Abstract: Disclosed herein is a medical system (100, 300). The execution of machine executable instructions (120) causes a processor (104) to: receive (200) measured gradient echo k-space data (122); receive (202) an off-resonance phase map (124); reconstruct (204) an initial image (126) from the measured gradient echo k-space data; calculate (206) an upsampled phase map (128) from the off-resonance phase map; calculate (208) an upsampled image (130) from the initial image; calculating (210) a modulated image (132) by modulating the upsampled image with the upsampled phase map; calculate (212) a corrected image (134) comprising iteratively. The iterative calculation comprises: calculating (214) updated k-space data by applying a data consistency algorithm (138) to a k-space representation of the modulated image and the measured gradient echo k-space data and calculating (216) an updated image (142) from the updated k-space data.

Abstract: Disclosed is a medical system (100, 300, 500, 700) comprising: a memory (128) storing machine executable instructions (130); a processor (122) configured for controlling the medical system; and a pilot tone system (106). The pilot tone system comprises a radio frequency system (108) comprising multiple transmit channels (110) and multiple receive channels (112). The multiple transmit channels are configured for each transmitting unique pilot tone (132) signals via multiple transmit coils. The multiple receive channels are configured for receiving multi-channel pilot tone data (134) via multiple receive coils.

Abstract: Disclosed herein is a medical system (100, 300). The execution of machine executable instructions (120) causes a processor (104) to: receive (200) measured gradient echo k-space data (122); receive (202) an off-resonance phase map (124); reconstruct (204) an initial image (126) from the measured gradient echo k-space data; calculate (206) an upsampled phase map (128) from the off-resonance phase map; calculate (208) an upsampled image (130) from the initial image; calculating (210) a modulated image (132) by modulating the upsampled image with the upsampled phase map; calculate (212) a corrected image (134) comprising iteratively. The iterative calculation comprises: calculating (214) updated k-space data by applying a data consistency algorithm (138) to a k-space representation of the modulated image and the measured gradient echo k-space data and calculating (216) an updated image (142) from the updated k-space data.

Abstract: The invention provides for a magnetic resonance imaging system (100) for acquiring magnetic resonance data (142) from a subject (118) within a measurement zone (108). The magnetic resonance imaging system (100) comprises: a processor (130) for controlling the magnetic resonance imaging system (100) and a memory (136) storing machine executable instructions (150, 152, 154), pulse sequence commands (140) and a dictionary (144). The pulse sequence commands (140) are configured for controlling the magnetic resonance imaging system (100) to acquire the magnetic resonance data (142) of multiple steady state free precession (SSFP) states per repetition time. The pulse sequence commands (140) are further configured for controlling the magnetic resonance imaging system (100) to acquire the magnetic resonance data (142) of the multiple steady state free precession (SSFP) states according to a magnetic resonance fingerprinting protocol. The dictionary (144) comprises a plurality of tissue parameter sets.

Abstract: The invention provides for a medical imaging system comprising: a memory for storing machine executable instructions; a processor for controlling the medical instrument. Execution of the machine executable instructions causes the processor to: receive MRF magnetic resonance data acquired according to an MRF magnetic resonance imaging protocol of a region of interest; reconstruct an MRF vector for each voxel of a set of voxels descriptive of the region of interest using the MRF magnetic resonance data according to the MRF magnetic resonance imaging protocol; calculate a preprocessed MRF vector (126) for each of the set of voxels by applying a predetermined preprocessing routine to the MRF vector for each voxel, wherein the predetermined preprocessing routine comprises normalizing the preprocessed MRF vector for each voxel; calculate an outlier map for the set of voxels by assigning an outlier score to the preprocessed MRF vector using a machine learning algorithm.

Abstract: Disclosed is a medical system (100, 300, 500, 700) comprising: a memory (128) storing machine executable instructions (130); a processor (122) configured for controlling the medical system; and a pilot tone system (106). The pilot tone system comprises a radio frequency system (108) comprising multiple transmit channels (110) and multiple receive channels (112). The multiple transmit channels are configured for each transmitting unique pilot tone (132) signals via multiple transmit coils. The multiple receive channels are configured for receiving multi-channel pilot tone data (134) via multiple receive coils.

Abstract: Disclosed is an X-ray system (100, 700) configured for acquiring medical imaging data (134) from a subject (102) at least partially within an imaging zone (105). The X-ray system comprises a memory (128) storing machine executable instructions (130). The X-ray system further comprises a processor (122) configured for controlling the X-ray system. The X-ray system further comprises a pilot tone system (106), wherein the pilot tone 5 system comprises a radio frequency system (108) comprising multiple transmit channel (110) and multiple receive channel (112). The multiple transmit channel is configured for transmitting multiple pilot tone signal (136) via multiple transmit coil (114). The multiple receive channel is configured for receiving pilot tone data (138) via multiple receive coil (116).

Abstract: An iterative reconstruction is performed of multiple gradient echo MR imaging data to generate a reconstructed MR image (36). The iterative reconstruction uses a model (30) that links the MR imaging data and the reconstructed MR image. The model includes a parameterized magnetic field fluctuation component (32). During the performing of the iterative reconstruction, parameters of the parameterized magnetic field fluctuation component of the model are updated to optimize a cost function (40) dependent on partial derivatives of the reconstructed MR image with respect to the parameters of the parameterized magnetic field fluctuation component of the model. The image may be further processed to generate an R2* map (50), an SWI image (52), or a QSM map (54).

Abstract: A magnetic resonance imaging (MRI) system includes a memory for storing machine executable instructions and MRF pulse sequence commands. The MRF pulse sequence commands are configured for controlling the MRI system to acquire MRF magnetic resonance data according to a magnetic resonance fingerprinting protocol. The memory further includes a Fourier transformed magnetic resonance finger printing dictionary. The finger printing dictionary includes entries for at least one intrinsic property.

Abstract: The invention provides for an MRI system (100) with an RF system for acquiring magnetic resonance data (142). The RF system comprises a set of antenna elements (126). The MRI system (100) further comprises a processor for controlling the MRI system (100). Magnetic resonance data is acquired. Combined image data (144) is reconstructed. The reconstruction comprises transforming the acquired magnetic resonance data (142) from k-space to image space and combining the resulting image data. For each antenna element (126) magnetic resonance data (146) is simulated using the reconstructed combined image data (144). The simulation comprises transforming the reconstructed combined image data (144) from image space to k-space. A phase correction factor is determined, The determination comprises calculating phase differences between the acquired magnetic resonance data (142) and the simulated magnetic resonance data (146). The acquired magnetic resonance data (142) is corrected using the phase correction factor.

Abstract: A processor controls an MRI system with pulse sequence commands to acquire magnetic resonance data according to a magnetic resonance fingerprinting protocol during multiple pulse repetitions. The pulse sequence commands control the magnetic resonance imaging system to cause gradient induced spin rephasing at least twice during each of the multiple pulse repetitions, and to acquire at least two magnetic resonance signals during each of the multiple pulse repetitions. Each of the at least two magnetic resonance signals is measured during a separate one of the gradient induced spin rephasing. The magnetic resonance data includes the at least two magnetic resonance signals acquired during each of the multiple pulse repetitions. The processor further at least partially calculates a B0-off-resonance map using the magnetic resonance data, and generates at least one magnetic resonance parametric map by comparing the magnetic resonance data with a magnetic resonance fingerprinting dictionary.

Abstract: The invention provides for a magnetic resonance imaging system (100) comprising a memory (134) for storing machine executable instructions (140) and pulse sequence commands (142). The pulse sequence commands are configured for controlling the magnetic resonance imaging system according to a DCE Magnetic Resonance Imaging protocol. The magnetic resonance imaging system further comprises a user interface (200) and a processor (130) for controlling the magnetic resonance imaging system.

Abstract: The invention provides for a medical imaging system comprising: a memory for storing machine executable instructions; a processor for controlling the medical instrument. Execution of the machine executable instructions causes the processor to: receive MRF magnetic resonance data acquired according to an MRF magnetic resonance imaging protocol of a region of interest; reconstruct an MRF vector for each voxel of a set of voxels descriptive of the region of interest using the MRF magnetic resonance data according to the MRF magnetic resonance imaging protocol; calculate a preprocessed MRF vector (126) for each of the set of voxels by applying a predetermined preprocessing routine to the MRF vector for each voxel, wherein the predetermined preprocessing routine comprises normalizing the preprocessed MRF vector for each voxel; calculate an outlier map for the set of voxels by assigning an outlier score to the preprocessed MRF vector using a machine learning algorithm.

Abstract: The invention relates to a magnetic resonance imaging system (10), the system comprising a magnetic resonance imaging device (12) for acquiring data from a moving subject (14), especially a fetus or a part of said fetus; and an image generator (30) for generating an image of said moving subject (14), wherein the magnetic resonance imaging device (12) is configured to acquire the data from the subject (14) at different positions of said subject (14) with respect to a magnetization direction B0, utilizing the movement of the subject (14); and wherein the image generator (30) is configured to —determine the position and/or orientation of said subject (14) during the respective data acquisition; —reconstruct phase images from the acquired data; and —generate a susceptibility map based on the reconstructed phase images. The invention further relates to a corresponding method for generating an image of the subject (14).

Abstract: The invention provides for a medical imaging system (100, 400) comprising: a memory (112) for storing machine executable instructions and a processor (106) for controlling the medical imaging system.

Abstract: The invention provides for an MRI system (100) with an RF system for acquiring magnetic resonance data (142). The RF system comprises a set of antenna elements (126). The MRI system (100) further comprises a processor for controlling the MRI system (100). Magnetic resonance data is acquired. Combined image data (144) is reconstructed. The reconstruction comprises transforming the acquired magnetic resonance data (142) from k-space to image space and combining the resulting image data. For each antenna element (126) magnetic resonance data (146) is simulated using the reconstructed combined image data (144). The simulation comprises transforming the reconstructed combined image data (144) from image space to k-space. A phase correction factor is determined, The determination comprises calculating phase differences between the acquired magnetic resonance data (142) and the simulated magnetic resonance data (146). The acquired magnetic resonance data (142) is corrected using the phase correction factor.

Abstract: The invention relates to a magnetic resonance imaging system (100, 400) comprising a memory (134) for storing machine executable instructions (140) and MRF pulse sequence commands (142). The MRF pulse sequence commands are configured for controlling the magnetic resonance imaging system to acquire MRF magnetic resonance data (144) according to a magnetic resonance fingerprinting protocol. The memory further contains a Fourier transformed magnetic resonance finger printing dictionary (150). The Fourier transformed magnetic resonance finger printing dictionary comprises entries for at least one intrinsic property (152). The magnetic resonance imaging system further comprises a processor (130) for controlling the magnetic resonance imaging system.

Abstract: The invention provides for a magnetic resonance imaging system (100) for acquiring magnetic resonance data (142) from a subject (118) within a measurement zone (108). The magnetic resonance imaging system (100) comprises: a processor (130) for controlling the magnetic resonance imaging system (100) and a memory (136) storing machine executable instructions (150, 152, 154), pulse sequence commands (140) and a dictionary (144). The pulse sequence commands (140) are configured for controlling the magnetic resonance imaging system (100) to acquire the magnetic resonance data (142) of multiple steady state free precession (SSFP) states per repetition time. The pulse sequence commands (140) are further configured for controlling the magnetic resonance imaging system (100) to acquire the magnetic resonance data (142) of the multiple steady state free precession (SSFP) states according to a magnetic resonance fingerprinting protocol. The dictionary (144) comprises a plurality of tissue parameter sets.

Abstract: The invention provides for a magnetic resonance imaging system (100) comprising a memory (134) for storing machine executable instructions (140) and pulse sequence commands (142). The pulse sequence commands are configured for controlling the magnetic resonance imaging system according to a DCE Magnetic Resonance Imaging protocol. The magnetic resonance imaging system further comprises a user interface (200) and a processor (130) for controlling the magnetic resonance imaging system.

Abstract: The invention provides for a magnetic resonance imaging system (100). Machine executable instructions cause a processor controlling the MRI system to control (200) the magnetic resonance imaging system with the pulse sequence commands to acquire the magnetic resonance data. The pulse sequence commands are configured for controlling the magnetic resonance imaging system to acquire the magnetic resonance data according to a magnetic resonance fingerprinting protocol. The pulse sequence commands are configured for controlling the magnetic resonance imaging system to acquire the magnetic resonance data during multiple pulse repetitions (302). The pulse sequence commands are configured for controlling the magnetic resonance imaging system to cause gradient induced spin rephasing at least twice during each of the multiple pulse repetitions using a gradient magnetic field generating system (110, 112).