Patent classifications
G01R33/5619
Magnetic resonance imaging apparatus and magnetic resonance imaging method
A magnetic resonance imaging apparatus according to an embodiment includes sequence control circuitry. The sequence control circuitry executes a first pulse sequence that acquires data by radial sampling. The sequence control circuitry executes a second pulse sequence a plurality of times by changing a frequency of magnetization transfer (MT) pulses, the second pulse sequence acquiring data by Cartesian sampling after applying an MT pulse.
Wireless-type RF coil apparatus comprising an RF transducer array and a magnetic field probe array
A system for controlling a wireless-type radio frequency (RF) coil apparatus (102, 202, 302, 500) for a magnetic resonance (MR) system including a processor for acquiring emitted radio frequency (RF) signals from a plurality of coils of an RF transducer array including an indication of a local clock signal indicating a time of (RF) signal acquisition; acquiring magnetic field strength information from a plurality of field probes of a magnetic field probe array including an indication of the local clock signal indicating a time of magnetic field strength information acquisition, and forming k-space information based upon the acquired emitted RF signals from the plurality of coils of the RF transducer array and the acquired magnetic field strength information including the indications of the local clock signal.
Imaging systems and methods
An imaging method may include obtaining imaging data associated with a region of interest (ROI) of an object. The imaging data may correspond to a plurality of time-series images of the ROI. The imaging method may also include determining, based on the imaging data, a data set including a spatial basis and one or more temporal bases. The spatial basis may include spatial information of the imaging data. The one or more temporal bases may include temporal information of the imaging data. The imaging method may also include storing, in a storage medium, the spatial basis and the one or more temporal bases.
SELECTIVE SAMPLING FOR ASSESSING STRUCTURAL SPATIAL FREQUENCIES WITH SPECIFIC CONTRAST MECHANISMS
The disclosed embodiments provide a method for acquiring MR data at resolutions down to tens of microns for application in in vivo diagnosis and monitoring of pathology for which changes in fine tissue textures can be used as markers of disease onset and progression. Bone diseases, tumors, neurologic diseases, and diseases involving fibrotic growth and/or destruction are all target pathologies. Further the technique can be used in any biologic or physical system for which very high-resolution characterization of fine scale morphology is needed. The method provides rapid acquisition of signal at selected values in k-space, with multiple successive acquisitions at individual k-values taken on a time scale on the order of microseconds, within a defined tissue volume, and subsequent combination of the multiple measurements in such a way as to maximize SNR. The reduced acquisition volume, and acquisition of only signal values at select places in k-space, along selected directions, enables much higher in vivo resolution than is obtainable with current MRI techniques.
Combining multiple MRI data acquisitions having different B1 inhomogeneities
A magnetic resonance imaging apparatus according to an embodiment includes a first acquiring unit, a second acquiring unit, and a combining unit. The first acquiring unit is configured to acquire data by executing a pulse sequence based on a first radio-frequency pulse transmission condition. The second acquiring unit is configured to acquire data by executing a pulse sequence based on a second radio-frequency pulse transmission condition that is different from the first radio-frequency pulse transmission condition. The combining unit is configured to perform a combining process either on the data acquired by the first acquiring unit and the data acquired by the second acquiring unit or on data obtained by reconstructing the data acquired by the first acquiring unit and data obtained by reconstructing the data acquired by the second acquiring unit.
MEDICAL IMAGE DIAGNOSTIC APPARATUS, MEDICAL SIGNAL RESTORATION METHOD, AND MODEL TRAINING METHOD
According to one embodiment, a medical image diagnostic apparatus includes processing circuitry. The processing circuitry configured to generate initial restored signal data by applying a first restoration function to input signal data corresponding to medical signal data concerning an object, generate first element-wise product signal data by calculating an element-wise product of the initial restored signal data and reliability data representing a degree of degradation included in the input signal data, and generate restored signal data by applying a second restoration function to at least one of the input signal data and the initial restored signal data and the first element-wise product signal data.
Method and system for generating MR images of a moving object in its environment
MR images (10, 20) of an object in its environment within a region of interest are generated. The object executes motion including a plurality of moving phases within a period of time. The method includes the steps of: generating a first image (10) of a region of interest from the first dataset (S2); identifying a dynamic region (12) and a static region (14) inside the first image (10) (S3); editing the first image (10) by masking out the dynamic region (14) (S4); performing an inverse Fourier transformation of the edited first image (16) showing the remaining static region (14) (S5); subtracting the inverse Fourier transformation of the edited first image (16) with the remaining static region (14) from a second dataset (S7) pertaining to one of the moving phases of the object (S6); performing a Fourier transformation on the subtracted second dataset (18) (S8); and generating a second image (20) of a reduced region of interest with respect to the region of interest of the first image (10), which reduced region of interest includes the dynamic region (12) (S9).
METHOD AND APPARATUS FOR THE RECORDING AND RECONSTRUCTION OF A FOUR-DIMENSIONAL DYNAMIC MAGNETIC RESONANCE IMAGE DATA RECORD
In a method and apparatus for acquiring and reconstructing a four-dimensional dynamic magnetic resonance (MR) image data record, MR data are continuously acquired by radial scanning of an examination region along radial k-space lines, and a dynamic region of the examination region, in which said dynamic procedure is relevant, is determined, as well as a non-dynamic region, which is not relevant to the dynamic procedure. Static image data are reconstructed from all of the acquired MR data, and image data therein originating from the non-dynamic region are marked and are then not used for reconstructing a dynamic image data record for the dynamic region.
MRI system and method for performing time resolved MR imaging of an object with grouped data acquisition
An MRI system for performing time resolved MR imaging of an object with grouped data acquisition is provided. The MRI system includes an MRI controller in electronic communication with a magnet assembly and operative to sample a group of data points within a first region of a k-space. The first region includes a central sub-region and a first peripheral sub-region. The MRI controller is further operative to sample a group of data points within a second region of the k-space. The second region includes the central sub-region and a second peripheral sub-region different from the first peripheral sub-region.
METHOD FOR VARYING UNDERSAMPLING DIMENSION FOR ACCELERATING MULTIPLE-ACQUISITION MAGNETIC RESONANCE IMAGING AND DEVICE FOR THE SAME
Provided is an MRI image generation method including: acquiring first phase encoding lines obtained by undersampling along a first direction using an MRI device; acquiring second phase encoding lines obtained by undersampling in a second direction different from the first direction using the MRI device; generating a first MRI image based on the first phase encoding lines and the second phase encoding lines; and generating a second MRI image different from the first MRI image based on the first phase encoding lines and the second phase encoding lines.