CN111419283B - Ultrasonic analysis system for evaluating disease severity of patient with new coronaries - Google Patents
Ultrasonic analysis system for evaluating disease severity of patient with new coronaries Download PDFInfo
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- CN111419283B CN111419283B CN202010269407.XA CN202010269407A CN111419283B CN 111419283 B CN111419283 B CN 111419283B CN 202010269407 A CN202010269407 A CN 202010269407A CN 111419283 B CN111419283 B CN 111419283B
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- 238000004458 analytical method Methods 0.000 title claims abstract description 21
- 201000010099 disease Diseases 0.000 title abstract description 6
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 title abstract description 6
- 238000002604 ultrasonography Methods 0.000 claims abstract description 20
- 206010035664 Pneumonia Diseases 0.000 claims abstract description 19
- 238000011156 evaluation Methods 0.000 claims abstract description 9
- 230000005540 biological transmission Effects 0.000 claims description 12
- 238000007405 data analysis Methods 0.000 claims description 12
- 210000004072 lung Anatomy 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 4
- 239000000523 sample Substances 0.000 claims description 4
- 238000010801 machine learning Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 claims description 3
- 238000005457 optimization Methods 0.000 claims description 3
- 230000015572 biosynthetic process Effects 0.000 claims description 2
- 238000012545 processing Methods 0.000 claims description 2
- 238000003786 synthesis reaction Methods 0.000 claims description 2
- 208000029078 coronary artery disease Diseases 0.000 claims 1
- 238000003745 diagnosis Methods 0.000 abstract description 4
- 238000005259 measurement Methods 0.000 abstract description 4
- 238000011084 recovery Methods 0.000 abstract description 3
- 238000003384 imaging method Methods 0.000 description 5
- 206010011224 Cough Diseases 0.000 description 2
- 208000028399 Critical Illness Diseases 0.000 description 2
- 206010037660 Pyrexia Diseases 0.000 description 2
- 208000024891 symptom Diseases 0.000 description 2
- 208000025721 COVID-19 Diseases 0.000 description 1
- 241001678559 COVID-19 virus Species 0.000 description 1
- 241000711573 Coronaviridae Species 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000011534 incubation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000002601 radiography Methods 0.000 description 1
- 230000001225 therapeutic effect Effects 0.000 description 1
Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
- A61B8/0833—Detecting organic movements or changes, e.g. tumours, cysts, swellings involving detecting or locating foreign bodies or organic structures
- A61B8/085—Detecting organic movements or changes, e.g. tumours, cysts, swellings involving detecting or locating foreign bodies or organic structures for locating body or organic structures, e.g. tumours, calculi, blood vessels, nodules
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/5215—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
-
- G06T5/70—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10132—Ultrasound image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
Abstract
The invention provides an ultrasonic analysis system for evaluating the disease severity or the treatment recovery degree of a patient with new coronary pneumonia, which is based on quantitative ultrasonic analysis, can provide quantitative measurement and evaluation of B line, has high degree of automation and intelligence, reduces the professional technical requirement of doctors for ultrasound, and overcomes the problem of strong subjectivity of doctor diagnosis to a great extent.
Description
Technical Field
The invention belongs to the field of medical ultrasonic imaging intelligent analysis, and particularly relates to an ultrasonic analysis system for evaluating the severity of illness state of a patient suffering from new coronary pneumonia.
Background
The novel coronavirus (COVID-19) has the characteristics of long incubation period, easy transmission and the like, and the pneumonia (hereinafter referred to as "novel coronapneumonia") caused by the COVID-19 virus clinically presents symptoms such as fever, cough and the like. Currently, diagnosis of new coronaries mainly depends on clinical symptoms (e.g., fever, cough, etc.) and chest imaging examinations (e.g., X-ray chest radiographs or chest CT). However, because of the large size and radioactivity, imaging equipment such as X-ray chest radiography or chest CT cannot enter epidemic areas, especially ICU during epidemic situations. Ultrasound plays an important role during this epidemic as a non-radiative, reusable imaging technique. Ultrasound is the only imaging device capable of entering the ICU in an epidemic area to perform bedside diagnosis, and plays an important role in evaluating the severity of the illness state of a patient.
Ultrasound images of patients with new coronary pneumonia are typical, especially based on changes in line B. B-line diffusion for critically ill patients; a moderate patient presents a plurality of B lines, and the mutual distance between the B lines is very small; the mild B-line is significantly reduced and the pitch is increased. However, the information is judged by naked eyes of doctors, so that the subjectivity is strong, and the change of the disease condition before and after the patient is not easy to compare.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the present invention aims to provide an ultrasound analysis system for assessing the severity of a new patient with coronaries pneumonia or the therapeutic recovery based on quantitative ultrasound analysis, and to provide a quantitative measurement and assessment of B-line, which greatly reduces the technical requirements of the new patient with coronaries pneumonia.
To achieve the above object, the present invention provides an ultrasonic analysis system for evaluating the severity of a disease in a patient suffering from new coronal pneumonia, comprising:
the data acquisition module is used for acquiring an ultrasonic image of the lung of a new coronal pneumonia patient;
the data transmission module is used for transmitting the ultrasonic image acquired by the data acquisition module to the data analysis module;
the data analysis module is used for analyzing the B line information in the ultrasonic image; and
and the intelligent evaluation module is used for integrating B-line information in the ultrasonic images of the multiple parts, scoring the severity of the illness state and outputting total scores.
Further, the data acquisition module is a portable ultrasonic instrument or a handheld ultrasonic instrument and comprises an ultrasonic transducer, a signal transmitting circuit, a signal acquisition circuit and an image synthesis module.
Further, the ultrasonic probe of the portable ultrasonic instrument or the handheld ultrasonic instrument is a two-dimensional or three-dimensional probe.
Further, the data transmission module is a wireless transmission module, such as a 4G, 5G, bluetooth, wiFi or Zig-Bee communication module, preferably a 4G, 5G communication module. The data transmission module comprises a data sending module and a data receiving module.
Further, the data analysis module is located in the mobile terminal or the cloud server. The mobile terminal is selected from one of a smart phone, a tablet computer or a notebook computer.
Further, the data sending module is located in the portable ultrasonic instrument or the handheld ultrasonic instrument, and the data receiving module is located in the mobile terminal or the cloud server.
Further, the B-line information includes the number of B-lines and the pitch between the B-lines.
Further, the method for analyzing the B-line information in the ultrasonic image by the data analysis module comprises the following steps:
(1) Noise reduction optimization treatment is carried out on the ultrasonic image;
(2) Selecting an area containing a B line from an ultrasonic image, extracting one-dimensional information along the transverse direction at different heights in the area, and accumulating the information along the longitudinal direction to form a pixel gray level change curve of the area;
(3) The position of the peak value in the pixel gray level change curve, namely the position of the B line, can be calculated according to the number of the B lines and the distance between the B lines.
Further, the intelligent evaluation module is located in the mobile terminal or the cloud server.
Further, the scoring rules of the intelligent evaluation module are obtained after machine learning B-line information of ultrasound images of the lungs of a large number of severe patients, moderate patients and mild patients.
The ultrasonic analysis system for evaluating the disease severity of the new patient with the coronary pneumonia or the treatment recovery degree is based on quantitative ultrasonic analysis, can provide quantitative measurement and evaluation of the B line, has high degree of automation and intelligence, reduces the professional technical requirement of doctors on ultrasound, and overcomes the problem of strong subjectivity of doctor diagnosis to a great extent.
Drawings
FIG. 1 is an ultrasound image of the lung obtained by a data acquisition module according to a preferred embodiment of the present invention, wherein a rectangular frame covers the B-line region within the image;
fig. 2 is a schematic diagram of a pixel gray scale variation curve obtained by processing a rectangular frame region in the ultrasound lung image of fig. 1 by the data analysis module of the present invention.
Detailed Description
The following examples of the present invention are described in detail, and are given by way of illustration of the present invention, but the scope of the present invention is not limited to the following examples.
In a preferred embodiment, the ultrasound analysis system for assessing the severity of a patient suffering from new coronal pneumonia of the present invention comprises:
the portable ultrasonic instrument is used as a data acquisition module for acquiring an ultrasonic image of the lung of a new coronal pneumonia patient, as shown in fig. 1, wherein a rectangular frame covers a B line area in the image;
the 5G communication module is used as a data transmission module and is used for transmitting the ultrasonic image acquired by the portable ultrasonic instrument to the data analysis module of the cloud server;
the data analysis module is used for analyzing the B line information in the ultrasonic image; and
the intelligent evaluation module is used for integrating B-line information in the ultrasonic images of the multiple parts, scoring the severity of the illness state and outputting total scores; the parameters of the B line images of the patient at different rehabilitation stages can be compared and scored, so that the illness state and the rehabilitation degree can be evaluated.
The method for analyzing the B-line information in the ultrasonic image by the data analysis module comprises the following steps of:
(1) Noise reduction optimization treatment is carried out on the ultrasonic image;
(2) Selecting an area (a rectangular frame in FIG. 1) containing a B line from an ultrasonic image, extracting one-dimensional information from pixel points in the rectangular frame along the transverse direction, accumulating the information in the longitudinal direction, and normalizing the information to obtain a pixel gray level change curve of the area shown in FIG. 2;
(3) The positions of three peaks in the pixel gray level change curve (the circles in fig. 2) correspond to the positions of three lines B in fig. 1, so that the number of lines B and the spacing between lines B, and even quantitative measurement parameters such as the area under the curve, can be calculated.
The scoring rules of the intelligent evaluation module can be obtained by machine learning B-line information of lung ultrasound images of a large number of severe patients, moderate patients and mild patients. For example, B-line information of ultrasound images of the lungs of a large number of critically ill, moderate, and feeble patients is first entered into the intelligent assessment module; then, the number of B lines is taken as a Y axis, the interval between the B lines is taken as an X axis, and the B line information of the patient is traced in an X-Y coordinate axis; and then, fitting the curve to the image obtained by the description points to obtain a standard grading formula.
The foregoing describes in detail preferred embodiments of the present invention. It should be understood that numerous modifications and variations can be made in accordance with the concepts of the invention by one of ordinary skill in the art without undue burden. Therefore, all technical solutions which can be obtained by logic analysis, reasoning or limited experiments based on the prior art by a person skilled in the art according to the inventive concept shall be within the scope of protection defined by the claims.
Claims (8)
1. An ultrasonic analysis system for assessing the severity of a condition in a patient suffering from new coronal pneumonia, comprising:
the data acquisition module is used for acquiring an ultrasonic image of the lung of a new coronal pneumonia patient;
the data transmission module is used for transmitting the ultrasonic image acquired by the data acquisition module to the data analysis module;
the data analysis module is used for analyzing B line information in the ultrasonic image, wherein the B line information comprises the number of B lines, the distance between the B lines and the area under a pixel gray level change curve; and
the intelligent evaluation module is used for integrating the B-line information in the ultrasonic images of the multiple parts, scoring the severity of the illness and outputting total scores; wherein,
the method for analyzing the B-line information in the ultrasonic image by the data analysis module comprises the following steps:
(1) Noise reduction optimization processing is carried out on the ultrasonic image;
(2) Selecting an area containing a B line from the ultrasonic image, extracting one-dimensional information along the transverse direction at different heights in the area, and accumulating the information along the longitudinal direction to form a pixel gray level change curve of the area;
(3) The position of the peak value in the pixel gray level change curve, namely the position of the B line, so that the number of the B lines, the spacing between the B lines and the area under the pixel gray level change curve can be calculated;
the scoring rules of the intelligent evaluation module are obtained after machine learning B-line information of lung ultrasonic images of a large number of severe patients, moderate patients and mild patients.
2. The ultrasound analysis system for assessing the severity of a patient suffering from new coronary pneumonia according to claim 1, wherein said data acquisition module is a portable or handheld ultrasound instrument comprising an ultrasound transducer, a signal transmitting circuit, a signal acquisition circuit, an image synthesis module.
3. The ultrasonic analysis system for assessing the severity of a patient suffering from new coronal pneumonia of claim 2 wherein the ultrasonic probe of said portable ultrasonic meter or said hand-held ultrasonic meter is a two-dimensional or three-dimensional probe.
4. The ultrasound analysis system for assessing the severity of a patient suffering from new coronary pneumonia of claim 2, wherein said data transmission module is a wireless transmission module comprising a data transmission module and a data reception module.
5. The ultrasonic analysis system for assessing the severity of a patient suffering from new coronary heart disease of claim 4, wherein said wireless transmission module is a 4G, 5G, bluetooth, wiFi or zigbee communication module.
6. The ultrasound analysis system for assessing the severity of a patient suffering from new coronal pneumonia of claim 2, wherein the data analysis module and the intelligent assessment module are located in a mobile terminal or a cloud server.
7. The ultrasonic analysis system for assessing the severity of a patient suffering from new coronal pneumonia of claim 6, wherein said mobile terminal is a smart phone, tablet computer or notebook computer.
8. The ultrasound analysis system for assessing the severity of a patient with new coronal pneumonia of claim 4 wherein said data transmission module is located in a portable or handheld ultrasound meter and said data receiving module is located in a mobile terminal or cloud server.
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| CN112950534A (en) * | 2021-01-22 | 2021-06-11 | 华东师范大学 | Portable ultrasonic pneumonia auxiliary diagnosis system based on artificial intelligence |
| CN113854996B (en) * | 2021-09-03 | 2024-02-23 | 华中科技大学同济医学院附属协和医院 | Method for evaluating pulmonary function of patient in new coronal pneumonia convalescence |
| CN116188499B (en) * | 2023-05-04 | 2023-06-30 | 北京易优联科技有限公司 | Segmentation method for lung ultrasonic image |
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