Abstract: The present invention describes a method for simulation of a magnetic resonance (MR) scanner in an MRI simulator, said method comprising—input of data parameters into a web interface of the MRI simulator, wherein the input of data parameters is at least a pulse sequence and an anatomical model;—connection of the web interface with a cloud-based simulator engine of the MRI simulator for transfer of data parameters to the cloud-based simulator engine, said method involving—importing a pulse sequence calculation model;—setting input data; and—performing a slice selection in an obtained image in the web interface; said method also involving—recalculation of the data parameters for the provision of one or more simulated MR signals, said recalculation being performed in the loud, and wherein the method also comprises—reconstruction of an MR image based on said one or more simulated MR signals, said econstruction of an MR image being performed in the cloud; and—sending the MR image to the web interface.

Abstract: The present invention describes method directed to magnetic resonance (MR) imaging simulation, said method comprising—creating an empty 3D slice corresponding to a prescribed slice;—placing the empty 3D slice on the transversal XY plane of an image of an anatomical model;—calculating steps of rotation and translation that if applied would bring a volume-of-interest on the transversal XY plane;—calculating steps for undoing the rotation and translation performed;—applying the steps for undoing the rotation and translation performed on the empty 3D slice so as to bring it at the position of the prescribed slice in 3D space; and—calculating interpolated values of properties of the anatomical model at points of the empty 3D slice which have been placed at the position of the prescribed slice in 3D space, preferably wherein the method also involves a subsequent step of one-to-one matching of the calculated interpolated values with the corresponding points of the empty 3D slice on the transversal XY plane before ca

Abstract: The present invention describes a method for generation of training datasets for artificial intelligence (AI) applications in MRI (Magnetic Resonance Imaging), said method comprising providing an MRI simulator; providing input to the MRI simulator, said input being in the form of a pulse sequence and a computer-based anatomical model; executing the MRI simulator and thus producing a simulated artificial MR image; repeating the same procedure with different pulse sequences and/or the same pulse sequence, wherein when using the same pulse sequence then amending the characteristics of the same pulse sequence and/or amending the characteristics of the MR simulation when executing the MRI simulator; optionally also by amending the characteristics of the anatomical model; optionally also by amending the position and/or orientation of a plane/volume of interest of the anatomical model; optionally also by amending the characteristics of the MR simulation when executing the MRI simulator; obtaining produced MR i

Abstract: Magnetic resonance imaging method and apparatus are provided for mapping the internal or bulk motion of an object by labeling the phase of a specimen magnetization with a selected spatial function and measuring changes in the phase of the magnetization. The spatial function is selectable to provide magnetization phase modulation corresponding to displacements in a selected direction, such as a radial or azimuthal direction. Methods and apparatus for producing images based on magnetization phase modulation acquire image data based on stimulated echos and stimulated anti-echos. In an embodiment, a series of 180 degree pulses produces alternating stimulated and stimulated anti-echos that are measured and assigned to respective images.

Abstract: A method for obtaining an image by MRI, comprising: administering at least one contrast agent to a subject in amounts effective to perform CEDST MRI analysis; and performing CEDST MRI analysis to produce an image of the subject. A number of different contrast agents can be used to practice the present method including, without limitation, sugars, amino acids, nitrogen-containing heterocycles, purines and pyrimidines, nucleosides; imidazole and derivatives thereof, imino acids, barbituric acid and analogs thereof, and miscellaneous materials, such as guanidine hydantoin, parabanic acid, and biologically active salts thereof.