CN112244779A - Medical detection system based on acousto-optic imaging - Google Patents
Medical detection system based on acousto-optic imaging Download PDFInfo
- Publication number
- CN112244779A CN112244779A CN202011138343.6A CN202011138343A CN112244779A CN 112244779 A CN112244779 A CN 112244779A CN 202011138343 A CN202011138343 A CN 202011138343A CN 112244779 A CN112244779 A CN 112244779A
- Authority
- CN
- China
- Prior art keywords
- module
- imaging
- information
- detection
- acousto
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0093—Detecting, measuring or recording by applying one single type of energy and measuring its conversion into another type of energy
- A61B5/0095—Detecting, measuring or recording by applying one single type of energy and measuring its conversion into another type of energy by applying light and detecting acoustic waves, i.e. photoacoustic measurements
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0033—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0093—Detecting, measuring or recording by applying one single type of energy and measuring its conversion into another type of energy
- A61B5/0097—Detecting, measuring or recording by applying one single type of energy and measuring its conversion into another type of energy by applying acoustic waves and detecting light, i.e. acoustooptic measurements
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Veterinary Medicine (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Acoustics & Sound (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Ultra Sonic Daignosis Equipment (AREA)
Abstract
The invention discloses a medical detection system based on acousto-optic imaging, which is characterized by comprising a user terminal, a control module, a detection module, a signal receiving module, a signal processing module, an imaging module and an automatic labeling module, wherein the control module is used for controlling the user terminal to perform the acousto-optic imaging; the control module receives a detection request sent by a user terminal and sends the detection request to the detection module; the detection module receives a detection request and generates a photoacoustic signal through detection; the signal receiving module receives the photoacoustic signal sent by the detection module, the signal processing module converts the photoacoustic signal, and the imaging module images the processed photoacoustic signal; the automatic labeling module is used for identifying and matching the imaging pictures to label the imaging pictures. According to the invention, through the acousto-optic imaging technology and the automatic image annotation technology, the clear image is obtained, and meanwhile, the image can be annotated, so that the observation is more convenient, and the illness state is determined more quickly.
Description
Technical Field
The invention relates to the field of medical detection, in particular to a medical detection system based on acousto-optic imaging.
Background
Photoacoustic imaging is a biomedical imaging technology based on the photoacoustic effect that has been rapidly developed in recent years. The characteristics of high contrast of optical imaging and strong penetrating power of acoustic imaging are combined, a high-resolution tissue image is obtained, and meanwhile, a series of physiological parameter changes of the tissue are quantitatively analyzed, so that functional imaging is realized.
The principle of photoacoustic imaging is as follows:
when the pulse laser irradiates the biological tissue, the absorber positioned in the tissue body absorbs the pulse light energy, and the absorber generates instantaneous temperature rise and expands to generate ultrasonic waves. An ultrasound probe, now located at the surface of the tissue body, can receive these outgoing ultrasound waves and reconstruct an image of the optical energy absorption distribution in the tissue from the detected photoacoustic signals.
According to the characteristics of the photoacoustic imaging technology that the imaging is clearly visible, various image processing can be performed on the imaging so as to be convenient for a doctor and a patient to check, and related technologies do not exist at present.
Disclosure of Invention
Based on the above problems, the present invention provides a medical detection system based on acousto-optic imaging, in order to solve the defects existing in the prior art.
The invention is realized by the following technical scheme:
a medical detection system based on acousto-optic imaging comprises a user terminal, a control module, a detection module, a signal receiving module, a signal processing module, an imaging module and an automatic labeling module; the control module receives a detection request sent by a user terminal and sends the detection request to the detection module; the detection module receives a detection request and generates a photoacoustic signal through detection; the signal receiving module receives the photoacoustic signal sent by the detection module, the signal processing module converts the photoacoustic signal, and the imaging module images the processed photoacoustic signal; the automatic labeling module is used for identifying and matching the imaging pictures to label the imaging pictures.
Further, the detection module comprises a pulse laser and an ultrasonic detector; and the pulse laser and the ultrasonic detector obtain photoacoustic signals through detection.
Further, the imaging module reconstructs an image into a three-dimensional image through an algorithm.
Furthermore, the automatic labeling module comprises a database, a feature analysis module, a feature identification module, a matching module and a labeling module; the characteristic analysis module receives the imaging picture sent by the imaging module and analyzes the picture to obtain analysis characteristic information; the feature identification module receives the analysis feature information, identifies the analysis feature information and identifies the feature information; the matching module receives the characteristic position, and matches the characteristic position with historical data stored in a database to obtain matching data information; and the marking module marks the matched data information on the picture.
Further, the historical data stored in the database comprises historical characteristic information and historical characteristic position information; the historical characteristic information is preset organ name information; the historical characteristic position information is preset organ position information.
Further, when the matching result does not exist, the matching module uploads the analysis feature information to a database as new historical data.
Further, the matching module compares the characteristic information with the historical characteristic information, and when the position information and the name information of the characteristic information and the historical characteristic information are consistent, the matching is successful.
The invention has the beneficial effects that:
(1) according to the invention, through the acousto-optic imaging technology and the automatic image marking technology, the clear image is obtained, and meanwhile, the image can be marked, so that the observation is more convenient, and the illness state is determined more quickly;
(2) the invention can also be used for diagnosing the imaged picture, and the diagnosis of a doctor is more convenient by uploading the illness state information and comparing the illness state information with the imaged picture.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a block diagram of the system architecture of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
Example 1
Referring to fig. 1, a medical detection system based on acousto-optic imaging comprises a user terminal, a control module, a detection module, a signal receiving module, a signal processing module, an imaging module and an automatic labeling module; the control module receives a detection request sent by a user terminal and sends the detection request to the detection module; the detection module receives a detection request and generates a photoacoustic signal through detection; the signal receiving module receives the photoacoustic signal sent by the detection module, the signal processing module converts the photoacoustic signal, and the imaging module images the processed photoacoustic signal; the automatic labeling module is used for identifying and matching the imaging pictures to label the imaging pictures.
Further, the detection module comprises a pulse laser and an ultrasonic detector; and the pulse laser and the ultrasonic detector obtain photoacoustic signals through detection.
Further, the imaging module reconstructs an image into a three-dimensional image through an algorithm.
Furthermore, the automatic labeling module comprises a database, a feature analysis module, a feature identification module, a matching module and a labeling module; the characteristic analysis module receives the imaging picture sent by the imaging module and analyzes the picture to obtain analysis characteristic information; the feature identification module receives the analysis feature information, identifies the analysis feature information and identifies the feature information; the matching module receives the characteristic position, and matches the characteristic position with historical data stored in a database to obtain matching data information; and the marking module marks the matched data information on the picture.
Further, the historical data stored in the database comprises historical characteristic information and historical characteristic position information; the historical characteristic information is preset organ name information; the historical characteristic position information is preset organ position information.
Further, when the matching result does not exist, the matching module uploads the analysis feature information to a database as new historical data.
Further, the matching module compares the characteristic information with the historical characteristic information, and when the position information and the name information of the characteristic information and the historical characteristic information are consistent, the matching is successful.
Example 2
The medical detection system based on acousto-optic imaging for detecting breast cancer comprises a user terminal, a control module, a detection module, a signal receiving module, a signal processing module, an imaging module and an automatic labeling module.
Furthermore, the automatic labeling module comprises a database, a feature analysis module, a feature identification module, a matching module and a labeling module; the characteristic analysis module receives the imaging picture sent by the imaging module and analyzes the picture to obtain analysis characteristic information; the feature identification module receives the analysis feature information, identifies the analysis feature information and identifies the feature information; the matching module receives the characteristic position, and matches the characteristic position with historical data stored in a database to obtain matching data information; and the marking module marks the matched data information on the picture.
Further, the database includes images of blood vessels infected with historical tumor cells.
By the system, the tumor cell infected blood vessel image of the patient on the 1 st day and the tumor cell infected blood vessel image of the patient on the 7 th day are obtained.
And further identifying the blood vessel image of the two images as an image infected by the tumor cells through an automatic labeling module, and labeling.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. A medical detection system based on acousto-optic imaging is characterized by comprising a user terminal, a control module, a detection module, a signal receiving module, a signal processing module, an imaging module and an automatic labeling module; the control module receives a detection request sent by a user terminal and sends the detection request to the detection module; the detection module receives a detection request and generates a photoacoustic signal through detection; the signal receiving module receives the photoacoustic signal sent by the detection module, the signal processing module converts the photoacoustic signal, and the imaging module images the processed photoacoustic signal; the automatic labeling module is used for identifying and matching the imaging pictures to label the imaging pictures.
2. The acousto-optic imaging based medical detection system according to claim 1, characterized in that the detection module comprises a pulsed laser and an ultrasonic detector; and the pulse laser and the ultrasonic detector obtain photoacoustic signals through detection.
3. The acousto-optic imaging based medical detection system according to claim 1, wherein the imaging module reconstructs the image into a three-dimensional image through an algorithm.
4. The acousto-optic imaging based medical detection system according to claim 1, wherein the automatic labeling module comprises a database, a feature analysis module, a feature recognition module, a matching module, and a labeling module; the characteristic analysis module receives the imaging picture sent by the imaging module and analyzes the picture to obtain analysis characteristic information; the feature identification module receives the analysis feature information, identifies the analysis feature information and identifies the feature information; the matching module receives the characteristic position, and matches the characteristic position with historical data stored in a database to obtain matching data information; and the marking module marks the matched data information on the picture.
5. The acousto-optic imaging based medical detection system according to claim 4, characterized in that the historical data stored in the database includes historical feature information and historical feature position information; the historical characteristic information is preset organ name information; the historical characteristic position information is preset organ position information.
6. The acousto-optic imaging based medical detection system according to claim 4, wherein the matching module uploads the analytic feature information to the database as new historical data when the matching result does not exist.
7. The acousto-optic imaging based medical detection system according to claim 4, wherein the matching module compares the feature information with the historical feature information, and when the location information and the name information of the feature information and the historical feature information are consistent, the matching is successful.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011138343.6A CN112244779A (en) | 2020-10-22 | 2020-10-22 | Medical detection system based on acousto-optic imaging |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011138343.6A CN112244779A (en) | 2020-10-22 | 2020-10-22 | Medical detection system based on acousto-optic imaging |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112244779A true CN112244779A (en) | 2021-01-22 |
Family
ID=74264640
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011138343.6A Pending CN112244779A (en) | 2020-10-22 | 2020-10-22 | Medical detection system based on acousto-optic imaging |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112244779A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113299372A (en) * | 2021-05-14 | 2021-08-24 | 深圳大学 | Photoacoustic pathological image processing method, storage medium and terminal device |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005107592A1 (en) * | 2004-05-06 | 2005-11-17 | Nippon Telegraph And Telephone Corporation | Component concentration measuring device and method of controlling component concentration measuring device |
| US20110208057A1 (en) * | 2010-02-24 | 2011-08-25 | Canon Kabushiki Kaisha | Subject information processing apparatus |
| CN103393409A (en) * | 2013-08-22 | 2013-11-20 | 南京大学 | Comprehensive analysis method of multi-dimensional biology opto-acoustic image spectra |
| CN104856728A (en) * | 2009-10-29 | 2015-08-26 | 佳能株式会社 | Photoacoustic device |
| CN105395219A (en) * | 2015-12-15 | 2016-03-16 | 同济大学 | Ultrasonic, opto-acoustic and opto-acoustic spectrometry tri-modal imaging system and method |
| CN106037633A (en) * | 2015-04-01 | 2016-10-26 | 佳能株式会社 | Photoacoustic apparatus |
| CN106821320A (en) * | 2017-02-14 | 2017-06-13 | 中国科学院深圳先进技术研究院 | A kind of opto-acoustic microscopic imaging system |
| CN107837069A (en) * | 2016-09-18 | 2018-03-27 | 哈尔滨工业大学（威海） | A kind of opto-acoustic microscopic imaging system and method |
| CN110177493A (en) * | 2018-08-02 | 2019-08-27 | 深圳迈瑞生物医疗电子股份有限公司 | Acousto-optic imaging method, photoacoustic imaging device and computer storage medium |
| CN110327016A (en) * | 2019-06-11 | 2019-10-15 | 清华大学 | Intelligent minimally invasive diagnosis and treatment integral system based on optical image and optical therapeutic |
| CN110547762A (en) * | 2018-05-30 | 2019-12-10 | 深圳英美达医疗技术有限公司 | Photoacoustic imaging system and imaging method thereof |
-
2020
- 2020-10-22 CN CN202011138343.6A patent/CN112244779A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005107592A1 (en) * | 2004-05-06 | 2005-11-17 | Nippon Telegraph And Telephone Corporation | Component concentration measuring device and method of controlling component concentration measuring device |
| EP1743576B1 (en) * | 2004-05-06 | 2018-01-24 | Nippon Telegraph And Telephone Corporation | Component concentration measuring device and method of controlling component concentration measuring device |
| CN104856728A (en) * | 2009-10-29 | 2015-08-26 | 佳能株式会社 | Photoacoustic device |
| US20110208057A1 (en) * | 2010-02-24 | 2011-08-25 | Canon Kabushiki Kaisha | Subject information processing apparatus |
| CN103393409A (en) * | 2013-08-22 | 2013-11-20 | 南京大学 | Comprehensive analysis method of multi-dimensional biology opto-acoustic image spectra |
| CN106037633A (en) * | 2015-04-01 | 2016-10-26 | 佳能株式会社 | Photoacoustic apparatus |
| CN105395219A (en) * | 2015-12-15 | 2016-03-16 | 同济大学 | Ultrasonic, opto-acoustic and opto-acoustic spectrometry tri-modal imaging system and method |
| CN107837069A (en) * | 2016-09-18 | 2018-03-27 | 哈尔滨工业大学（威海） | A kind of opto-acoustic microscopic imaging system and method |
| CN106821320A (en) * | 2017-02-14 | 2017-06-13 | 中国科学院深圳先进技术研究院 | A kind of opto-acoustic microscopic imaging system |
| CN110547762A (en) * | 2018-05-30 | 2019-12-10 | 深圳英美达医疗技术有限公司 | Photoacoustic imaging system and imaging method thereof |
| CN110177493A (en) * | 2018-08-02 | 2019-08-27 | 深圳迈瑞生物医疗电子股份有限公司 | Acousto-optic imaging method, photoacoustic imaging device and computer storage medium |
| CN110327016A (en) * | 2019-06-11 | 2019-10-15 | 清华大学 | Intelligent minimally invasive diagnosis and treatment integral system based on optical image and optical therapeutic |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113299372A (en) * | 2021-05-14 | 2021-08-24 | 深圳大学 | Photoacoustic pathological image processing method, storage medium and terminal device |
| CN113299372B (en) * | 2021-05-14 | 2023-02-03 | 深圳大学 | Photoacoustic pathological image processing method, storage medium and terminal device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Johnstonbaugh et al. | A deep learning approach to photoacoustic wavefront localization in deep-tissue medium | |
| US20110245666A1 (en) | Mammography-Apparatus and Method for Screening the Occurrence of Malignant Cells | |
| WO2015139267A1 (en) | Method and device for automatic identification of measurement item and ultrasound imaging apparatus | |
| US20160228008A1 (en) | Image diagnosis device for photographing breast by using matching of tactile image and near-infrared image and method for aquiring breast tissue image | |
| JP6661787B2 (en) | Photoacoustic image evaluation device, method and program, and photoacoustic image generation device | |
| US11850095B2 (en) | Ultrasound imaging device and method using position and posture tracking of probe of ultrasound scanner | |
| CN104825180A (en) | Tri-modal breast imaging system and imaging method thereof | |
| JP2018515159A (en) | Apparatus, system, and method for irradiating a structure of interest in a human or animal body | |
| JP2021168984A (en) | Information processing device, testing system, and information processing method | |
| JP2023525743A (en) | Automatically identify anatomical structures in medical images in a manner that is sensitive to the specific view in which each image was captured | |
| CN110075430B (en) | Ultrasonic cavitation real-time monitoring method and system based on information entropy | |
| CN112244779A (en) | Medical detection system based on acousto-optic imaging | |
| WO2018043193A1 (en) | Information acquisition device and signal processing method | |
| KR20150026166A (en) | Total medical test system using smart-phone | |
| CN105249933A (en) | Photo-acoustic molecule three-dimensional image instrument | |
| CN113012118B (en) | Image processing method and image processing apparatus | |
| US10492694B2 (en) | Object information acquisition apparatus | |
| US20150282782A1 (en) | System and method for detection of lesions | |
| CN111466952A (en) | Real-time conversion method and system for ultrasonic endoscope and CT three-dimensional image | |
| KR20170098481A (en) | Parameter auto setting for portable ultrasound device | |
| CN112704510A (en) | Mammary gland X-ray imaging method and system | |
| Takahashi et al. | Quantitative evaluation of blood flow obstruction in microcirculation with sidestream dark-field images | |
| CN116385447B (en) | Method, device, equipment and medium for monitoring nail fold white blood cells | |
| CN111311547A (en) | Ultrasonic image segmentation device and ultrasonic image segmentation method | |
| JP2017042603A (en) | Subject information acquisition apparatus |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20210122 |
|
| WD01 | Invention patent application deemed withdrawn after publication |