnetic Resonance Imaging
/ Marking and tracking techniques
/ Mass spectrometry
/ Mass spectrometry imaging
/ Mass spectroscopy
/ Metabolism
/ Methods
/ Microarrays
/ Principal components analysis
/ Radiochemistry
/ Registration
/ Reproducibility of Results
/ Research Article
/ Scientific imaging
/ Spectra processing
/ Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
/ Spectroscopy
/ Workflow
2021
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Esmraldi: efficient methods for the fusion of mass spectrometry and magnetic resonance images
by
Foucat, Loïc
, Rogniaux, Hélène
, Fanuel, Mathieu
, Arnaud, Bastien
, Grélard, Florent
, Legland, David
in
Algorithms
/ Bioinformatics
/ Biomedical and Life Sciences
/ Chemical Sciences
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Computer Science
/ Datasets
/ Grain
/ Image acquisition
/ Image fusion
/ Image Processing
/ Image registration
/ Imaging and image analysis
/ Life Sciences
/ Localization
/ Magnetic Resonance Imaging
/ Marking and tracking techniques
/ Mass spectrometry
/ Mass spectrometry imaging
/ Mass spectroscopy
/ Metabolism
/ Methods
/ Microarrays
/ Principal components analysis
/ Radiochemistry
/ Registration
/ Reproducibility of Results
/ Research Article
/ Scientific imaging
/ Spectra processing
/ Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
/ Spectroscopy
/ Workflow
2021
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Esmraldi: efficient methods for the fusion of mass spectrometry and magnetic resonance images
Journal Article
Esmraldi: efficient methods for the fusion of mass spectrometry and magnetic resonance images
2021
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Overview
Background
Mass spectrometry imaging (MSI) is a family of acquisition techniques producing images of the distribution of molecules in a sample, without any prior tagging of the molecules. This makes it a very interesting technique for exploratory research. However, the images are difficult to analyze because the enclosed data has high dimensionality, and their content does not necessarily reflect the shape of the object of interest. Conversely, magnetic resonance imaging (MRI) scans reflect the anatomy of the tissue. MRI also provides complementary information to MSI, such as the content and distribution of water.
Results
We propose a new workflow to merge the information from 2D MALDI–MSI and MRI images. Our workflow can be applied to large MSI datasets in a limited amount of time. Moreover, the workflow is fully automated and based on deterministic methods which ensures the reproducibility of the results. Our methods were evaluated and compared with state-of-the-art methods. Results show that the images are combined precisely and in a time-efficient manner.
Conclusion
Our workflow reveals molecules which co-localize with water in biological images. It can be applied on any MSI and MRI datasets which satisfy a few conditions: same regions of the shape enclosed in the images and similar intensity distributions.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
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