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Ultrasound-assisted muscle recognition method and system and auxiliary injection device

An ultrasound-assisted, identification method technology, applied in subcutaneous injection devices and other directions, can solve problems such as unclear muscle boundaries, and achieve the effects of shortening the learning cycle, accurate injection sites, and avoiding damage

Active Publication Date: 2020-01-17
SHANDONG UNIV QILU HOSPITAL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the problem of unclear muscle boundaries in ultrasound images, the present disclosure provides an ultrasound-assisted muscle recognition system, which can indicate the contour of the target muscle in ultrasound images, thereby improving the accuracy of injection, and can be used for training and improving injection efficiency

Method used

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  • Ultrasound-assisted muscle recognition method and system and auxiliary injection device

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] An ultrasound-assisted muscle recognition method is provided in this embodiment, including: a training phase and an application phase; wherein, the training phase includes: constructing a deep learning model and obtaining a training sample; the training sample is a muscle ultrasound image with a known name;

[0045] In this embodiment, a convolutional neural network is used as a learning model, and training samples are input into the learning model for training to obtain a trained deep learning model, namely: an ultrasound-assisted muscle recognition model;

[0046] Among them, the application stage includes: inputting the ultrasonic image to be recognized into the trained deep learning model, and outputting the muscle outline in the ultrasonic image to be recognized.

[0047] The concrete steps of described training are as follows:

[0048] (3) Preprocessing the ultrasonic image, including graying the ultrasonic image, denoising the image, enhancing the contrast, and p...

Embodiment 2

[0053] An ultrasound-assisted muscle recognition system is provided in this embodiment, including: a training module and an application module;

[0054] Wherein, the training module includes: a construction unit, which is configured to: construct a deep learning model, and obtain a training sample; the training sample is an ultrasound image that has marked muscle contours;

[0055] The training unit is configured to: input the training samples into the deep learning model for training, and obtain the trained deep learning model, namely: the ultrasound-assisted muscle recognition model;

[0056] Among them, the application module includes:

[0057] The identification unit is configured to: input the ultrasound image to be identified into the trained deep learning model, and output the muscle contour in the ultrasound image to be identified; the training method of the deep learning model is carried out using the method in embodiment 1 .

Embodiment 3

[0059] This embodiment provides a storage medium, on which there are computer instructions, and the computer instructions are executed as in the method for establishing a deep learning model in Embodiment 1.

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Abstract

The invention belongs to the technical field of precision injection, and particularly relates to an ultrasound-assisted muscle recognition method and system and an auxiliary injection device. Good curative effects are achieved when creotoxin is applied to myodystony and other diseases, the method of applying creotoxin is currently one of the first choices to relieve muscle spasms such as stroke, cerebral palsy, brain trauma and spinal cord injury in the fields of neuromedicine and rehabilitation medicine. An ultrasound and myoelectric stimulated precise creotoxin treatment technology becomes ahot research direction for creotoxin treatment. Because muscle boundaries in ultrasound image are not clear, a high probability of injection errors still exists, and the contour of target muscle is marked by using an image recognition technology, so that the accuracy of injection can be effectively improved. The invention provides a constructing method for recognizing a muscle model through ultrasound, a deep learning model is trained by acquiring ultrasound images of muscles of known individuals to realize the recognition effects on muscle contours of unknown individuals, the accuracy of injection is improved, and the ultrasound-assisted muscle recognition method and system and the auxiliary injection device are of great significance in aspects of clinical treatment and teaching.

Description

technical field [0001] The disclosure belongs to the technical field of precision injection, and in particular relates to an ultrasound-assisted muscle identification method, an ultrasound-assisted muscle identification system, and an ultrasound-assisted muscle botulinum toxin injection device. Background technique [0002] The information disclosed in this Background section is only intended to increase the understanding of the general background of the disclosure, and is not necessarily to be taken as an acknowledgment or any form of suggestion that the information constitutes prior art that is already known to those skilled in the art. [0003] Since the FDA approved the marketing of botulinum toxin, it has a clear curative effect when applied to dystonia diseases. It can effectively reduce local muscle tension, improve joint mobility, improve gait, posture, etc. It is one of the first-choice methods for muscle spasms such as spinal cord injury and spinal cord injury, and...

Claims

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Application Information

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IPC IPC(8): A61M5/42
CPCA61M5/427
Inventor 张杨胡静璐
Owner SHANDONG UNIV QILU HOSPITAL
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