Three-dimensional slice-selective multi-slice excitation method in MRT imaging
In a method and apparatus for MRT imaging, data sets acquired from magnetic resonance signals of at least two limited spatial regions of a subject to be examined, (the spatial regions being displaced relative to one another along one spatial direction and overlapping in the respective edge region. Phase coding occurs in an inhomogeneous non-edge region, likewise in this spatial direction. For at least one of these spatial regions, a modulation function is determined that is limited to this entire spatial region and modulates the subject information. Foldovers in the overlap regions of the different spatial regions are calculated on the basis of the modulation function and the MRT images of the non-edge regions of the respective spatial regions are combined without foldovers in the spatial direction under consideration of the calculated foldings.
1. A magnetic resonance tomography imaging method comprising the steps of:
acquiring respective data sets from magnetic resonance signals of at least two limited spatial regions of a subject, the spatial regions being shifted relative to each other along one spatial direction and respectively having edge regions that overlap each other with phase coding in a non-homogenous non-edge region along said spatial direction;
for at least one of said spatial regions, automatically electronically determining a modulation function, limited to an entirety of said at least one of said spatial regions, that modulates the magnetic resonance signals from said at least one of said spatial regions;
automatically electronically calculating foldovers in a region of overlapping of said spatial regions dependent on said modulation function;
combining magnetic resonance tomography images of the respective non-edge regions of the spatial regions without foldovers in said spatial direction, using the calculated foldovers in the overlapping region to produce a substantially foldover-free image data set; and
making said substantially foldover-free image data set available in a form suitable for reconstructing a substantially foldover-free image of the subject therefrom.
2. A method as claimed in claim 1 comprising automatically electronically determining said modulation function in the respective spatial regions by, for each of said spatial regions, determining a flip angle distribution therein of a spatially-selective RF excitation pulse radiated therein.
3. A method as claimed in claim 1 comprising automatically electronically determining the modulation function of the respective spatial regions by determining, for each of said spatial regions, determining a sensitivity profile of local transmission coils used to excite nuclear spins therein.
4. A method as claimed in claim 1 comprising combining said magnetic resonance tomography images of the non-edge regions by calculating foldover-reduced target values with a linear combination of measured foldover-affected values with values of at least one of said modulation functions.
5. A method as claimed in claim 1 comprising acquiring the respective data sets after a step-by-step displacement of the subject in said spatial direction.
6. A method as claimed in claim 1 comprising acquiring the respective data sets during a continuous displacement of the subject in said spatial direction.
7. A method as claimed in claim 1 comprising calculating said foldovers using redundant subject information in the overlapping region.
8. A magnetic resonance tomography system comprising:
a controller that operates said data acquisition unit to acquire respective data sets from said magnetic resonance signals of at least two limited spatial regions of the subject, the spatial regions being shifted relative to each other along one spatial direction and respectively having edge regions that overlap each other with phase coding in a non-homogenous non-edge region along said spatial direction;
a computer supplied with said data sets that, for at least one of said spatial regions, automatically determines a modulation function, limited to an entirety of said at least one of said spatial regions, that modulates the magnetic resonance signals from said at least one of said spatial regions, and that automatically calculates foldovers in a region of overlapping of said spatial regions dependent on said modulation function, and that combines magnetic resonance tomography images of the respective non-edge regions of the spatial regions without foldovers in said spatial direction, using the calculated foldovers in the overlapping region to produce a substantially foldover-free image data set, and that reconstructs a substantially foldover-free image of the subject from said substantially foldover-free image data set.
9. A computer-readable medium encoded with programming instructions, said medium being loadable into a control computer of a magnetic resonance tomography apparatus and causing said magnetic resonance tomography apparatus to:
acquire respective data sets from magnetic resonance signals of at least two limited spatial regions of a subject, the spatial regions being shifted relative to each other along one spatial direction and respectively having edge regions that overlap each other with phase coding in a non-homogenous non-edge region along said spatial direction;
for at least one of said spatial regions, automatically electronically determine a modulation function, limited to an entirety of said at least one of said spatial regions, that modulates the magnetic resonance signals from said at least one of said spatial regions;
automatically electronically calculate foldovers in a region of overlapping of said spatial regions dependent on said modulation function;
combine magnetic resonance tomography images of the respective non-edge regions of the spatial regions without foldovers in said spatial direction, using the calculated foldovers in the overlapping region to produce a substantially foldover-free image data set; and
a substantially foldover-free image of the subject from said substantially foldover-free image data set.