Abstract: Disclosed herein is a medical system (100, 300, 500) comprising: a memory (110) storing machine executable instructions (120) and a processor (104).

Abstract: Disclosed is a medical imaging system (100, 300). The execution of machine executable instructions (120) causes a processor (104) to: receive (200) measured magnetic resonance imaging data (122) descriptive of a first region of interest (307) of a subject (318); receive (202) a B0 map (124), a T1 map (126), a T2 map (128), and a magnetization map (130) each descriptive of a second region of interest (309) of the subject; receive (204) pulse sequence commands (132); calculate (206) a simulated magnetic resonance image (136) of an overlapping region of interest (311) using at least the B0 map, the T1 map, the T2 map, the magnetization map, and the pulse sequence commands as input to a Bloch equation model (134); and reconstruct (208) a corrected magnetic resonance image from the measured magnetic resonance imaging data for the overlapping region of interest by solving an inverse problem.

Abstract: The present disclosure relates to a method comprising: receiving (201) acquired k-space data of an object, reconstructing (203) an image from the acquired k-space data, generating (205) reconstructed k-space data from the reconstructed image, determining (207) delta k-space data as a difference between the acquired k-space data and the reconstructed k-space data, splitting (209) the k-space data into one or more data chunks, wherein each data chunk of the data chunks comprises a set of one or more samples having a set of k-space coordinates, for each set of k-space coordinates of the one or more sets of coordinates, selecting (211), from the delta k-space data, a residual data set having the set of k-space coordinates, inputting (213) at least part of the data chunks and corresponding residual data sets to a trained machine learning model, thereby obtaining from the trained machine learning model probabilities of motion corruption for each of the data chunks of the acquired k-space.

Abstract: A fat suppressed diffusion image determination apparatus, a corresponding method and a corresponding computer program determine a diffusion weighted magnetic resonance image (DWI) of an object. The fat suppressed diffusion image determination apparatus includes a diffusion reference image providing unit for providing a diffusion reference MR image of the object, a fat image determination unit for determining a fat image from the diffusion reference MR image, a diffusion weighted image providing unit for providing a diffusion weighted MR image of the object, a fat suppressed image determination unit for determining a fat suppressed diffusion weighted MR image using a combination of the diffusion weighted MR image and the fat image.

Abstract: The invention relates to a method of MR imaging of an object (10) positioned in an examination volume of a MR device (1). It is an object of the invention to enable fast spiral MR imaging with a defined T2 contrast.

Abstract: The present disclosure relates to a method comprising: providing a trained machine learning model. The trained machine learning model is configured for reconstructing images from input data. The method comprises: receiving (201) a multidimensional array comprising M dimensional acquired data; determining (205) a subset of values of at least one K selected dimension of the array; for each value of the subset determining (207) a M?K dimensional array comprising the acquired data corresponding to the value, resulting in a set of M?1 dimensional arrays; inputting (209) the set of M?K dimensional arrays to the trained machine learning model, and receive a reconstructed image from the trained machine learning model.

Abstract: A method of medical imaging including receiving k-space data that is divided into multiple k-space data groups, selecting one of the multiple k-space data groups as a reference k-space data group, and calculating spatial transform data for each of the multiple k-space data groups by inputting the multiple k-space data groups and the reference k-space data group into a transformation estimation module. The spatial transformation estimation module is configured for outputting spatial transform data descriptive of a spatial transform between a reference k-space data group and multiple k-space data groups in response to receiving the reference k-space data group and the multiple k-space data groups as input. The method further comprises reconstructing a corrected magnetic resonance image according to the magnetic resonance imaging protocol using the multiple k-space data groups and the spatial transform data for each of the multiple k-space data groups.

Abstract: A medical imaging system includes a memory for storing machine executable instructions. The medical imaging system further includes a processor for controlling the medical imaging system. Execution of the machine executable instructions causes the processor to: receive magnetic resonance image data acquired according to a CEST magnetic resonance imaging protocol, wherein the magnetic resonance image data includes voxels, wherein each of the voxels includes a measured Z-spectrum for a set of saturation frequency offsets; assign a motion likelihood map to each voxel by comparing the measured Z-spectrum of each voxel to predetermined criteria; and reconstruct a CEST magnetic resonance image using the magnetic resonance image data and the motion likelihood map.

Abstract: Disclosed herein is a medical system (100, 300, 500) comprising: a memory (110) storing machine executable instructions (120) and a processor (104).

Abstract: The invention relates to a method of MR imaging of an object (10) positioned in an examination volume of a MR device (1). It is an object of the invention to enable fast spiral MR imaging with a defined T2 contrast.

Abstract: Disclosed is a medical imaging system (100, 300). The execution of machine executable instructions (120) causes a processor (104) to: receive (200) measured magnetic resonance imaging data (122) descriptive of a first region of interest (307) of a subject (318); receive (202) a B0 map (124), a T1 map (126), a T2 map (128), and a magnetization map (130) each descriptive of a second region of interest (309) of the subject; receive (204) pulse sequence commands (132); calculate (206) a simulated magnetic resonance image (136) of an overlapping region of interest (311) using at least the B0 map, the T1 map, the T2 map, the magnetization map, and the pulse sequence commands as input to a Bloch equation model (134); and reconstruct (208) a corrected magnetic resonance image from the measured magnetic resonance imaging data for the overlapping region of interest by solving an inverse problem.

Abstract: The invention provides for a medical imaging system (100, 300). The medical imaging system (100, 300) comprises a processor (104).

Abstract: A method of medical imaging including receiving k-space data that is divided into multiple k-space data groups, selecting one of the multiple k-space data groups as a reference k-space data group, and calculating spatial transform data for each of the multiple k-space data groups by inputting the multiple k-space data groups and the reference k-space data group into a transformation estimation module. The spatial transformation estimation module is configured for outputting spatial transform data descriptive of a spatial transform between a reference k-space data group and multiple k-space data groups in response to receiving the reference k-space data group and the multiple k-space data groups as input. The method further comprises reconstructing a corrected magnetic resonance image according to the magnetic resonance imaging protocol using the multiple k-space data groups and the spatial transform data for each of the multiple k-space data groups.

Abstract: The invention provides for a medical imaging system (100, 300) comprising a memory (110) for storing machine executable instructions (120). The medical imaging system further comprises a processor (104) for controlling the medical imaging system. Execution of the machine executable instructions causes the processor to: receive (200) magnetic resonance image data (122) acquired according to a CEST magnetic resonance imaging protocol, wherein the magnetic resonance image data comprises voxels, wherein each of the voxels comprises a measured Z-spectrum (500) for a set of saturation frequency offsets (502, 504, 504?, 506, 506?, 508, 510); assign (202) a motion likelihood map (126) to each voxel by comparing the measured Z-spectrum of each voxel to predetermined criteria; and reconstruct (204) a CEST magnetic resonance image (128) using the magnetic resonance image data and the motion likelihood map.

Abstract: The invention relates to a fat suppressed diffusion image determination apparatus, a corresponding method and a corresponding computer program, for determining a diffusion weighted magnetic resonance image (DWI) of an object (10), the fat suppressed diffusion image determination apparatus (100) comprising: a diffusion reference image providing unit (110) for providing a diffusion reference MR image of the object (10), a fat image determination unit (120) for determining a fat image from the diffusion reference MR image, a diffusion weighted image providing unit (130) for providing a diffusion weighted MR image of the object, a fat suppressed image determination unit (140) for determining a fat suppressed diffusion weighted MR image using a combination of the diffusion weighted MR image and the fat image. The invention allows for a robust fat suppression in diffusion MRI with improved SNR and scan time trade-off.

Abstract: A bridge member containing MR responsive material is provided in an open space between body parts to establish a correspondence between the body parts. The MR responsive material generates magnetic resonance signals in response the RF excitation, so that between the separate body parts via the bridge member magnetic resonance signal are obtained from positions between which there is at most a limited spatial variation of the main magnetic field, so that phase ambiguities between the signals from these positions are avoided. Thus, chemical shift separation, notably water-fat separation though a region-of-interest containing several (both) body parts may rely on a smoothness condition imposed on the spatial distribution of the main magnetic field. This avoids artefacts, such as water-fat swaps when separating water and fat contributions in the reconstructed magnetic resonance image.

Abstract: The invention relates to a magnetic resonance imaging system (100). The magnetic resonance imaging system (100) comprises a memory (134) and a processor (130). The memory (134) stores machine executable instructions (140), first pulse sequence commands (142) and second pulse sequence commands (144). Execution of the machine executable instructions (140) by the processor (130) causing the processor (130) to control the magnetic resonance imaging system (100) to acquire identifying magnetic resonance data (146) using the first pulse sequence commands (142). The identifying magnetic resonance data (146) identifies on a per voxel basis, whether the respective voxel is water or fat dominated. Imaging magnetic resonance data (148) is acquired using the second pulse sequence commands (144). A magnetic resonance image (150) is reconstructed using the imaging magnetic resonance data (148).

Abstract: A magnetic resonance imaging system (200, 300, 400) includes a radio-frequency system (216, 214) with multiple coil elements (214) for acquiring magnetic resonance data (264) and a memory (250) for storing machine executable instructions (260) and pulse sequence commands (262). The pulse sequence commands are configured for controlling the magnetic resonance imaging system to acquire the magnetic resonance data according to a SENSE imaging protocol.

Abstract: A magnetic resonance (MR) imaging technique enables parallel imaging in combination with fat suppression at an increased image quality, notably in combination with EPI. The method includes acquiring reference MR signal data from the object in a pre-scan and acquiring imaging MR signal data from the object in parallel via one or more receiving coils having different spatial sensitivity profiles. The MR signal data are acquired with sub-sampling of k-space and with spectral fat suppression and an MR image is reconstructed from the imaging MR signal data. Sub-sampling artefacts are eliminated using sensitivity maps indicating the spatial sensitivity profiles of the two or more RF receiving coils. A B0 map is derived from the reference MR signal data and the spatial dependence of the effectivity of the spectral fat suppression is determined using the Bo map.

Abstract: A Dixon water/fat separation technique, in particular in combination with a single-point acquisition scheme, avoids swaps of water and fat signals in the reconstructed MR images due to imperfections of the main magnetic field B0. Echo signals are generated and acquired in a pre-scan by subjecting an object (10) to a two or more point imaging sequence. A fat fraction map is derived from the echo signals of the pre-scan. Echo signals are generated and acquired in a clinical scan by subjecting the object (10) to a single-point imaging sequence. A field map estimate is derived from the fat fraction map and from the echo signals of the clinical scan. An MR image is reconstructed from the echo signals of the clinical scan. Signal contributions from fat and water are separated on the basis of the field map estimate.