System and method for reconstruction of images from ultra-sparse acquisitions
AssigneeThe Governing Council of the University of Toronto
InventorsAlexander James MERTENS, Hai-Ling Margaret CHENG
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Abstract
Methods and systems for reconstructing MRI images from a time-series of undersampled MRI scan images. The under-sampled scan images are partitioned into subsets and combined to obtain low-temporal-resolution k-space images that are used to find an estimated spatial domain image for each subset that collectively are used to determined an estimated spatial domain subspace. For each undersampled scan image, a spatial domain reconstruction is found as a function of the estimated spatial domain subspace.
Claims22
A computer-implemented method comprising:
- receiving a time-series of undersampled scan images obtained using magnetic resonance imaging (MRI);
- segmenting the time-series into a plurality of subsets of undersampled scan images and, for each subset, combining the undersampled scan images in the subset to obtain a low-temporal-resolution k-space image for that subset;
- generating an estimated spatial domain image for each low-temporal-resolution k-space image to obtain a set of low-temporal-resolution estimated spatial domain images;
- generating a subset of representative images based on the set of low-temporal-resolution estimated spatial domain images to form an estimated spatial domain subspace;
- for each undersampled scan image in the time-series of undersampled scan images, determining a spatial domain reconstruction as a function of the representative images in the estimated spatial domain subspace;
- and
- outputting, as a sequence of images for video display, the spatial domain reconstructions.
A computing device, comprising:
- a processor;
- and
- a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, are to cause the processor to:
- receive a time-series of undersampled scan images obtained using magnetic resonance imaging (MRI);
- segment the time-series into a plurality of subsets of undersampled scan images and, for each subset, combine the undersampled scan images in the subset to obtain a low-temporal-resolution k-space image for that subset;
- generate an estimated spatial domain image for each low-temporal-resolution k-space image to obtain a set of low-temporal-resolution estimated spatial domain images;
- generate a subset of representative images based on the low-temporal-resolution estimated spatial domain images to form an estimated spatial domain subspace;
- for each undersampled scan image in the time-series of undersampled scan images, determine a spatial domain reconstruction as a function of the representative images in the estimated spatial domain subspace;
- and
- output, as a sequence of images for video display, the spatial domain reconstructions.
Dependencies are inferred from the claim text.