Unlock instant, AI-driven research and patent intelligence for your innovation.

Method for predicting HIFU treatment focus position in human tissue based on nuclear magnetic resonance image

A technology of nuclear magnetic resonance images and human tissues, which is applied in treatment, image enhancement, image analysis, etc., can solve the problems of low resolution of B-ultrasound imaging, invariable damage in non-lesional areas, and immaturity, so as to improve the success rate of surgery, The effect of reducing surgical failure and avoiding irreversible damage

Pending Publication Date: 2022-01-18
CHINA JILIANG UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The HIFU treatment technology guided by B-ultrasound cannot be widely used due to the low resolution of B-ultrasound imaging and poor positioning accuracy
The MRI-guided HIFU medical equipment developed abroad can realize the temperature prediction of the lesion area, image tissue differentiation and detection of necrosis range, etc., but this technology is not yet mature in China and has not entered the stage of clinical treatment.
[0004] The second is that the structure of biological tissues is complex, and the sound field formed when HIFU focuses on transducer radiation will be affected by these factors, and the distribution and control of the sound field directly affect the curative effect of HIFU treatment
Because the individuals treated by HIFU are different, if only relying on the theoretical value in the actual treatment process, it will inevitably cause invariable damage to the non-lesional area

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
  • Method for predicting HIFU treatment focus position in human tissue based on nuclear magnetic resonance image
  • Method for predicting HIFU treatment focus position in human tissue based on nuclear magnetic resonance image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The present invention will be further described below in conjunction with the accompanying drawings.

[0021] Such as figure 1 As shown, it is a schematic diagram of the ultrasonic focus focus offset position prediction system of the present invention, including biological tissue (or body membrane) ①, MRI storage table ②, MRI equipment ③, computer ④, HIFU signal generator ⑤, Universal shaft ⑥, hemispherical slide rail ⑦, ultrasonic focusing transducer ⑧ and sound-absorbing wedge ⑨.

[0022] Both parts of the present invention are directly connected to the computer through cables. On the one hand, the nuclear magnetic resonance equipment first performs T1 weighted imaging on the biological tissue with known acoustic parameters, and performs corresponding image processing on the obtained grayscale image in the computer to fit Then, when a new biological tissue is placed, the nuclear magnetic resonance equipment will image and mark the grayscale image in the computer acco...

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 invention relates to a method for predicting an HIFU treatment focus position in a human tissue based on a nuclear magnetic resonance image. The method comprises steps: placing a body membrane in an annular nuclear magnetic resonance equipment working environment, and carrying out nuclear magnetic resonance T1 weighted imaging; processing the image according to a set image processing algorithm, storing and retaining acoustic parameter information of each tissue of the body membrane, pairing the information and fitting a relation curve; after a new biological tissue is put in, performing weighted imaging by the nuclear magnetic resonance equipment T1, performing automatic labeling to obtain an acoustic parameter matrix, and then performing MRI three-dimensional reconstruction to obtain a three-dimensional structure body; and adjusting the position and the incident angle of the high-intensity ultrasonic focused transducer, automatically calculating the position focus offset after determination, and displaying the schematic diagram of the original focus and the offset focus on a computer screen. According to the method, the offset position of the focusing point of the HIFU equipment in the biological tissue can be effectively predicted, so that medical personnel can better utilize diagnosis and treatment equipment to cure a patient.

Description

technical field [0001] The invention relates to a method for predicting focus displacement after ultrasonic waves pass through biological tissues, in particular to a method for predicting focus positions for HIFU treatment in human tissue based on nuclear magnetic resonance images. Background technique [0002] Nowadays, when ultrasound diagnosis is relatively mature, medical ultrasound-related research focuses more on ultrasound treatment of cancer. High Intensity Focused Ultrasound (HIFU) is to focus ultrasound on the target tissue, using the tissue penetration and energy deposition of ultrasound to focus the ultrasound generated outside the body onto the diseased tissue (treatment target) in the body, selectively Destroy malignant tissues deep in the body, and achieve the purpose of treating diseases through the thermal effect, mechanical effect and cavitation effect of ultrasound. This is a non-invasive method with great potential for treating tumors and some non-tumor d...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/136G06T5/00G06T5/30A61N7/00A61B5/055A61B5/00
CPCG06T7/0012G06T7/136G06T5/30A61N7/00A61B5/055A61B5/4848G06T2207/10088G06T5/90
Inventor 郑慧峰董照诚朱勤丰杜文杰
Owner CHINA JILIANG UNIV