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PNS level detection and its effective gradient stimulation time calculation method

A technology of time calculation and level detection, applied in measuring devices, measuring magnetic variables, complex mathematical operations, etc., can solve the problems of inability to guarantee patient safety, inability to accurately detect the impact of local maximum gradient climbing rate on patients, etc., to improve accuracy , Improve product application value, broaden the effect of development

Active Publication Date: 2018-10-09
SHANGHAI UNITED IMAGING HEALTHCARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The problem to be solved by the present invention is that the existing PNS calculation cannot accurately detect the influence of the local maximum gradient climbing rate on the patient, and it is designed for the problem that the safety of the patient cannot be guaranteed.

Method used

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  • PNS level detection and its effective gradient stimulation time calculation method
  • PNS level detection and its effective gradient stimulation time calculation method
  • PNS level detection and its effective gradient stimulation time calculation method

Examples

Experimental program
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no. 1 example

[0056] figure 2 is a schematic diagram of gradient climbing according to the first embodiment of the present invention. Such as figure 2As shown, two gradient value samplings are included in this embodiment. According to the accompanying drawings, it can be seen that the gradient climbing rate of the second sampling (gradient section 2) is significantly greater than the gradient climbing rate of the first sampling (gradient section 1), and the overall The above shows a waveform with a gradually increasing rate of climb. Each sampling time TS=10us, then the gradient change rate can be calculated according to two adjacent points by the following method:

[0057] ΔG[n]=G[n]-G[n-1]

[0058] ΔG[n-1]=G[n-1]-Offset

[0059] Among them, G[n] can be regarded as the gradient value of the nth sampling point, ΔG[n] is the difference from G[n-1] to G[n]; ΔG[n-1] is offset to G[n-1] The difference, where offset is the platform value of the gradient.

[0060] In this embodiment, ΔG[n...

no. 2 example

[0077] Figure 4 It is a schematic diagram of gradient climbing changes in the second embodiment of the present invention. Such as Figure 4 As shown, in this embodiment, the change of the gradient is relatively complicated, and the climbing change rate is the largest in the gradient section 2, and gradually decreases in the gradient sections 3 and 4. Therefore, the effective stimulation time corresponding to the maximum gradient climbing rate should be converted according to gradient segment 2. Like the first embodiment, each sampling time in this waveform diagram is also equal (Ts=10us), and according to the differential method in embodiment 1, it can be seen that ΔG[n-2] is the maximum difference value (ΔGmax).

[0078] ΔGmax=G[n-2]-G[n-3],

[0079] According to the nature of similar triangles, the effective stimulation time converted from gradient segment 1 and gradient segment 2 corresponding to the maximum gradient climbing rate is:

[0080] t1=(G[n-2]-offset)*Ts / ΔGm...

no. 3 example

[0090] Figure 5 is a schematic diagram of gradient change in the third embodiment of the present invention, such as Figure 5 As shown, in the gradient change waveform diagram, the gradient segment 3 is a plateau period, and the gradient does not climb during the plateau period, then the entire climbing segment should be divided into two segments to calculate the cumulative stimulation time Tseff respectively, where gradient segment 1 and gradient segment 2 are gradient climbing If the rate increases gradually, refer to the method in the first embodiment for calculation. Gradient section 4 and gradient section 5 are gradient climb rate gradually reduced, then refer to image 3 The method of calculating t2 and t3 in is used for calculation, but the platform value offset at this time is equal to G[n-2], which is not zero. In this embodiment, two cumulative stimulation times (Tseff1, Tseff2) are included, and two different PNS values ​​are calculated and compared with the tole...

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Abstract

An effective gradient stimulation time calculation method in the PNS level detection is characterized by comprising calculating the maximum gradient difference according to the gradient values of the sampling points; calculating the maximum gradient rate of climb corresponding to the maximum gradient difference; calculating the gradient accumulative stimulation time corresponding to the maximum gradient rate of climb as the effective gradient stimulation time. According to the effective gradient stimulation time calculation method in the PNS level detection of the present invention, the effective gradient stimulation time of a patient can be detected more reasonably, the simulation time and the gradient rate of climb match better, the harm of the gradient field rapid switching to the patient is reduced, and a PNS level calculation result accords with the clinical practice better.

Description

technical field [0001] The invention relates to the field of medical equipment, in particular to a safety monitoring method for patients in magnetic resonance imaging equipment. Background technique [0002] In magnetic resonance imaging equipment (MRI), the rapid switching of the gradient field of the gradient coil will cause the nerve endings of the human body to excite currents, thereby stimulating the peripheral nerves (Peripheral Nervous System, hereinafter referred to as: PNS) and muscles of the human body, especially the heart. Can cause pain to the patient. [0003] The IEC standard of the FDA (Food and Drug Administration: U.S. Food and Drug Administration) only provides the relationship value between the stimulation time of the gradient and dB / dt, and does not provide a specific model, so in these safety standards Basically, there are various detection methods for PNS, and there is no unified detection method. If the detection method of PNS is inappropriate, not ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R33/385G06F17/15
CPCG01R33/385G06F17/15
Inventor 封勇福谢强
Owner SHANGHAI UNITED IMAGING HEALTHCARE