US 8,942,456 B2 · Image reconstruction from incomplete fourier measurements and prior edge information

Abstract

Systems and methods of image reconstruction that can reduce the number of Fourier transform measurements required to obtain an exact or stable reconstruction of target images, using prior edge information obtained from a reference image. Full-sampled, 2 or 3-dimensional Fourier transform measurements are obtained for the reference image prior to performing a time series study. Based on the reference image sharing similar edge information with a time series of sparse-gradient images, the number of Fourier transform measurements required to reconstruct the target images can be reduced by using compressed sensing techniques to obtain the sparse-gradient images, and combining the edge information for the sparse-gradient images with the reduced number of Fourier transform measurements to obtain the exact or stable reconstruction of the target images, thereby permitting improved temporal resolution and/or extent of tissue coverage over the use of full sampling and conventional image reconstruction methods.

Claims27

Dependent claims

A computer-implemented method of reconstructing a time series of target images acquired by an imaging system, comprising the steps of:

obtaining a set of Fourier transform measurements of a full-sampled reference image of a region of interest;
extracting edge information from the set of Fourier transform measurements of the full-sampled reference image;
obtaining a reduced set of Fourier transform measurements of a time series of target images of the region of interest;
constructing sparse representations of the time series of target images from the reduced set of Fourier transform measurements;
obtaining approximate edge information for the sparse representations of the time series of target images using the edge information extracted from the set of Fourier transform measurements of the full-sampled reference image;
and
reconstructing the time series of target images based on the reduced set of Fourier transform measurements of the time series of target images, and the approximate edge information for the sparse representations of the time series of target images.

4 more elements

A functional magnetic resonance imaging (fMRI) system, comprising:

a controller including at least one processor operative to execute at least one program out of at least one memory:
to obtain a set of Fourier transform measurements of a full-sampled reference image of a region of interest;
to extract edge information from the set of Fourier transform measurements of the full-sampled reference image;
to obtain a reduced set of Fourier transform measurements of a time series of target images of the region of interest;
to construct sparse representations of the time series of target images from the reduced set of Fourier transform measurements;
to obtain approximate edge information for the sparse representations of the time series of target images using the edge information extracted from the set of Fourier transform measurements of the full-sampled reference image;
and
to reconstruct the time series of target images based on the reduced set of Fourier transform measurements of the time series of target images, and the approximate edge information for the sparse representations of the time series of target images.

5 more elements

A computer-implemented method of reconstructing a time series of target images acquired by an imaging system, comprising the steps of:

obtaining a set of Fourier transform measurements of a full-sampled reference image of a region of interest;
extracting edge information from the set of Fourier transform measurements of the full-sampled reference image;
obtaining a reduced set of Fourier transform measurements of a time series of target images of the region of interest;
constructing sparse-gradient images from the reduced set of Fourier transform measurements of the time series of target images;
obtaining approximate edge information for the sparse-gradient images using the edge information extracted from the set of Fourier transform measurements of the full-sampled reference image;
and
reconstructing the time series of target images based on the reduced set of Fourier transform measurements of the time series of target images, and the approximate edge information for the sparse-gradient images.

4 more elements

Dependencies are inferred from the claim text.

Image reconstruction from incomplete fourier measurements and prior edge information

Life of this patent

Image reconstruction from incomplete fourier measurements and prior edge information

Life of this patent

Abstract

Claims27