Systems and methods for reconstruction of dynamic magnetic resonance imaging data

A magnetic resonance imaging system comprising:

• a magnetic resonance imaging scanner;
• and
• control and processing hardware operatively coupled to said magnetic resonance imaging scanner, wherein said control and processing hardware comprises memory coupled with one or more processors to store instructions, which when executed by the one or more processors, causes the one or more processors to perform operations comprising:
• a) controlling said magnetic resonance imaging scanner to generate a sequence of RF pulses and detect RF signals that are responsively emitted by a subject positioned with a bore of said magnetic resonance imaging scanner, thereby obtaining an input dataset, wherein the sequence of RF pulses is selected to facilitate image reconstruction according to a plurality of temporal resolutions;
• b) partitioning the input dataset to generate an image series of non-reconstructed image data, the image series having a selected temporal resolution;
• c) selecting an image subset from the image series;
• d) performing image reconstruction on the image subset, thereby obtaining a reconstructed image subset;
• e) processing the image subset to determine one or more image quality metrics;
• f) comparing the image quality metrics to pre-selected criteria associated with an estimated fidelity of a full reconstruction of the input dataset;
• g) in the event that the one or more image quality metrics do not satisfy the pre-selected criteria, adjusting the temporal resolution and repeating operations b) to f);
• and
• h) in the event that the one or more image quality metrics satisfy the pre-selected criteria, employing the current temporal resolution to perform full reconstruction on the input dataset.

A method of performing dynamic magnetic resonance imaging, the method comprising:

• a) controlling a magnetic resonance imaging scanner to generate a sequence of RF pulses and detect RF signals that are responsively emitted by a subject positioned with a bore of the magnetic resonance imaging scanner, thereby obtaining an input dataset, wherein the sequence of RF pulses is selected to facilitate image reconstruction according to a plurality of temporal resolutions;
• b) partitioning the input dataset to generate an image series of non-reconstructed image data, the image series having a selected temporal resolution;
• c) performing image reconstruction on the image series, thereby obtaining a set of reconstructed image frames;
• d) selecting an image subset of reconstructed image frames from the set of reconstructed image frames;
• e) processing the image subset to determine one or more image quality metrics;
• f) comparing the image quality metrics to pre-selected criteria associated with an estimated fidelity of a full reconstruction of the input dataset;
• g) in the event that the one or more image quality metrics do not satisfy the pre-selected criteria, adjusting the temporal resolution and repeating operations b) to f);
• and
• h) in the event that the one or more image quality metrics satisfy the pre-selected criteria, employing the current temporal resolution to perform full reconstruction on the input dataset.

A magnetic resonance imaging system comprising:

• a magnetic resonance imaging scanner;
• and
• control and processing hardware operatively coupled to said magnetic resonance imaging scanner, wherein said control and processing hardware comprises memory coupled with one or more processors to store instructions, which when executed by the one or more processors, causes the one or more processors to perform operations comprising:
• a) controlling said magnetic resonance imaging scanner to generate a sequence of RF pulses and detect RF signals that are responsively emitted by a subject positioned with a bore of said magnetic resonance imaging scanner, thereby obtaining an input dataset, wherein the sequence of RF pulses is selected to facilitate image reconstruction according to a plurality of temporal resolutions;
• b) partitioning the input dataset to generate an image series of non-reconstructed image data, the image series having a selected temporal resolution;
• c) performing image reconstruction on the image series, thereby obtaining a set of reconstructed image frames;
• d) selecting an image subset of reconstructed image frames from the set of reconstructed image frames;
• e) processing the image subset to determine one or more image quality metrics;
• f) comparing the image quality metrics to pre-selected criteria associated with an estimated fidelity of a full reconstruction of the input dataset;
• g) in the event that the one or more image quality metrics do not satisfy the pre-selected criteria, adjusting the temporal resolution and repeating operations b) to f);
• and
• h) in the event that the one or more image quality metrics satisfy the pre-selected criteria, employing the current temporal resolution to perform full reconstruction on the input dataset.