Radio frequency energy deposition prediction and monitoring method, device, equipment and medium

A technology of radio frequency energy and prediction method, applied in design optimization/simulation, diagnostic recording/measurement, medical science, etc., can solve problems such as prediction error and inaccuracy, and achieve the effect of accurate prediction and reduction of simulation error

Pending Publication Date: 2021-06-25
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in the prior art, the SAR value is predicted based on multiple digital human body models in commercial electromagnetic field simulation software, which fails to fully consider individual differences, body size and shape, gender and body f

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Radio frequency energy deposition prediction and monitoring method, device, equipment and medium
  • Radio frequency energy deposition prediction and monitoring method, device, equipment and medium
  • Radio frequency energy deposition prediction and monitoring method, device, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0061] Example 1

[0062] figure 1 This is a flowchart of a method for predicting radio frequency energy deposition provided in Embodiment 1 of the present invention, and this embodiment can be applied to the case of performing magnetic resonance scanning on a scanning object. The method may be performed by a pre-position configured for radio frequency energy deposition, and the apparatus may be implemented in software and / or hardware, and integrated into an electronic device with an application development function.

[0063] like figure 1 As shown, the radio frequency energy deposition prediction method includes the following steps:

[0064] S110. Collect a magnetic resonance scanning structural image of the scanning object, and perform tissue segmentation based on the structural image to establish a three-dimensional biological model of the scanning object.

[0065] At present, electromagnetic simulation software is usually used to simulate the model of the digital scanni...

Example Embodiment

[0079] Embodiment 2

[0080] Image 6 This is a flowchart of a method for monitoring radio frequency energy deposition provided in Embodiment 2 of the present invention. The applicable situation of this embodiment belongs to the same inventive concept as the data processing method in the above-mentioned embodiment. The method can be performed by a radio frequency energy deposition monitoring device, and the device can be implemented by software and / or hardware, and integrated in a computer device or server device with an application development function.

[0081] like Image 6 As shown, the radio frequency energy deposition monitoring method includes the following steps:

[0082] S210. Acquire a preset scanning strategy of the scanning object, calculate the radio frequency magnetic field strength of the scanning sequence according to the preset scanning strategy, and determine the multi-channel radio frequency according to the voltage amplitude and phase of the multi-channel...

Example Embodiment

[0089] Embodiment 3

[0090] Figure 7 This is a schematic structural diagram of an apparatus for predicting radio frequency energy deposition provided in Embodiment 3 of the present invention, and this embodiment is applicable to situations where this embodiment is applicable.

[0091] like Figure 7 As shown, the radio frequency energy deposition prediction apparatus includes a human body model establishment module 310 , a bioelectromagnetic simulation model establishment module 320 and a radio frequency deposition prediction module 330 .

[0092] Among them, the human body model building module 310 is used to collect the magnetic resonance scanning structural image of the scanning object, and perform tissue segmentation based on the structural image to establish a three-dimensional biological model of the scanning object; the biological electromagnetic simulation model building module 320 is used for A bio-electromagnetic simulation model is established according to the t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The embodiment of the invention discloses a radio frequency energy deposition prediction and monitoring method, device, equipment and medium, and the prediction method comprises the steps: collecting a magnetic resonance scanning structure image of a scanning object, carrying out the tissue segmentation based on the structure image, and building a three-dimensional biological model of the scanning object; establishing a biological electromagnetic simulation model according to the three-dimensional biological model; establishing a multi-channel radio frequency coil model according to a preset scanning strategy, and simulating and confirming a radio frequency energy deposition value in combination with the biological electromagnetic simulation model and the multi-channel radio frequency coil model. The monitoring method comprises the following steps: predicting a radio frequency energy deposition value according to the prediction method, and adjusting a scanning strategy according to a prediction result. According to the technical scheme provided by the embodiment of the invention, the SAR value of the scanned object can be predicted more accurately and individually under the technical scene of parallel transmission of the multi-channel transmitting coil, and the safety of the scanned object during magnetic resonance scanning is improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of magnetic resonance imaging, and in particular, to a method, device, device and medium for predicting and monitoring radio frequency energy deposition. Background technique [0002] In high-field and ultra-high-field magnetic resonance imaging (Magnetic Resonance Imaging, MRI) systems, the patient will absorb the energy of radio frequency electromagnetic waves during examination, forming the body radio frequency energy deposition, the measurement unit is specific absorption rate (specific absorption rate, SAR) , that is, the radio frequency electromagnetic wave energy absorbed per unit mass of biological tissue in unit time (the unit is W / kg). In high-field and ultra-high-field MRI systems, in order to generate a uniform RF electromagnetic field and reduce the SAR value, multi-channel parallel transmission technology is generally used to independently control the amplitude, phase and ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): A61B5/055G06F30/20G06F111/10
CPCA61B5/055A61B5/0033G06F30/20G06F2111/10
Inventor 郑海荣李烨陈巧燕杜凤李楠贺强刘新
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap