Phase correction method and magnetic resonance imaging system
A phase correction and imaging technology, which is applied in the direction of using the nuclear magnetic resonance imaging system for measurement, magnetic resonance measurement, measurement of magnetic variables, etc., and can solve the problems of complex pulse sequence and complex control.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
no. 1 example
[0087] Figure 1 is a block diagram of an MRI system according to an embodiment of the present invention.
[0088] In the MRI system 100, the magnet assembly 1 has a space portion (hole) in which a target is inserted, and the following components are provided to surround the space portion: a permanent magnet 1p that applies a constant main magnetic field to the target, a gradient magnetic field coil that generates a gradient magnetic field 1g (the gradient magnetic field coil has X-, Y-, and Z-axis coils, and the combination of these fields forms the layer selection axis, readout axis, and phase encoding axis), RF pulses are emitted to excite nuclear spins within the target The transmitter coil 1t and the receiver coil 1r receive the NMR signal from the target. The gradient magnetic field coil 1g, the transmitting coil 1t, and the receiving coil 1r are connected to the gradient magnetic field driving circuit 3, the RF power amplifier 4, and the preamplifier 5, respectively. A ...
no. 2 example
[0116] (Equation 1) and (Equation 2) can be replaced by the following formulas:
[0117] (equation 4)
[0118] φ0cor(n, m)=φ0NAV(n, 1)-φblock×(n-1) / N
[0119] (equation 5)
[0120] φ1cor(n,m)=φ1NAV(n,1)
[0121] FIG. 6 is a conceptual diagram showing the corresponding relationship between imaging data F(n, m) and correction data H(n, j) used in the phase correction process.
[0122] FIG. 7 is an explanatory view showing a phase error of imaging data f''(n, m) after phase correction.
[0123] The first term of φ0cor(n,m) of (Equation 4) and φ1cor(n,m) of (Equation 5) correct the motion phase error (black arrow). The second term of φ0cor(n,m) of (Equation 4) corrects the magnetic field inhomogeneity phase error (white arrow). As a result, the phase errors of the imaging data f''(n, m) are all the same and vary linearly to eliminate artifacts.
no. 3 example
[0125] can be replaced by the following formula (equation 1):
[0126] (equation 6)
[0127] φ0cor(n, m)=φ0NAV(n, (m-1)%2+1)+φblock×2×int{(m-1) / 2}
[0128] Here int{} is a function (rounding function) to take out the integer part.
[0129] Use (Equation 2) as it is.
[0130] FIG. 8 is an explanatory view showing a phase error of imaging data f''(n, m) after phase correction.
[0131] The first term of φ0cor(n,m) of (Equation 6) and φ1cor(n,m) of (Equation 2) correct the motion phase error (black arrow). The second term of φ0cor(n,m) of (Equation 6) corrects the magnetic field inhomogeneity phase error (white arrow). As a result, the phase errors of the imaging data f''(n, m) are all equal, thereby eliminating artifacts.
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 