Abstract: A method and apparatus for MRI retrospective reconstruction determines a period of minimal coronary artery motion within the acquired temporal window with a rotation angle optimized for a K-space four-dimensional (4D) volume by a segmented 4D radial stack-of-stars (SOS) acquisition during a temporal acquisition window (taw). Radial stacks of the image of an object are acquired by performing the radial (SOS) acquisition to determine a plurality of kz plane samples of the object, in which each kz plane is repeatedly determined during a sub-window of the temporal acquisition window. Consecutive volumes of kz centric slices of the image at each temporal sub-window of the temporal acquisition window are generated and summed to fill a 3D k-space volume. The radial (SOS) acquisition of the image is determined utilizing a customized rotation angle ? providing a uniform distribution of k-space spokes of the kz centric slices for each sub-window of the (taw).

Abstract: A magnetic resonance (MR) image processing system includes a data collection unit that acquires image data from a target region of an object. A navigator unit acquires a motion signal indicating motion comprising motion of at least a portion of an object. A data processing unit derives k-space data for a k-space data array from the acquired image data, by acquiring k-space data for a first portion of the k-space from the acquired image data in response to the motion signal indicating motion is within a predetermined range and acquiring k-space data for a second portion of the k-space from the acquired image data irrespective of the predetermined range.

Abstract: An apparatus and method process image data, including motion corrupted data, from a magnetic resonance imaging procedure to obtain and reconstruct images for cardiac, cardiovascular, coronary arterial, and/or pulmonary vein diagnoses in a subject. The apparatus and method include a processor operating predetermined software which receives the image data, classifies the received image data as accepted image data or rejected image data, and applies a predetermined relationship between the accepted image data and the rejected image data to correct for motion of the subject and to generate and output a reconstructed image of the subject corrected for the motion from the image data, with the reconstructed image having a relatively high signal-to-noise ratio.

Abstract: A method and apparatus for MRI retrospective reconstruction determines a period of minimal coronary artery motion within the acquired temporal window with a rotation angle optimized for a K-space four-dimensional (4D) volume by a segmented 4D radial stack-of-stars (SOS) acquisition during a temporal acquisition window (taw). Radial stacks of the image of an object are acquired by performing the radial (SOS) acquisition to determine a plurality of kz plane samples of the object, in which each kz plane is repeatedly determined during a sub-window of the temporal acquisition window. Consecutive volumes of kz centric slices of the image at each temporal sub-window of the temporal acquisition window are generated and summed to fill a 3D k-space volume. The radial (SOS) acquisition of the image is determined utilizing a customized rotation angle ? providing a uniform distribution of k-space spokes of the kz centric slices for each sub-window of the (taw).

Abstract: An apparatus and method process magnetic resonance image (MRI) data and other data from a subject, including image data corresponding to at least one of angiographic data, four-dimensional blood flow, neurological blood flow, abdominal blood flow, and peripheral blood flow in the subject, and applies a compressed sensing (CS) reconstruction method utilizing a complex difference of the image data as a sparsifying transform for imaging of at least one of blood flow and magnetic resonance angiography to output a reconstructed image of the blood flow and magnetic resonance angiography, in the subject with increased processing speed and having high accuracy. The apparatus receives the MRI data of the fluid flow from an MRI device. The processor operates predetermined software, receives the MRI data, and applies the CS reconstruction method to generate the reconstructed image. An output device outputs the reconstructed image of the fluid flow.

Abstract: An apparatus and method process image data, including motion corrupted data, from a magnetic resonance imaging procedure to obtain and reconstruct images for cardiac, cardiovascular, coronary arterial, and/or pulmonary vein diagnoses in a subject. The apparatus and method include a processor operating predetermined software which receives the image data, classifies the received image data as accepted image data or rejected image data, and applies a predetermined relationship between the accepted image data and the rejected image data to correct for motion of the subject and to generate and output a reconstructed image of the subject corrected for the motion from the image data, with the reconstructed image having a relatively high signal-to-noise ratio.

Abstract: An apparatus and method process magnetic resonance image (MRI) data and other data from a subject, including image data corresponding to at least one of angiographic data, four-dimensional blood flow, neurological blood flow, abdominal blood flow, and peripheral blood flow in the subject, and applies a compressed sensing (CS) reconstruction method utilizing a complex difference of the image data as a sparsifying transform for imaging of at least one of blood flow and magnetic resonance angiography to output a reconstructed image of the blood flow and magnetic resonance angiography, in the subject with increased processing speed and having high accuracy. The apparatus receives the MRI data of the fluid flow from an MRI device. The processor operates predetermined software, receives the MRI data, and applies the CS reconstruction method to generate the reconstructed image. An output device outputs the reconstructed image of the fluid flow.