1688 results about "Ultrasonic imaging" patented technology

The invention relates to the technical field of computer vision, and discloses a thyroid ultrasonic robot automatic scanning method, device and equipment based on RGB images and depth information and a medium, and the method comprises the steps: obtaining image information and depth information, coding the depth information, fusing and recognizing a target scanning area, determining an initial scanning point and an initial scanning direction, controlling the scanning probe to scan and collect a real-time scanning image, analyzing the real-time scanning image to recognize a preset target and an artifact area, adjusting a scanning posture and a scanning path based on a recognition result, monitoring a continuous existence state of the preset target, and stopping scanning when the preset target is not recognized continuously. The target area is identified by fusing the multi-modal image information, the scanning posture and path are dynamically adjusted in combination with real-time image analysis, scanning termination is intelligently controlled according to the target detection result, the positioning accuracy, image quality and standardization level of ultrasonic scanning are improved, and the method is suitable for automatic ultrasonic imaging of thyroid and superficial organs.

The invention discloses a deconvolution-based full-focusing super-resolution imaging method, and relates to the technical field of full-focusing super-resolution imaging, and the method specifically comprises the steps: 1, carrying out the data collection based on a full-matrix collection mode, and carrying out the initial image reconstruction through a full-focusing method, and 2, carrying out the reconstruction of an initial image through the analysis of a point spread function of an imaging system, the method comprises the following steps: step 1, establishing a physical convolution model to describe a fuzzy effect in an imaging process, and step 2, by taking minimization of an imaging error as a target and introducing sparse constraint, promoting generation of non-zero reaction only at a position where a defect actually exists in a reconstructed image and inhibiting background noise and artifacts. A point spread function modeling imaging process is introduced, sparse deconvolution solution is carried out on defect distribution by utilizing a fast iteration threshold method, and a super-resolution imaging scheme which has a physical basis and is high in robustness and calculation efficiency is provided for guided wave ultrasonic imaging.

A method and system for determining a regional weakening (RW) value in a blood vessel using ultrasonic imaging. A set of images of a portion of a given patient's body collected over time is received. A set of measurements representing the movement of the tissue of the blood vessel is received, and the set of measurements is determined based on the set of images. The movement of the wall and lumen at least partially indicates strain. A blood flow velocity value in the blood vessel is determined based on a Doppler image, and an RW parameter indicating the state of weakening in a region of the blood vessel is determined based on at least the set of measurements, thrombus burden, and blood flow velocity value. A map showing the circumference of the blood vessel including the regional weakening value and the strain value may be displayed.

An ultrasound imaging system configured to generate a three-dimensional (3D) ultrasound image of a target area. The ultrasound imaging system includes a console including one or more processors and non-transitory computer readable medium having stored thereon one or more logic modules, and an ultrasound probe configured to acquire a plurality of ultrasound images of a target area. The ultrasound probe can be coupled to the console by an ultrasound probe connector having optical fiber including one or more core fibers. The console is configured to generate the 3D ultrasound image by stitching together the plurality of ultrasound images, starting from a point of reference. The point of reference can be the ultrasound probe, one or more anatomical targets, an elongate medical device, a reference magnet, or one or more accelerometers.

The invention belongs to the technical field of image processing, and discloses a miniature ultrasonic image reconstruction method, device and equipment based on deep learning. The method comprises the following steps: constructing a lightweight U-Net model by a processed signal; a mixed loss function and a quantitative perception optimization and compression lightweight U-Net model are adopted, the processed model is deployed on an FPGA, a layered mapping strategy and a double-buffering mechanism are adopted to execute reasoning, and a reconstructed image is output; an up-sampling strategy is dynamically selected through a closed-loop feedback super-resolution module to optimize a reconstructed image, the ultrasonic imaging quality is improved through a lightweight U-Net architecture, hardware collaborative optimization and an end-to-end imaging pipeline, and a depth separable convolution, multi-scale attention gating and mixed loss function optimization algorithm is adopted; the power consumption is reduced through FPGA accelerated reasoning, dynamic voltage frequency adjustment and on-chip memory optimization, the imaging effect is improved through quantitative perception training, and the system is high in resolution, low in power consumption, high in real-time performance and suitable for portable medical equipment.

The invention provides a full-focusing ultrasonic imaging method for multi-modal damage of a composite material, and the method comprises the steps: calculating the correlation of the reflection intensity of a sound wave signal at different moments and spatial positions through employing an established quantitative corresponding relation, recognizing a close contact region and a loose separation region between a bonding layer and a substrate, and carrying out the recognition of the close contact region and the loose separation region. Judging the continuity distribution condition of the interface contact state; according to the continuous distribution condition of the interface contact state, key feature points of dynamic damage evolution are extracted, a time sequence analysis method is adopted to track the feature points to adapt to damage features of dynamic changes, and prediction data of the damage expansion trend are obtained; and according to the dynamic representation result of the interface state, fusing the obtained multi-period signal characteristic data, carrying out quantitative calculation on the area change of the debonding region, judging the residual distribution state of the bonding strength, and obtaining a comprehensive evaluation report of the damage degree of the bonding interface.

The invention discloses a deep learning-based multimodal image fusion method for soft tissue photoacoustic / ultrasound imaging. Steps: an ultrasound-photoacoustic imaging device acquires photoacoustic and ultrasound images of human soft tissue and performs size normalization processing; an input spatial transformation module converts the images to the YCbCr space; an input pre-convolution module modifies the number of data channels; an input multi-scale feature extraction module extracts salient features from the source images; an input filter prediction module derives multi-scale filters; and an input filter fusion and adaptive enhancement module combines the input source images to obtain the final fused result. The invention has superior fusion performance compared to several traditional fusion methods and deep learning-based fusion methods, and more importantly, it exhibits excellent real-time performance. Furthermore, various modes of photoacoustic / ultrasound fusion extension experiments have verified the effectiveness of the method proposed in the invention.

The invention discloses lithotripsy equipment and a control method thereof. The lithotripsy equipment comprises a lithotripsy device, an optical tracking device, a display and control device and an ultrasonic imaging device, the lithotripsy device comprises a mechanical arm module, a shock wave module and a control module; the mechanical arm module and the shock wave module are both electrically connected with the control module, and the control module and the optical tracking device are both electrically connected with the display and control device. The ultrasonic imaging device comprises a handheld ultrasonic probe; the handheld ultrasonic probe is in communication connection with the display and control device; the mechanical arm module comprises a mechanical arm, the shock wave module comprises a shock wave generator, and the shock wave generator is arranged at the front end of the mechanical arm; and a plurality of optical reflection markers are arranged on the backs of the handheld ultrasonic probe and the shock wave generator. According to the lithotripsy equipment provided by the embodiment of the invention, the intelligent degree of the extracorporeal shock wave lithotripsy machine is improved, the extracorporeal shock wave lithotripsy treatment process is simplified, and the treatment positioning precision is improved.

Exemplary embodiments provide systems and methods for portable medical ultrasound imaging. Preferred embodiments utilize a tablet touchscreen display operative to control imaging and display operations without the need for using traditional keyboards or controls. Certain embodiments provide ultrasound imaging system in which the scan head includes a beamformer circuit that performs far field sub array beamforming or includes a sparse array selecting circuit that actuates selected elements. Exemplary embodiments also provide an ultrasound engine circuit board including one or more multi-chip modules, and a portable medical ultrasound imaging system including an ultrasound engine circuit board with one or more multi-chip modules. Exemplary embodiments also provide methods for using a hierarchical two-stage or three-stage beamforming system, three dimensional ultrasound images which can be generated in real-time.

The invention relates to the technical field of ultrasonic detection, in particular to an ultrasonic imaging method and system for ultrasonic detection of a titanium alloy bar, and the method comprises the steps: obtaining an ultrasonic detection signal of each detection point; the ultrasonic detection signals of the detection points form an initial imaging area according to the combined probing path, and a state label about amplitude deviation in the initial imaging area is recognized; performing conditional mapping on the frequency spectrum difference of each detection point and the interval time during detection by using the state label of the initial imaging area to obtain the difference classification of each detection point; according to the difference classification of each detection point, identifying the difference guidance of the current detection path, converting the corresponding detection point into a displacement component of the surface of the titanium alloy bar according to the combination position of each detection point in the difference guidance, analyzing partial data of a minimum value, a minimum value inflection point and an offset standard value of the displacement component distribution, and calculating the displacement of the titanium alloy bar. Identifying the surface defect form of the titanium alloy bar; and the titanium alloy bar defect identification accuracy and efficiency are realized.

The invention belongs to the technical field of geological engineering monitoring and multi-physics field intelligent sensing, and discloses a separation grouting slurry migration monitoring method and system, and the method comprises the steps: constructing an acoustics-optics-electricity-electromagnetism multi-physics field coupling monitoring system; a grouting hole and a monitoring drilling hole array are arranged in a target stratum, a distributed optical fiber sensor, a drilling hole ultrasonic imager, a resistivity measuring device and a transient electromagnetic detection device are installed, and a three-dimensional monitoring network is formed; synchronously acquiring sound field, light field, electric field and magnetic field data; four-field monitoring data and overlying strata multi-parameter observation data are fused, a coal seam mining three-dimensional overlying strata separation model is constructed, and a slurry diffusion three-dimensional visualization model is generated through numerical simulation; and based on the four-field monitoring response difference of the separation space before and after grouting, in combination with a monitoring frequency domain correction model of multiple indexes of grout diffusion, the diffusion range, compactness and filling effect of the grouting grout are evaluated, and abnormal early warning is triggered.

The present application relates to an ultrasonic imaging method and apparatus, a computer device, a medium and a computer product. The method comprises: acquiring an ultrasonic echo signal of a target area, wherein the ultrasonic echo signal is an echo signal reflected after an ultrasonic signal of a target transmitting frequency is sent to the target area; in the target area, presetting a tracer substance, and on the basis of the size relationship of the target transmitting frequency and a preset resonance frequency range of the tracer substance, determining a target imaging mode corresponding to the target area; and within a preset duration, on the basis of the target imaging mode, carrying out signal acquisition on the ultrasonic echo signal to obtain a plurality of target tracer signals, and by means of the target imaging mode, carrying out positioning tracking on each target tracer signal to obtain a target ultrasonic image. By means of the method, a high-resolution ultrasonic image can be obtained, and the accuracy and precision of the ultrasonic image can be further improved. Moreover, the method is applied to the field of medical detection, so that the detection efficiency can be improved while the detection costs are reduced.

The embodiment of the invention discloses a cervical cancer wettability risk assessment method and system based on three-dimensional ultrasound and tomographic ultrasound imaging. The method comprises the steps that three-dimensional ultrasound image data and tomographic ultrasound imaging data of a target cervical region are acquired; carrying out preprocessing and image registration on the three-dimensional ultrasonic image data and the tomography ultrasonic imaging data; fusing the spatial structure information and the chromatography tissue information by adopting a weighted fusion algorithm to generate fused image data containing multi-dimensional features; performing feature extraction on the fused image data by using a feature extraction model, and combining morphological features and histological features to generate a high-dimensional feature vector; extracting hemodynamic parameters based on the three-dimensional ultrasonic image data; inputting the high-dimensional feature vector and the hemodynamic parameters into a risk assessment model to generate a cervical cancer wettability risk score; according to the risk score, outputting a cervical cancer wettability risk assessment result; and high-precision cervical cancer wettability evaluation is realized.

The invention discloses an array type optical fiber ultrasonic imaging system based on multi-path delay parallel detection, and belongs to the technical field of ultrasonic detection and imaging. The main working process of the system is as follows: continuous laser output by a laser is modulated into pulse laser to be transmitted to an optical fiber ultrasonic detector array, and ultrasonic waves emitted by an ultrasonic wave generating device act on each detection array element to cause the property change of a detection optical signal; through multi-path time delay with the optical fiber as the medium, the detection optical signal forms different transmission time in each channel, is distinguished in a time division mode and is combined into a single path to be output. After photoelectric conversion, electric signals containing multi-channel detection information are collected in parallel, the signals are analyzed at a terminal processor by means of an imaging algorithm with an array parallel architecture, information of a to-be-detected target is obtained, and image reconstruction is completed. The array type optical fiber ultrasonic imaging system has the advantages of being accurate and rapid in scanning detection, simple and compact in system structure and efficient and high-quality in image reconstruction, and large-scale and low-cost array type optical fiber ultrasonic imaging is achieved.

The invention discloses a self-adaptive adjustment method and system for operating parameters of color ultrasound equipment, and relates to the technical field of medical imagines.The method comprises the steps that in the cardiac ultrasound examination process, image feature state data information is associated with echo signal state data information, and a motion artifact evaluation coefficient Xwy is obtained; after comparison, an artifact image frame set is marked, and a gain adjustment analysis instruction is sent out; the method comprises the following steps: acquiring vascular rigidity state data information according to interference of vascular instantaneous relaxation on echo signals, and associating the vascular rigidity state data information with a corresponding motion artifact evaluation coefficient Xwy to obtain an echo signal gain degree index Zzy; through comparative analysis, whether each frame of echo signal corresponding to the current artifact image frame set needs gain compensation is judged so as to generate and execute a gain adjustment instruction of a corresponding grade, and the process optimizes the gain adjustment of the echo signal, improves the image quality, ensures the definition of ultrasonic imaging, and improves the accuracy of ultrasonic imaging. Therefore, the accuracy and the diagnosis reliability of cardiac ultrasonic examination are improved.

An ultrasound-imaging system includes an ultrasound probe coupled with a console. Operations of the system can include detecting one or more blood vessels within the ultrasound image and identifying each blood vessel as a vein, an artery or other anatomic element using doppler ultrasound functionality of the ultrasound probe. Operations can also include determining a confidence for the blood vessel identification and defining a window for doppler ultrasound operation. Operations can further include assessing a blood flow rate within blood vessels, and superimposing notifications atop the ultrasound image pertaining to the identity of the blood vessel including a confidence for the identity.

The invention discloses an ultrasonic image analysis method and an ultrasonic imaging system. The method comprises the following steps: acquiring multiple frames of ultrasonic images of the heart of a target object; automatically determining a myocardial contour of the multi-frame ultrasonic image; at least determining the image quality of the myocardial contour of the multi-frame ultrasonic image; determining a modification priority level of a myocardial contour region of each multi-frame ultrasonic image based on the image quality; and displaying at least one frame of ultrasonic image in the multiple frames of ultrasonic images and the corresponding identification information for identifying the modification priority. According to the ultrasonic image analysis method and the ultrasonic imaging system provided by the invention, the modification priority level of the ultrasonic image is determined, and the ultrasonic image and the corresponding identification information for identifying the modification priority level are displayed, so that the visual prompt for recommending the preferential modification frame is realized, and the operation and use efficiency of a doctor is optimized.

The invention provides a head and face tumor screening and classifying method and system based on artificial intelligence. The method comprises the following steps: acquiring texture distribution data of a target area through an ultrasonic imaging device, dividing wavebands of multispectral scanning to correspond to different spectral characteristics, and generating elastic modulus data of a tumor surface through strain field inversion based on multi-modal microscopic image data; and inputting the multi-modal microscopic image data, the texture distribution data and the elastic modulus data into a hybrid model formed by a lightweight convolutional neural network and a feature fusion module, performing cross-modal association mapping on spectral features, spatial features and physical features through a multi-channel attention mechanism, outputting classification features after cross-modal association mapping, and performing classification on the classification features after cross-modal association mapping. And generating a screening classification identifier for indicating benign and malignant classes of the tumor. According to the technical scheme provided by the invention, the accuracy of benign and malignant tumor screening is intelligently improved through cross-modal association mapping.

The embodiment of the invention provides a method for performing ultrasonic scanning on breasts and an ultrasonic imaging system. The ultrasonic scanning is at least partially carried out through a scanning assembly, the scanning assembly comprises a frame, a scanning probe and a driving device are contained in the frame, and the driving device drives the scanning probe to move in the frame to carry out the ultrasonic scanning. The method comprises the following steps: pre-scanning a breast to generate a pre-scanning ultrasonic image of the breast; performing image recognition on the pre-scanning ultrasonic image to obtain the breast size of the breast; and performing scanning planning on the scanning assembly based on the breast size, and performing scanning imaging on the breast by using the scanning assembly based on the scanning planning. According to the embodiment of the invention, the scanning time can be saved, and the scanning success rate is improved.

A method of diagnosing a condition of bodily tissue using a computer, the method comprising comparing, using a computer, a 3D tissue model derived from an ultrasound scan of the bodily tissue with at least one 3D tissue model having common tissue with the bodily tissue, and diagnosing a condition of the bodily tissue responsive to comparing the 3D tissue models.

The invention discloses an ultrasonic blood flow quantitative analysis method based on a skeletonized image, which comprises the following steps of: firstly, selecting a target analysis area containing a micro blood flow image in a grey-scale map formed by ultrasonic imaging; the method comprises the following steps of: firstly, carrying out normalization processing, nonlinear gray mapping, Gaussian filtering, minimum filtering and high-pass filtering in sequence to realize enhancement, noise suppression and edge enhancement on a target image, and finally, carrying out binaryzation on the image, and carrying out skeleton extraction based on an iterative refinement principle to obtain a final blood flow skeleton. According to the method, preprocessing such as noise suppression and edge enhancement is performed on the ultrasonic micro blood flow image before binarization and skeleton extraction, so that the accuracy and robustness of skeleton extraction are remarkably improved, and a reliable basis is provided for subsequent quantitative analysis and quantitative evaluation of a vascular network structure.

The invention provides an ultrasonic three-dimensional imaging method and system based on an FPGA, and relates to the technical field of ultrasonic imaging, and the method comprises the steps: transmitting a chirp signal, receiving an echo signal reflected by a target object, and carrying out the preprocessing; carrying out adaptive filtering, constant false alarm rate detection, adaptive beam forming and three-dimensional positioning algorithm processing on the preprocessed signal to generate target position data; and performing three-dimensional point cloud image reconstruction on the target position data by using a density-based spatial clustering algorithm and a deep learning model, and outputting a target three-dimensional image. Through the innovation of a signal processing algorithm and the collaborative design of the system, the technical bottlenecks of a traditional ultrasonic sensor in detection distance, anti-interference, real-time performance and positioning precision are solved, and the three-dimensional sensing capability with high reliability and strong environmental adaptability is provided for intelligent driving.

The invention relates to a high-signal-to-noise-ratio ultrasonic imaging method and device for internal defects of a curved surface component, a medium and a product, and belongs to the technical field of ultrasonic imaging. According to the method, a linear array ultrasonic probe is adopted to carry out single-time ultrasonic excitation on a curved surface component, a full-matrix echo signal is obtained, first arrival time extraction is carried out on the collected signal, an ultrasonic incident angle is estimated, and discrete coordinates of the surface of the component are obtained; the method comprises the following steps of: fitting a curved surface model, constructing an equivalent virtual array model, calculating transmitting and receiving delay time of each pixel point, realizing initial full-focusing beam forming of signals, estimating an expected signal variance and a noise variance based on maximum likelihood estimation, constructing an initial coherent beam forming machine and performing iterative updating, and finally forming a beam. And taking the coherent beam synthesizer obtained by iteration as a weighting factor, acting on an initial beam synthesis signal for weighting, and completing image reconstruction. The method has the advantages of being high in calculation efficiency, low in system overhead, high in imaging signal-to-noise ratio and the like, and accurate imaging can be achieved in a curved surface structure scene.

The invention relates to the technical field of image reconstruction, and provides an ultrasonic sound velocity image reconstruction method based on deep learning, which comprises the following steps: fixing an array probe and coupling the array probe with a detected workpiece, intercepting and collecting samples and forming a snapshot set, constructing estimation of a covariance matrix, and calculating a channel weighting coefficient. Weighting to generate a preliminary imaging graph and a pixel-level confidence graph; splicing the preliminary imaging image, the pixel-level confidence map and the corresponding multi-channel features to form an input feature map, and processing and outputting a reconstructed ultrasonic imaging image and a corresponding confidence correction image by using a deep neural network; generating candidate reconstructed images in a plurality of spatial scales, and weighting and fusing components of the candidate images according to pixels on each scale according to scale reliability and pixel-level confidence to obtain a fused reconstructed image; candidate extraction, feature quantization, probabilistic discrimination and severity grading are implemented, and a detection report is generated in a standardized format and recorded for subsequent backflow training.

The invention discloses a shoulder joint puncture guiding system and method based on an intelligent ultrasonic image, and the system comprises an ultrasonic image collection and preprocessing module, an anatomical structure recognition and positioning module, a puncture path planning and guiding module, a puncture operation real-time monitoring and feedback module, and a puncture result evaluation and recording module. Through intelligent ultrasonic image recognition and path planning, the technical problems that traditional shoulder joint puncture depends on doctor experience and is insufficient in precision are solved, through real-time monitoring and feedback, the technical problem that important anatomical structures are prone to being accidentally injured in the traditional puncture process is solved, the operation safety is improved, and through the intelligent puncture guiding system, the puncture guiding accuracy is improved. The technical problems that a traditional method lacks a standardized process and is poor in operation consistency are solved, and the technical problems that a traditional puncture method is long in time consumption and low in efficiency are solved through automatic anatomical structure recognition and path planning.

The invention is suitable for the technical field of ultrasonic imaging, and provides a three-dimensional ultrasonic imaging method and system, computer equipment and a computer program product, and the method comprises the steps: transmitting a multi-angle composite plane wave sequence to a target region through a one-dimensional ultrasonic array with the frequency gradual change characteristic in the elevation direction, and receiving a reflected echo signal sequence, generating a target gray-scale image sequence corresponding to the echo signal sequence, acquiring coordinates of each ultrasonic contrast agent microbubble in each frame of gray-scale image, generating a two-dimensional coordinate set, calculating the axial half-peak full width of a point spread function region of each ultrasonic contrast agent microbubble, and calculating the axial half-peak full width of the point spread function region of each ultrasonic contrast agent microbubble; determining the coordinate of each ultrasonic contrast agent microbubble in the elevation angle direction based on the axial half-peak full width, generating an elevation angle coordinate set, and generating a three-dimensional contrast image of the target area based on the two-dimensional coordinate set and the elevation angle coordinate set. According to the method provided by the invention, the problem that three-dimensional ultrasonic imaging is limited by the surface ultrasonic array can be solved, and low-cost, simple and efficient three-dimensional ultrasonic imaging based on the one-dimensional ultrasonic array is realized.

The invention relates to an ultrasonic catheter driving device and an ultrasonic imaging device.The driving device comprises a base, a first driving mechanism and a first transmission mechanism, the first driving mechanism and the first transmission mechanism are arranged on the base, and the first driving mechanism is used for providing power for the first transmission mechanism; the first transmission mechanism comprises a first transmission assembly, a second transmission assembly and a clutch control assembly, the first transmission assembly abuts against the second transmission assembly, and the clutch control assembly is arranged on the first transmission assembly and used for driving the first transmission assembly to move linearly. And the first transmission assembly and the second transmission assembly are separated from each other or abut against each other. The device is simple in structure, can realize switching between automatic control and manual control in the linear motion process of the ultrasonic catheter, and is direct in response and simple and reliable in structure.

The invention discloses a long-distance pressure water conveying pipeline retention air mass discharging method which comprises the following steps: S1, in the water filling process of a long-distance pressure horizontal water conveying pipeline, detecting whether retention air mass exists in the pipeline or not through a flow-pressure difference correlation analysis method; s2, when the retained air mass exists in the horizontal water conveying pipeline, geometric parameters of the retained air mass in the horizontal pipeline are obtained based on an ultrasonic imaging inversion technology, and a dimensionless number n is calculated according to the geometric parameters; s3, when n is larger than 0.8, according to the critical Friedel number, the gravitational acceleration and the diameter of the water conveying pipeline, the starting flow speed of the retention air mass is calculated; s4, when n is smaller than or equal to 0.8, multiple stresses of the retained air mass in the horizontal water conveying pipeline are calculated according to the geometric parameters, and the starting flow speed of the retained air mass is calculated through the multiple stresses; and S5, a water conveying power mechanism of the water conveying pipeline is controlled to adjust the flow of the water conveying pipeline till the average flow speed of the water conveying pipeline is larger than the starting flow speed, and the retained air mass is conveyed to a downstream exhaust valve of the water conveying pipeline to be discharged.

The invention relates to the technical field of medical ultrasonic imaging, and particularly discloses an ultrasonic probe pressure real-time feedback system fused with elastography. The system comprises an ultrasonic probe integrated with a multi-dimensional pressure sensing array, an elastic imaging processing module, a central processing unit and a multi-mode feedback module. The probe synchronously collects pressure and echo signals; the central processing unit executes a pressure-elasticity coupling analysis algorithm, dynamically evaluates a scanning state and generates a feedback signal; and the feedback module provides real-time guidance for the operator through the tactile, visual and auditory units. According to the invention, real-time and quantitative monitoring and intelligent feedback of the pressure of the ultrasonic probe are realized, the problem of large variability of an elastic measurement result caused by difference of operation techniques is effectively solved, and the standardization degree, the result accuracy and the clinical universality of examination are improved.

The invention discloses an AI robot assisted esophageal ultrasonic detection system and method. The system comprises a control type mechanical arm and a multi-mode sensing probe. The AI robot control module is configured to control the insertion depth, the deflection angle and the contact pressure of the multi-mode sensing probe through the control type mechanical arm; the signal processing module is used for carrying out synchronous acquisition and noise reduction processing on the temperature data, the ultrasonic imaging data, the optical image data, the contact force data, the impedance data and the blood flow signals; and the AI engine module is based on multi-modal data fusion, is provided with a pre-trained deep learning model, and is used for generating an esophageal wall structure in real time, extracting hemodynamics and focus features and optimizing an examination path. Through a multi-mode sensing probe, intelligent robot control and a multi-source data fusion AI algorithm, accurate evaluation of the esophageal structure and function is realized. The accuracy, the safety and the efficiency of digestive tract disease diagnosis are remarkably improved by combining adaptive path planning and a lesion automatic classification technology.