CN117322917A - Flexible sensing device capable of detecting superficial organ nodules and analysis method and system thereof - Google Patents
Flexible sensing device capable of detecting superficial organ nodules and analysis method and system thereof Download PDFInfo
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- A—HUMAN NECESSITIES
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- 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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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/42—Details of probe positioning or probe attachment to the patient
- A61B8/4209—Details of probe positioning or probe attachment to the patient by using holders, e.g. positioning frames
- A61B8/4236—Details of probe positioning or probe attachment to the patient by using holders, e.g. positioning frames characterised by adhesive patches
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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
- A61B8/5207—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of raw data to produce diagnostic data, e.g. for generating an image
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Abstract
A flexible sensing device capable of detecting superficial organ nodules and an analysis method and a system thereof belong to the technical field of flexible sensors and biomedical technology, and solve the problems that the existing ultrasonic examination operation depends on expensive equipment and needs doctor-assisted diagnosis, a hard ultrasonic sensor cannot be applied to a complex surface, long-term wearing is inconvenient, and the existing flexible sensor is easily influenced by external factors. The analysis method for the soft detectable superficial organ nodules comprises the following steps: selecting a datum point on the surface of the measured part, and establishing a Cartesian coordinate system; scanning the measured part to obtain a planar two-dimensional result graph; denoising the planar two-dimensional result graph to obtain three-dimensional image data; adopting a thinning difference method to carry out superfine supplement on a space body of an adjacent section of the measured part; carrying out rearrangement filtering and assignment on gray information of the three-dimensional image data, and identifying to obtain contour data; and performing mechanical learning to obtain an analysis result. The invention is suitable for the detection scene of the superficial organ nodule.
Description
Technical Field
The invention belongs to the technical field of biological medical treatment and the technical field of flexible sensors, and particularly relates to a technology for detecting superficial organ nodules.
Background
For superficial organs, screening of breast nodules as well as thyroid nodules under ultrasound is the most common medical practice for judging abnormal tissue structure. Thyroid nodules are reported to be found in 68% of the population, with about 7-15% of thyroid nodules having a potential to progress to thyroid cancer.
For imaging detection of superficial organs such as thyroid, ultrasound results typically include: the thyroid gland size, gland echo uniformity, abnormal region size morphology, and abnormal blood supply were ascertained using color doppler blood flow imaging CDFI. Ultrasonic interventional examinations, i.e. invasive fine needle extraction of abnormal tissue and pathological analyses, are also performed on potentially malignant thyroid nodules.
Taking thyroid as an example, the disease properties of thyroid nodules are classified by ultrasound according to the class 5 classification standard of the benign and malignant degree TI-RADS of the thyroid nodules, the normal to malignant changes are classified into 5 classes, the similar grading classification is also carried out on the breast nodule classification BI-RADS, and the malignant indications under the ultrasound image comprise extremely low echo, microcalcifications, edge blurring irregularity, extraglandular invasion and the like.
Modern medical treatment has placed high demands on individualization, preventive, chronic disease management, etc. Existing ultrasound examination procedures rely on expensive equipment and require diagnosis with the assistance of a physician. Therefore, wearable, long-term monitoring-enabled device ultrasound imaging or disease monitoring should be emphasized.
Unlike common hard ultrasonic sensors, flexible wearable sensors are easier to fit the skin surface, can be applied to complex surfaces, and are convenient to wear for a long period of time. The non-invasive, real-time and continuous detection of human tissues provides hardware support for tissue imaging and early detection, prevention and treatment of diseases. The flexible medical photoelectric sensor is easy to be influenced by ambient light, and the biological sensor can be used for collecting muscle signals by mistake. Meanwhile, the flexible sensors of other forms such as non-array photoelectricity and bioelectricity have a weakness, and have no supplementary measures, and if the tester in the collected position moves slightly, the obtained test result is greatly affected.
Therefore, there is a need for a flexible sensor that detects superficial organ nodules, and a corresponding analysis algorithm and system.
Disclosure of Invention
The invention provides an analysis method, a system and a flexible sensing device for detecting the shape and the position of a superficial organ nodule and parting of the superficial organ nodule, and aims to solve the problems that the existing ultrasonic inspection operation depends on expensive equipment and needs doctor-assisted diagnosis, that a hard ultrasonic sensor cannot be applied to a complex surface and is inconvenient to wear for a long time, and that the existing flexible sensors in other forms are easily influenced by external factors, so that the detection result is inaccurate.
The analysis method comprises the following steps:
selecting a datum point on the surface of the human tissue of interest, and establishing a Cartesian coordinate system;
acquiring data of the surface of human tissue obtained by scanning of a flexible sensor, and generating a planar two-dimensional result graph;
denoising the planar two-dimensional result graph to obtain three-dimensional image data;
adopting a thinning difference algorithm to carry out superfine supplementation on a near section space body of the surface of the human tissue of interest, and obtaining supplemented three-dimensional image data
Carrying out rearrangement filtering and assignment on the gray information of the three-dimensional image data after the supplement, and adopting a contour recognition algorithm to carry out recognition so as to obtain contour data;
and performing mechanical learning according to the contour data to obtain correlation between the malignant graph indication and the malignant degree and obtain an analysis result.
Further, a preferred scheme is provided: denoising the planar two-dimensional result graph by adopting wavelet transformation filtering and SAR-BM 3-D;
further, a preferred scheme is provided: the data of the human tissue surface obtained by scanning the flexible sensor is obtained by scanning the human tissue surface in a common and phase-control B-type mode of the flexible sensor;
further, a preferred scheme is provided: adopting a ray projection method and a Casting algorithm to carry out rearrangement filtering and assignment on the gray information of the three-dimensional image data;
further, a preferred scheme is provided: and performing mechanical learning according to the profile, wherein Gaussian naive Bayesian GNB and decision tree mechanical learning are adopted.
The system for detecting superficial organ nodules comprises:
coordinate establishing unit: a Cartesian coordinate system is established by selecting a datum point on the surface of the interested human tissue;
a scanning unit: the method comprises the steps of acquiring data of the surface of human tissue obtained by scanning a flexible sensor, and generating a planar two-dimensional result graph;
denoising unit: the method comprises the steps of denoising the planar two-dimensional result graph so as to obtain continuous and stable three-dimensional image data;
and a supplementing unit: the method is used for carrying out superfine supplementation on the adjacent section space body of the surface of the human tissue of interest by adopting a thinning difference algorithm to obtain supplemented continuous three-dimensional image data;
an identification unit: the method comprises the steps of carrying out rearrangement filtering and assignment on gray information of the three-dimensional image data after supplementation, and adopting a contour recognition algorithm to carry out recognition to obtain contour data;
a learning unit: and the analysis method is used for carrying out mechanical learning according to the contour data to obtain correlation between the malignant graph indication and the malignant degree and obtain an analysis result.
The flexible sensing device for detecting superficial organ nodules comprises:
the device comprises a flexible sensor, a data processing unit and a terminal, wherein the flexible sensor is used for acquiring data of the surface of a human tissue of interest and providing the data to the data processing unit, and the device is characterized in that the data processing unit processes the acquired data by applying a method for detecting superficial organ nodules according to any scheme combination and sends the generated analysis result to the terminal.
Further, a preferred scheme is provided: the flexible sensor includes: the ultrasonic sensor comprises an ultrasonic generation layer, a flexible electrode, a backing layer, a matching layer and a flexible packaging material, wherein the ultrasonic generation layer comprises a plurality of sensing arrays, the flexible electrode adopts a snake-shaped electrode structure, the matching layer is connected with the ultrasonic generation layer along the sound transmission direction through the flexible electrode, the backing layer is connected with the other side of the ultrasonic generation layer through the flexible electrode, and the flexible packaging material is wrapped outside the backing layer and the matching layer.
A computer device comprising a memory and a processor, the memory having a computer program stored therein, the processor performing a method of analysis of a detectable superficial organ nodule in combination with any one of the above aspects when the processor runs the computer program stored in the memory.
A computer readable storage medium storing a computer program for performing a method of analyzing a detectable superficial organ nodule in a combination of any of the above.
The invention has the beneficial effects that:
1. the sensor provided by the invention is manufactured in a flexible and miniaturized way, so that the wearable manufacturing of the area array probe is realized. As the flexible ultrasonic sensor has abundant array elements, the flexible ultrasonic sensor has certain self-supplementing and error correcting functions.
2. The ultrasonic phased array further expands the deflection of the area array probe by a certain angle under the vertical direction, so that the visual field range is increased by plus or minus 15 degrees. Cystic space, real space, and calcification lesions of a minimum of 2 mm can be distinguished in three-dimensional imaging, and the ascertained area imaged for Doppler abnormal blood supply by CW mode.
3. The sensor provided by the invention is easy to wear, convenient for long-term monitoring and high in stability, and can automatically give out TI-RADS/BI-RADS grading evaluation of the superficial organ nodule after a large number of sample calculation and analysis, thereby being convenient for portable follow-up and clinical observation of HIFU or ultrasonic ablation prognosis.
The invention is suitable for the nodule detection scene of the flexible sensor in the superficial organs.
Drawings
FIG. 1 is a flow chart of a flexible ultrasonic phased array sensor analysis method according to an embodiment;
fig. 2 is a schematic result diagram of an area array imaging of a flexible ultrasonic phased array sensor according to the fourth embodiment;
FIG. 3 is an enlarged view of a portion of FIG. 2, showing the flexible sensor with a spatial topography perpendicular to the vertebral direction (arrows indicate the outline of the thyroid gland outer edge, and ovals indicate the area of the nodule);
FIG. 4 is an enlarged view of a portion of FIG. 2, showing the flexible sensor with a spatial topography parallel to the vertebral direction and positioned on the left lobe of the thyroid (arrows indicate the outline of the thyroid gland outer edge, and ovals indicate the area of the nodule);
FIG. 5 is a graph showing the results of imaging key cross-sections in a three-dimensional map and a thyroidectomy post-specimen control;
FIG. 6 is a detailed flow chart of a method of detecting superficial organ nodules according to one embodiment;
fig. 7 is a schematic longitudinal sectional view of an independent unit of a flexible sensor according to the third embodiment and an ultrasonic transmission direction thereof.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, are intended to fall within the scope of the present invention.
Embodiment one
The present embodiment will be described with reference to fig. 1 and 6.
An analysis method for detecting a superficial organ nodule according to the present embodiment includes:
selecting a datum point on the flexible sensor on the surface of the interested human tissue to establish a Cartesian coordinate system;
using multimode ultrasonic scanning of the flexible sensor to scan the surface of the human tissue of interest, obtaining data of the surface of the human tissue obtained by scanning of the flexible sensor, and generating a planar two-dimensional result graph;
denoising the planar two-dimensional result graph to obtain three-dimensional image data;
carrying out superfine supplementation on a near section space body of the surface of the human tissue of interest by adopting a thinning difference algorithm to obtain supplemented three-dimensional image data;
rearranging, filtering and assigning the gray information of the three-dimensional image data after supplementing, and identifying by adopting a contour identification algorithm to obtain contour data;
and performing mechanical learning according to the contour data to obtain correlation between the malignant graph indication and the malignant degree, and summarizing an analysis rule so as to stabilize the model and obtain an analysis result.
Specifically:
the scanning of the surface of the human tissue of interest is performed in a common and phased B-mode.
The planar two-dimensional result graph is denoised, and methods including, but not limited to, wavelet transform filtering, SAR-BM3-D, and the like can be used.
The refinement difference algorithm comprises, but is not limited to, bessel algorithm, and performs superfine supplementation on adjacent section space bodies on the surface of the human tissue of interest, so as to supplement transitional section information, and performs refinement continuity supplementation between adjacent sections with larger space three-dimensional data.
The method for carrying out rearrangement filtering and assignment on the gray information of the three-dimensional image data after supplementation comprises, but is not limited to, a ray Casting method and a Casting algorithm.
Mechanical learning is performed from the profile data with the goal of identifying nodule size morphology and its associated malignancy, learning methods including, but not limited to, gaussian naive bayes GNB and decision tree methods.
Further, the method is described in detail with reference to fig. 6:
s1: a cartesian coordinate system is established with reference to the central position data of the surface of the human tissue of interest, the purpose of which is to provide a base point for subsequent computational analysis.
S2: under the condition that the bending angle of the flexible sensor is known, the common mode B and the phase control mode are used for scanning the surface of the interested human tissue to obtain planar two-dimensional result patterns of all detection organs, wherein the common mode B and the phase control mode are both the prior art.
S3: and (3) carrying out self-adaptive denoising on the planar two-dimensional result graph by using self-adaptive wavelet transform filtering and SAR-BM3-D under different layers to form a basic three-dimensional data field stacked in a two-dimensional mode, so that three-dimensional image data conforming to the logic correctness of anatomy can be obtained.
S4: and (3) performing three-dimensional reconstruction: firstly, performing superfine supplement operation on a space between adjacent sections of the surface of the human tissue of interest by using interpolation methods (including but not limited to Bessel interpolation method); and then, performing operations such as rearrangement filtering and assignment on gray information of the preliminarily formed three-dimensional image data by using a Ray Casting method and a Ray Casting algorithm, and finally, performing contour recognition by using a Canny algorithm and also using a Halcon edge extraction algorithm.
S5: in order to obtain analysis of the morphology and the progression malignancy of the nodule, gaussian Bayesian GNB and decision tree mechanical learning are used to form correlation of malignancy graph indication and malignancy, and finally analysis results are obtained.
Second embodiment
A system for detecting a superficial organ nodule according to this embodiment includes:
coordinate establishing unit: the method comprises the steps of selecting a datum point on the surface of a human tissue of interest and establishing a Cartesian coordinate system;
a scanning unit: the method comprises the steps of acquiring data of the surface of human tissue obtained by scanning a flexible sensor, and generating a planar two-dimensional result graph;
denoising unit: the method comprises the steps of denoising the planar two-dimensional result graph to obtain three-dimensional image data;
and a supplementing unit: the method is used for carrying out superfine supplementation on the adjacent section space body of the surface of the human tissue of interest by adopting a thinning difference algorithm to obtain supplemented three-dimensional image data;
an identification unit: the method comprises the steps of carrying out rearrangement filtering and assignment on gray information of the three-dimensional image data after supplementation, and adopting a contour recognition algorithm to carry out recognition to obtain contour data;
a learning unit: and the analysis method is used for carrying out mechanical learning according to the contour data to obtain correlation between the malignant graph indication and the malignant degree and obtain an analysis result.
Embodiment III
The present embodiment will be described with reference to fig. 2, 3, 4, 5, 6, and 7.
A flexible sensing device for detecting superficial organ nodules according to this embodiment, the device comprising: the system comprises a sensor, a data processing unit and a terminal, wherein the sensor is used for acquiring data of the surface of a human tissue of interest and providing the data to the data processing unit, and the data processing unit processes the acquired data by applying the method for detecting superficial organ nodules according to the first embodiment and sends the generated analysis result to the terminal.
Specifically:
as shown in fig. 7, the sensor according to the present embodiment is a flexible sensor, and includes: the ultrasonic sensor comprises an ultrasonic generation layer, a flexible electrode, a backing layer, a matching layer and a flexible packaging material, wherein the ultrasonic generation layer comprises a plurality of sensing subarrays, the flexible electrode adopts a snake-shaped electrode structure, the matching layer is connected with the ultrasonic generation layer along the sound transmission direction through the flexible electrode, the backing layer is connected with the other side of the ultrasonic generation layer through the flexible electrode, and the flexible packaging material is wrapped outside the backing layer and the matching layer.
Wherein, the sensing array is composed of 324 piezoelectric ceramic plates in total of 18×18, and the flexible electrode can take the following two forms: (1) The flexible electrodes distributed in an orthogonal mode realize row and column site selection step-by-step control, and plane wave emission and collection of each row and each column can be realized. (2) The common cathode and the independent collecting electrode can realize the independent control of each array element, and is convenient for realizing the emission of any subarray element.
The ultrasonic generating layer is realized by a piezoelectric transducer, the main body of the piezoelectric transducer is ceramic PZT-5H, and epoxy resin is used for assisting in cutting and pouring to form 1-3 type composite piezoelectric ceramic.
The upper layer and the lower layer of low-temperature soldering paste and the copper electrode are electrically conducted, and meanwhile firm bonding performance under large deformation is ensured.
The back lining layer is positioned at the back of the ultrasonic generation layer and used for stopping vibration and transmitting the sound field forward, and meanwhile, the whole bandwidth performance of the device is improved.
The matching layer is an indispensable transition layer for the acoustic impedance difference between the sounding object and the detected object, and can better transmit sound to human skin.
The sensor in the embodiment generates ultrasound through piezoelectric ceramics, the ultrasound penetrates through shallow epidermis tissues, echo signals with different intensities are generated at interfaces with different acoustic impedances by signals, and gray information is reflected according to the intensity assignment phase difference of the different echo signals.
The rigid plane of the island-bridge electrode structure of the flexible electrode is not damaged in the large deformation structure, and compared with the traditional linear lead, the flexible electrode can still maintain good electrical conduction performance after stress is finished. Meanwhile, PDMS without biological toxicity is selected as a flexible packaging material, so that the attaching performance of the complex curved surface is ensured.
As shown in fig. 2, 3, 4 and 5, the edge of the nodule detected by the device is compared with the pathological edge of the surgical specimen.
The dashed lines inside the circles in the figure show the size calliper markings of the thyroid nodules. Represented in the figure as a pathological margin of a thyroid nodule as a conventional thyroidectomy specimen.
Fig. 5 shows the imaging results of key cross-sections in a three-dimensional view (left) and a view of a post thyroidectomy specimen (right).
According to the result, the flexible wearable detection device has higher accuracy when detecting the superficial organ nodule, can reflect the case characteristics of the nodule under the anatomy more accurately, has low cost and simple operation, and is suitable for the convenient self-test of patients and the prognosis continuous monitoring recovery scenes such as HIFU or ultrasonic ablation operation. The invention is suitable for early disease detection, helps people to maintain physical health to a great extent, and provides great convenience for early screening and prognosis of the nodules of superficial organs.
Claims (10)
1. A method of analyzing a detectable superficial organ nodule, the method comprising:
selecting a datum point on the surface of the human tissue of interest, and establishing a Cartesian coordinate system;
acquiring data of the surface of human tissue obtained by scanning of a flexible sensor, and generating a planar two-dimensional result graph;
denoising the planar two-dimensional result graph to obtain three-dimensional image data;
carrying out superfine supplementation on a near section space body of the surface of the human tissue of interest by adopting a thinning difference algorithm to obtain supplemented three-dimensional image data;
rearranging, filtering and assigning the gray information of the three-dimensional image data after supplementing, and identifying by adopting a contour identification algorithm to obtain contour data;
and performing mechanical learning according to the contour data to obtain correlation between the malignant graph indication and the malignant degree and obtain an analysis result.
2. The method of claim 1, wherein the planar two-dimensional result pattern is denoised using wavelet transform filtering and SAR-BM 3-D.
3. The method for analyzing the detectable superficial organ nodules according to claim 1, wherein the data of the human tissue surface scanned by the flexible sensor is obtained by scanning the human tissue surface in a common and controlled B-mode of the flexible sensor.
4. The method of claim 1, wherein the gray information of the three-dimensional image data is rearranged, filtered and assigned by using a ray Casting method and a Casting algorithm.
5. The method of claim 1, wherein the mechanical learning based on the contours is mechanical learning using gaussian naive bayes GNB and decision trees.
6. A system for detecting superficial organ nodules, the system comprising:
coordinate establishing unit: the method comprises the steps of selecting a datum point on the surface of a human tissue of interest and establishing a Cartesian coordinate system;
a scanning unit: the method comprises the steps of acquiring data of the surface of human tissue obtained by scanning a flexible sensor, and generating a planar two-dimensional result graph;
denoising unit: the method comprises the steps of denoising the planar two-dimensional result graph to obtain three-dimensional image data;
and a supplementing unit: the method is used for carrying out superfine supplementation on the adjacent section space body of the surface of the human tissue of interest by adopting a thinning difference algorithm to obtain supplemented three-dimensional image data;
an identification unit: the method comprises the steps of rearranging, filtering and assigning gray information of the three-dimensional image data after supplementation, and identifying by adopting a contour identification algorithm to obtain contour data;
a learning unit: and the analysis method is used for carrying out mechanical learning according to the contour data to obtain correlation between the malignant graph indication and the malignant degree and obtain an analysis result.
7. A flexible sensing device for detecting superficial organ nodules, the flexible sensing device comprising: the device comprises a flexible sensor, a data processing unit and a terminal, wherein the flexible sensor is used for acquiring data of the surface of a human tissue of interest and providing the data to the data processing unit, and is characterized in that the data processing unit processes the acquired data by applying the analysis method for detecting the superficial organ nodules according to any one of claims 1-5 and sends the generated analysis result to the terminal.
8. A flexible sensing device for detecting superficial organ nodules as claimed in claim 7, wherein said flexible sensor includes: the ultrasonic sensor comprises an ultrasonic generation layer, a flexible electrode, a backing layer, a matching layer and a flexible packaging material, wherein the ultrasonic generation layer comprises a plurality of sensing arrays, the flexible electrode adopts a snake-shaped electrode structure, the matching layer is connected with the ultrasonic generation layer along the sound transmission direction through the flexible electrode, the backing layer is connected with the other side of the ultrasonic generation layer through the flexible electrode, and the flexible packaging material is wrapped outside the backing layer and the matching layer.
9. A computer device, characterized in that it comprises a memory in which a computer program is stored and a processor which, when running the computer program stored in the memory, performs a method of analysing detectable superficial organ nodules according to any one of claims 1-5.
10. A computer readable storage medium for storing a computer program for performing a method of analyzing a detectable superficial organ nodule according to any one of claims 1-5.
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| CN202311357253.XA CN117322917A (en) | 2023-10-19 | 2023-10-19 | Flexible sensing device capable of detecting superficial organ nodules and analysis method and system thereof |
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| CN202311357253.XA CN117322917A (en) | 2023-10-19 | 2023-10-19 | Flexible sensing device capable of detecting superficial organ nodules and analysis method and system thereof |
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2023
- 2023-10-19 CN CN202311357253.XA patent/CN117322917A/en active Pending
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