Abstract:
The invention relates to a parallel MR imaging method in which first a first MR imaging sequence is formed with a selectable minimum number of phase encoding steps and at least two separate MR signal data sets are acquired by means of at least two MR receiving coils. A first MR image is reconstructed from this data while taking into account the spatial sensitivity profiles of the MR receiving coils. In order to improve parallel MR imaging methods of this kind, the invention proposes to evaluate the quality of the reconstructed MR image in a subsequent step of the method and, in dependence upon the result of the evaluation, to either terminate the imaging method or to form a further MR imaging sequence with a number of further phase encoding steps. This procedure can be continued until an adequate MR image quality is reached.
Abstract:
The invention relates to a parallel MR imaging method in which first a first MR imaging sequence is formed with a selectable minimum number of phase encoding steps and at least two separate MR signal data sets are acquired by means of at least two MR receiving coils. A first MR image is reconstructed from this data while taking into account the spatial sensitivity profiles of the MR receiving coils. In order to improve parallel MR imaging methods of this kind, the invention proposes to evaluate the quality of the reconstructed MR image in a subsequent step of the method and, in dependence upon the result of the evaluation, to either terminate the imaging method or to form a further MR imaging sequence with a number of further phase encoding steps. This procedure can be continued until an adequate MR image quality is reached.
Abstract:
The invention relates to a parallel MR imaging method in which first a first MR imaging sequence is formed with a selectable minimum number of phase encoding steps and at least two separate MR signal data sets are acquired by means of at least two MR receiving coils. A first MR image is reconstructed from this data while taking into account the spatial sensitivity profiles of the MR receiving coils. In order to improve parallel MR imaging methods of this kind, the invention proposes to evaluate the quality of the reconstructed MR image in a subsequent step of the method and, in dependence upon the result of the evaluation, to either terminate the imaging method or to form a further MR imaging sequence with a number of further phase encoding steps. This procedure can be continued until an adequate MR image quality is reached.
Abstract:
A method for selective imaging of body structures includes acquiring first image data set by a first tomography method, acquiring a second image data set by a second tomography method which has a resolution which is higher than that of the first method, the image data of the first and the second image data set coinciding at least partly in space, reconstructing an image from the first image data set, and selecting the image data to be reconstructed from the first image data set using the second image data set. In order to achieve a higher imaging quality while using a low-resolution tomography method, image reconstruction of the image data selected from the first image data set at least one image region to be imaged is selected from the second image data set, and subsequently the image reconstruction is calculated from the image data of the first image data set which are situated in the selected image region.
Abstract:
A method for selective imaging of body structures includes acquiring first image data set by a first tomography method, acquiring a second image data set by a second tomography method which has a resolution which is higher than that of the first method, the image data of the first and the second image data set coinciding at least partly in space, reconstructing an image from the first image data set, and selecting the image data to be reconstructed from the first image data set using the second image data set. In order to achieve a higher imaging quality while using a low-resolution tomography method, image reconstruction of the image data selected from the first image data set at least one image region to be imaged is selected from the second image data set, and subsequently the image reconstruction is calculated from the image data of the first image data set which are situated in the selected image region.
Abstract:
A method for selective imaging of body structures includes acquiring first image data set by a first tomography method, acquiring a second image data set by a second tomography method which has a resolution which is higher than that of the first method, the image data of the first and the second image data set coinciding at least partly in space, reconstructing an image from the first image data set, and selecting the image data to be reconstructed from the first image data set using the second image data set. In order to achieve a higher imaging quality while using a low-resolution tomography method, image reconstruction of the image data selected from the first image data set at least one image region to be imaged is selected from the second image data set, and subsequently the image reconstruction is calculated from the image data of the first image data set which are situated in the selected image region.
Abstract:
A method for selective imaging of body structures includes acquiring first image data set by a first tomography method, acquiring a second image data set by a second tomography method which has a resolution which is higher than that of the first method, the image data of the first and the second image data set coinciding at least partly in space, reconstructing an image from the first image data set, and selecting the image data to be reconstructed from the first image data set using the second image data set. In order to achieve a higher imaging quality while using a low-resolution tomography method, image reconstruction of the image data selected from the first image data set at least one image region to be imaged is selected from the second image data set, and subsequently the image reconstruction is calculated from the image data of the first image data set which are situated in the selected image region.
Abstract:
The invention relates to a magnetic resonance imaging apparatus comprising an array of two or more RF antennas(9) for transmitting RF pulses to and receiving MR signals from a body(7) of a patient positioned in an examination volume (2), the RF antennas (9) having spatial transmit and receive sensitivity profiles. The apparatus is arranged to: -control the temporal succession, the phase, and the amplitude of the RF feeding of each individual RF antenna (9), the phases and amplitudes being determined from the spatial transmit sensitivity profiles of the RF antennas(9), and -reconstruct a MR image from a combination of the received MR signals received via the individual RF antennas(9) and from the spatial receive sensitivity profiles of the RF antennas(9). The invention proposes that the apparatus is further arranged to: -determine the spatial transmit sensitivity profiles of the RF antennas (9) from the spatial receive sensitivity profiles of the RF antennas (9), or -determine the spatial receive sensitivity profiles of the RF antennas (9) from the spatial transmit sensitivity profiles of the RF antennas (9).
Abstract:
A method and a monitoring device for performing an RF-safe MIT scan is disclosed in which it is prevented that an RF exposure, especially a specific absorption rate (SAR), imposed on an examination object, especially a patient, exceeds certain limit values during a magnetic induction tomography (MIT) scan. This is achieved on the one hand by an RF simulation method for simulating intended MIT operating parameters and calculating a resulting RF exposure of the object, and on the other hand by a monitoring device for monitoring the RF power which is applied to the object.
Abstract:
An electric impedance imaging system is presented in which the electrical permittivity and/or conductivity distribution is derived on the basis of magnetic resonance signals. The magnetic resonance signals are generated due to an excitation electro-magnetic field. Notably, a magnetic induction field strength is derived from the acquired magnetic resonance signals. Also the electrical field strength associated with the excitation electro-magnetic field is computed. The electrical permittivity and/or conductivity distribution is computed on the basis of the electric field strength and the magnetic induction field strength.