Method for attenuating the noise in images resulting from multiple acquisitions by magnetic resonance imaging

A method for attenuating the noise in experimental data originating from multiple acquisitions by a nuclear magnetic resonance imaging device pertaining to an elementary volume of interest, hereinafter named “voxel” of interest, comprising:

• acquiring said experimental data pertaining to the plurality of voxels;
• projecting the experimental data into a base of functions or vectors to produce a set of q components as well as their respective scores for the plurality of voxels, said scores corresponding to the projection of said experimental data onto said q components;
• selecting k components among the q components produced,
• wherein the selection of the k components includes:
• producing score images of the components for the plurality of voxels and informative indicators quantifying the spatial information contained in said images of the scores associated with said components in the form of a rate of decrease of the values of a determined characteristic of said scores before and after application of a smoothing filter to said scores, said determined characteristic of the scores for a plurality of voxels belonging to a set of characteristics, alone or in combination, including variance, standard deviation, median and mean, and
• determining the k components on the basis of said informative indicators;
• projecting said experimental data onto the selected k components and producing noise-attenuated experimental data pertaining to the elementary volume;
• and
• generating a human-perceptible representation of a physiological signal based upon the noise-attenuated experimental data.

A system for attenuating the noise in experimental data originating from multiple acquisitions by a medical imaging device pertaining to an elementary volume of interest, hereinafter named “voxel” of interest, among a plurality of voxels, said system comprising a processor configured to implement the following operations:

• acquiring said experimental data pertaining to the plurality of voxels;
• projecting the experimental data into a base of functions or vectors to produce a set of q components as well as their respective scores for the plurality of voxels, said scores corresponding to the projection of said experimental data onto said q components;
• selecting k components among the q components produced,
• wherein the selection of the k components includes:
• producing score images of the components for the plurality of voxels and informative indicators quantifying the spatial information contained in said images of the scores associated with said components in the form of a rate of decrease of the values of a determined characteristic of said scores before and after application of a smoothing filter to said scores, said determined characteristic of the scores for a plurality of voxels belonging to a set of characteristics, alone or in combination, including variance, standard deviation, median and mean, and
• determining the k components on the basis of said informative indicators;
• projecting said experimental data onto the selected k components and producing noise-attenuated experimental data pertaining to the elementary volume;
• and
• generating a human-perceptible representation of a physiological signal based upon the noise-attenuated experimental data.

A method for attenuating the noise in experimental data originating from multiple acquisitions by a medical imaging device pertaining to an elementary volume of interest, hereinafter named “voxel” of interest, comprising:

• acquiring said experimental data pertaining to the plurality of voxels;
• projecting the experimental data into a base of functions or vectors to produce a set of q components as well as their respective scores for the plurality of voxels, said scores corresponding to the projection of said experimental data onto said q components;
• selecting k components among the q components produced,
• wherein the selection of the k components includes:
• producing score images of the components for the plurality of voxels and informative indicators quantifying the spatial information contained in said images of the scores associated with said components in the form of a rate of decrease of the values of a determined characteristic of said scores before and after application of a smoothing filter to said scores, said determined characteristic of the scores for a plurality of voxels belonging to a set of characteristics, alone or in combination, including variance, standard deviation, median and mean, and
• determining the k components on the basis of said informative indicators;
• projecting said experimental data onto the selected k components and producing noise-attenuated experimental data pertaining to the elementary volume;
• and
• generating a human-perceptible representation of a physiological signal based upon the noise-attenuated experimental data.