Toshiba Medical Systems Corporation

Canon Medical Systems Corporation

Aiming Lu

Mitsue Miyazaki

Xiangzhi Zhou

Cheng Ouyang

Yihang Zhou

A magnetic resonance imaging apparatus according to an embodiment includes sequence control circuitry and processing circuitry. The sequence control circuitry executes a first pulse sequence and a second pulse sequence, the first pulse sequence including a first spoiler pulse serving as a dephasing gradient pulse of a first amount, the second pulse sequence including a second spoiler pulse serving as a dephasing gradient pulse of a second amount being different from the first amount or the second pulse sequence not including a spoiler pulse serving as a dephasing gradient pulse. The processing circuitry performs a subtraction operation between a first data obtained from the first pulse sequence and a second data obtained from the second pulse sequence, thereby generating an image.

Magnetic resonance imaging apparatus and magnetic resonance imaging method

A magnetic resonance imaging method executed in a magnetic resonance imaging apparatus according to an embodiment comprises: applying an inversion pulse; executing a subsequent imaging sequence including an RF (Radio Frequency) pulse and a gradient magnetic field concurrently applied with the RF pulse in a slice direction and performing, for a slice position selected by the RF pulse and the gradient magnetic field and during a time period including a null point, data acquisition in a plurality of orientations including a center of a two-dimensional k-space.

Magnetic resonance imaging method

A magnetic resonance imaging (MRI) system, process, display processing system and/or computer readable medium with stored program code structure thereon is configured to provide for obtaining a composite image which simultaneously includes information from a magnitude MR image and a phase MR image. The composite image is generated by assigning a first color display channel to the magnitude MR image and a second color display channel to the phase MR image, and generating the composite image by assigning to respective pixels in the composite image color values based upon a combination of corresponding pixels in the assigned first and second color display channels.

Merging magnetic resonance (MR) magnitude and phase images

Magnetic resonance imaging (MRI) systems and methods to effect improved MR image reconstruction for undersampled data acquisitions are described. The improved MR image reconstruction is performed by iteratively using compressed sensing to reconstruct an MR image based upon at least one sensitivity map by minimizing a predetermined function which is based upon the MR image and coefficients of the at least one sensitivity map, and updating the at least one sensitivity map by minimizing the predetermined function.

Magnetic resonance image reconstruction for undersampled data acquisitions

A magnetic resonance imaging (MRI) system, method and/or computer readable medium is configured to effect magnetic resonance angiography (MRA) images with reduced motion artifacts includes acquiring a plurality of k-space data sets by traversing a plurality of radial trajectories in three-dimensional (3D) k-space, generating a plurality of 3D MR images derived from k-space populated by the k-space data sets, aligning the 3D MR images with respect to each other, determining one or more motion parameters for the object based upon the aligning, modifying values of k-space data sets using the determined one or more motion parameters, generating a motion-corrected 3D MR image from a combination of acquired k-space data sets including the modified values.

Motion correction for magnetic resonance angiography (MRA) with 3D radial acquisitions

A magnetic resonance imaging (MRI) system, method and/or computer readable medium is configured to effect MR imaging based upon arterial spin labeling (ASL) using a tagging image and a control image. The tagging image is based upon applying a tagging pulse train including a plurality of saturation pulses to a tagging area followed by applying a first imaging pulse train to an imaging area; and the control image is based upon applying a control pulse train to a control area followed by applying a second imaging pulse train to the imaging area. The tagging area, the control area, and the imaging area are located at respectively different positions in relation to the object being imaged.

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Vernon Hills, IL, United States of America

Aiming Lu