Method for parameterizing a gradient performance of a magnetic resonance imaging system using an electronic computing facility, computer program product, computer-readable storage medium, electronic computing facility, and magnetic resonance imaging system
A method for parameterizing a gradient performance of a magnetic resonance imaging system using an electronic computing facility of the magnetic resonance imaging system includes specifying a first limit value for the gradient performance in dependence on potential nerve stimulation of a patient, and specifying a second limit value for the gradient performance in dependence on potential cardiac muscle stimulation of the patient. The method also includes parameterizing a maximum gradient amplitude of a pulse of the gradient performance and a slew rate of the pulse in dependence on the first limit value and the second limit value.
1 . A method for parameterizing a gradient performance of a magnetic resonance imaging system using an electronic computing facility of the magnetic resonance imaging system, the method comprising:
specifying a first limit value for the gradient performance in dependence on potential nerve stimulation of a patient, and specifying a second limit value for the gradient performance in dependence on potential cardiac muscle stimulation of the patient; and
parameterizing a maximum gradient amplitude of a pulse of the gradient performance and a slew rate of the pulse in dependence on the first limit value and the second limit value.
2 . In a non-transitory computer-readable storage medium that stores instructions executable by one or more processors for parameterizing a gradient performance of a magnetic resonance imaging system, the instructions comprising:
specifying a first limit value for the gradient performance in dependence on potential nerve stimulation of a patient, and specifying a second limit value for the gradient performance in dependence on potential cardiac muscle stimulation of the patient; and
parameterizing a maximum gradient amplitude of a pulse of the gradient performance and a slew rate of the pulse in dependence on the first limit value and the second limit value.
3 . An electronic computing facility for a magnetic resonance imaging system for parameterizing a gradient performance of the magnetic resonance imaging system, the electronic computing facility comprising:
a processor configured to:
specify a first limit value for the gradient performance in dependence on potential nerve stimulation of a patient, and specify a second limit value for the gradient performance in dependence on potential cardiac muscle stimulation of the patient; and
parameterize a maximum gradient amplitude of a pulse of the gradient performance and a slew rate of the pulse in dependence on the first limit value and the second limit value.
4 . A magnetic resonance imaging system comprising:
an electronic computing facility for parameterizing a gradient performance of the magnetic resonance imaging system, the electronic computing facility comprising:
a processor configured to:
specify a first limit value for the gradient performance in dependence on potential nerve stimulation of a patient, and specify a second limit value for the gradient performance in dependence on potential cardiac muscle stimulation of the patient; and
parameterize a maximum gradient amplitude of a pulse of the gradient performance and a slew rate of the pulse in dependence on the first limit value and the second limit value.
5 . The method of claim 1 , wherein, when the slew rate is reduced, the maximum gradient amplitude is also reduced.
6 . The method of claim 1 , wherein a field-of-view of the magnetic resonance imaging system is also taken into account in the parameterizing.
7 . The method of claim 1 , wherein a slice thickness of the patient is also taken into account in the parameterizing in dependence on specified patient information.
8 . The method of claim 1 , wherein the magnetic resonance imaging system is configured as a magnetic resonance imaging system with a high maximum gradient performance.
9 . The method of claim 1 , further comprising ascertaining model-specific limit values based on the parameterizing.
10 . The method of claim 1 , further comprising displaying individual parameter values for the parameterizing to a user of the magnetic resonance imaging system.
11 . The non-transitory computer-readable storage medium of claim 2 , wherein, when the slew rate is reduced, the maximum gradient amplitude is also reduced.
12 . The non-transitory computer-readable storage medium of claim 2 , wherein a field-of-view of the magnetic resonance imaging system is also taken into account in the parameterizing.
13 . The non-transitory computer-readable storage medium of claim 2 , wherein a slice thickness of the patient is also taken into account in the parameterizing in dependence on specified patient information.
14 . The non-transitory computer-readable storage medium of claim 2 , wherein the magnetic resonance imaging system is configured as a magnetic resonance imaging system with a high maximum gradient performance.
15 . The method of claim 5 , wherein the slew rate is reduced by a same percentage as the maximum gradient amplitude is reduced.
16 . The method of claim 5 , wherein the slew rate is reduced by a first percentage, and the maximum gradient amplitude is reduced by a second percentage that depends on the first percentage.
17 . The non-transitory computer-readable storage medium of claim 11 , wherein the slew rate is reduced by a same percentage as the maximum gradient amplitude is reduced.
18 . The non-transitory computer-readable storage medium of claim 11 , wherein the slew rate is reduced by a first percentage, and the maximum gradient amplitude is reduced by a second percentage that depends on the first percentage.