Multi-source information guided adaptive ultrasonic sensing system and control method

Abstract

This invention discloses a multi-source information-guided adaptive ultrasound sensing system and control method, specifically relating to the field of ultrasound imaging technology in medical imaging. It includes a reconfigurable origami sensing module, a multi-degree-of-freedom driving module, a parameter control module, a multi-source information storage and retrieval module, and a compressed sensing image reconstruction module. A rapid reconnaissance scan is performed using a default origami mode and a sparse folding state sequence to generate preliminary reconstructed images. The system extracts the location, size, and morphological features of the vessel wall boundary and suspected plaque areas. It also retrieves historical high-resolution images of the target individual, historical optimal control parameters for the target individual, and a database of historical optimal parameters for multiple individuals to determine the origami mode number, non-uniform folding state sequence, folding angle sequence, and driving voltage sequence. Based on this, the multi-degree-of-freedom driving module performs a fine target scan, and the compressed sensing image reconstruction module generates images of the target region, solving the problem that fixed spatial coding paths are difficult to adapt to the individualized spatial distribution of carotid artery plaques.

Description

Technical Field

[0001] This invention relates to the field of ultrasound imaging technology in medical imaging, and more specifically, to a multi-source information-guided adaptive ultrasound sensing system and control method. Background Technology

[0002] In medical ultrasound imaging applications, ultrasound sensors are typically placed close to the skin surface of the human neck. Sound waves must penetrate multiple acoustic media, including subcutaneous soft tissue, blood vessel walls, and blood cavities, to obtain echo or acoustic response signals from the boundaries of blood vessel walls and local tissue structures. Existing origami-structure compression ultrasound imaging solutions typically utilize a single-degree-of-freedom foldable origami substrate to form multiple preset folding states, each corresponding to a different spatial response. The sensor sequentially acquires acoustic response signals according to the preset folding state sequence, and then combines this with the spatial coding information corresponding to each folding state to reconstruct the compressed sensing image. This processing logic is based on a pre-designed folding path and a universal spatial coding state, assuming that the target structure within the field of view can be characterized by multiple sets of spatial responses under a fixed sequence.

[0003] The aforementioned fixed spatial coding path easily leads to the problem of dispersed coding resources in a single critical area. This is because the carotid artery examination area is not a homogeneous acoustic space. The blood cavity, intima-media, adventitia, surrounding soft tissue, and plaque tissue differ in acoustic impedance, scattering intensity, boundary curvature, and micro-displacement caused by pulsation. Furthermore, plaques typically only occupy a local area of ​​the vessel wall, and their location, size, and surface morphology can change due to individual anatomical variations. When the sensor still forms a fixed total impulse response according to a pre-designed folding sequence, the spatial sensitivity distribution resulting from each folding state primarily serves general coverage of the entire field of view. Sound field sampling energy and compressed measurement dimensions are allocated to the blood cavity, the relatively straight vessel wall, and other non-critical areas. This transmission process is as follows: each fixed folding state determines the sensor's instantaneous spatial response, which in turn determines the contribution weight of each spatial location in the echo or acoustic response signal. Finally, compressed sensing reconstruction can only recover the image based on these measurements that have been constrained by fixed coding. If the critical plaque region does not match the pre-defined high-sensitivity area, the representation of the critical plaque region's boundary echo, local scattering abrupt changes, and morphological details in the measurement matrix will be diluted. Simultaneously, to compensate for the lack of residual local information, it is often necessary to add folding states or extend the acquisition process. The resulting chain reaction is that, because the boundaries, size, and morphology of the critical lesion region cannot be well displayed within the limited scan time, the more non-critical regions occupy the encoding, the more sensitive the examination process becomes to individual vascular orientation, the spatial distribution of plaques, and slight body movements, thus affecting the imaging stability and subsequent interpretation reliability in superficial vascular plaque monitoring scenarios. Summary of the Invention

[0004] To overcome the aforementioned deficiencies of the prior art, this invention provides a multi-source information-guided adaptive ultrasonic sensing system and control method. By rapidly reconstructing images through reconnaissance scanning, the system extracts the location, size, and morphological features of suspected plaque regions. Combined with multi-source historical information, it determines the non-uniform folding state sequence and origami pattern number, enabling the reconfigurable origami sensing module to perform fine target scanning around the target encoding window, thereby solving the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a multi-source information-guided adaptive ultrasonic sensing system, comprising a reconfigurable origami sensing module, a multi-degree-of-freedom driving module, a parameter control module, a multi-source information storage and retrieval module, and a compressed sensing image reconstruction module; The reconfigurable origami sensing module includes a reconfigurable origami base and a piezoelectric sensing layer disposed in the sensing area of ​​the reconfigurable origami base; The multi-degree-of-freedom drive module is connected to the reconfigurable origami base and is used to control the reconfigurable origami base to switch origami motion modes and form multiple folding states according to origami mode control commands, folding angle sequences and drive voltage sequences. The compressed sensing image reconstruction module is used to receive ultrasonic response signals acquired under different folding states and generate preliminary reconstructed images and target area images. The multi-source information storage and retrieval module is used to store and retrieve historical high-definition images of the target person, historical optimal control parameters of the target person, and a database of historical optimal parameters for multiple people. The parameter control module is used to control the multi-degree-of-freedom drive module to perform rapid reconnaissance scanning with a default origami mode and sparse folding state sequence, so that the compressed sensing image reconstruction module generates a preliminary reconstructed image; it is used to extract the vessel wall boundary, suspected plaque region location, suspected plaque region size, and suspected plaque region morphological features from the preliminary reconstructed image, and to call the multi-source information storage and retrieval module to determine the origami mode number, non-uniform folding state sequence, folding angle sequence, and driving voltage sequence used for fine target scanning; it is used to control the multi-degree-of-freedom drive module to perform fine target scanning according to the origami mode number, non-uniform folding state sequence, folding angle sequence, and driving voltage sequence used for fine target scanning, so that the compressed sensing image reconstruction module generates a target region image.

[0006] Preferably, the reconfigurable origami base is equipped with micro-lockable hinges or shape memory alloy actuators at key nodes. The parameter control module selectively drives the micro-lockable hinges or shape memory alloy actuators to change the local folding constraints or crease valley assignments of the reconfigurable origami base, so that the reconfigurable origami base switches between multiple predefined origami motion modes, generating a reconfigurable single-degree-of-freedom motion mode library.

[0007] Preferably, the parameter control module delineates a target encoding window in the preliminary reconstructed image based on the location of the suspected patch region, determines the number of fold states or the distribution density of fold states corresponding to the target encoding window in the non-uniform fold state sequence based on the size of the suspected patch region, determines the origami pattern number corresponding to the target encoding window based on the morphological characteristics of the suspected patch region, and writes the target encoding window, the number of fold states or the distribution density of fold states, and the origami pattern number into the non-uniform fold state sequence used for fine target scanning.

[0008] Preferably, the parameter control module determines the origami pattern number, non-uniform folding state sequence, folding angle sequence, and driving voltage sequence used for fine target scanning in the following ways: The location, size, and morphological characteristics of the suspected plaque region are matched with the target person's historical high-definition images, the target person's historical optimal control parameters, and the target region's depth, area range, blood vessel wall direction, origami pattern number, folding angle sequence, and driving voltage in the database of historical optimal parameters for multiple people. When a matching target person’s historical best control parameters exist, read those historical best control parameters as fine target scanning parameters. When there are no matching historical optimal control parameters for the target person, the parameter records in the multi-person historical optimal parameter library that match the characteristics of the current suspected patch area are read as fine target scanning parameters.

[0009] Preferably, the reconfigurable origami substrate is made of PI film, the PI film is provided with preset creases and hinge mounting holes, the preset creases are provided with flexible connection structures, the miniature lockable hinge is a PEEK material hinge and is fixed at the hinge mounting holes, the miniature lockable hinge is connected to a miniature MEMS motor, and the miniature MEMS motor is electrically connected to the parameter control module.

[0010] Preferably, after the multi-degree-of-freedom driving module drives the reconfigurable origami substrate to form a corresponding folded state according to the origami pattern number, folding angle sequence, and driving voltage sequence, it returns a folding state confirmation signal or a lock completion signal to the parameter control module. After receiving the folding state confirmation signal or lock completion signal, the parameter control module sends a data acquisition permission command to the reconfigurable origami sensing module, so that the reconfigurable origami sensing module can acquire the ultrasonic response signal in the corresponding folded state.

[0011] Preferably, it also includes a data storage and communication module, which is used to store the origami pattern number, folding angle sequence, driving voltage sequence, scanning time, preliminary reconstructed image and target area image corresponding to this scan, and to synchronize the origami pattern number, folding angle sequence, driving voltage sequence, scanning time and target area image to an external platform to update the multi-person historical optimal parameter library.

[0012] Preferably, it also includes a flexible patch body, a sensing module, a flexible ultrasonic drug delivery module, a signal processing module, and a drug delivery parameter control module; The sensing module is disposed on the surface of the flexible patch body and is used to collect drug concentration, tissue pH and local temperature in the lesion area; The flexible ultrasound drug delivery module includes a flexible piezoelectric array, an acoustic impedance matching layer, and a drug reservoir. The signal processing module is electrically connected to the sensing module, the flexible ultrasound drug delivery module and the drug delivery parameter control module, respectively, and is used to convert the analog signals collected by the sensing module into digital lesion status parameters, and to receive the ultrasound drug delivery control signal output by the drug delivery parameter control module. The drug delivery parameter control module is used to read the location and size of the plaque in the target area image, determine the activation unit range of the flexible piezoelectric array based on the plaque location, determine the number of activation units or the ultrasound action range based on the plaque size, and determine the ultrasound frequency, ultrasound power and duty cycle corresponding to each activation unit in combination with the drug concentration, tissue pH and local temperature. The flexible ultrasound drug delivery module is used to generate an ultrasound signal corresponding to the plaque region space based on the activation unit range, the number of activation units or the ultrasound action range, the ultrasound frequency, the ultrasound power and the duty cycle, and to generate an ultrasound drug delivery control signal for driving the flexible ultrasound drug delivery module.

[0013] To achieve the above objectives, the present invention provides the following technical solution: a multi-source information-guided adaptive ultrasonic sensing control method, comprising: Load the default origami mode and sparse folding state sequence; The reconfigurable origami sensing module is controlled to perform rapid reconnaissance scanning based on the default origami mode and sparse folding state sequence, and the compressed sensing image reconstruction module generates a preliminary reconstructed image. Extract the vessel wall boundary, location of suspected plaque areas, size of suspected plaque areas, and morphological features of suspected plaque areas from the preliminary reconstructed images; By calling the target person's historical high-definition images, the target person's historical optimal control parameters, and the multi-person historical optimal parameter library, the origami pattern number, non-uniform folding state sequence, folding angle sequence, and driving voltage sequence used for fine target scanning are determined. The reconfigurable origami sensing module is controlled to perform fine target scanning based on the origami pattern number, non-uniform folding state sequence, folding angle sequence and driving voltage sequence. An image of the target region is generated based on the ultrasonic response signal acquired by the fine target scan.

[0014] Preferably, the method further includes: Read the location and size of patches in the target area image; Read the drug concentration, tissue pH and local temperature collected by the sensor module; The range of activation units of the flexible piezoelectric array is determined based on the location of the plaque, the number of activation units or the range of ultrasound action is determined based on the size of the plaque, and the ultrasound frequency, ultrasound power and duty cycle corresponding to each activation unit are determined in combination with the drug concentration, tissue pH and local temperature. The flexible ultrasound drug delivery module is driven to generate an ultrasound signal corresponding to the plaque area space based on the activation unit range, the number of activation units or the ultrasound action range, the ultrasound frequency, the ultrasound power and the duty cycle, thereby generating an ultrasound drug delivery control signal for driving the flexible ultrasound drug delivery module.

[0015] The technical effects and advantages of this invention are as follows: This invention, through the coordinated configuration of a reconfigurable origami sensing module, a multi-degree-of-freedom driving module, a parameter control module, and a compressed sensing image reconstruction module, enables the system to first perform rapid reconnaissance scanning in a default origami mode and a sparse folding state sequence. Then, based on the blood vessel wall boundary, suspected plaque region location, suspected plaque region size, and suspected plaque region morphological features in the preliminary reconstructed image, it determines the fine target scanning parameters. This allows the preliminary imaging results to inversely constrain the subsequent physical space encoding state, effectively solving the problem that a fixed folding state sequence is difficult to adapt to individualized plaque spatial distributions.

[0016] This invention utilizes a multi-source information storage and retrieval module to access historical high-definition images of the target person, historical optimal control parameters of the target person, and a database of historical optimal parameters for multiple individuals. The parameter control module determines the origami pattern number, non-uniform folding state sequence, folding angle sequence, and driving voltage sequence, enabling fine target scanning to form differentiated spatial coding around the target coding window. This achieves coordinated scheduling between historical information, current reconnaissance images, and reconfigurable origami structures, effectively solving the problems of scattered coding resources in key patch areas and repeated acquisition of non-key areas occupying the scanning process. Attached Figure Description

[0017] Figure 1 This is a block diagram of the overall system structure of the present invention.

[0018] Figure 2 This is a flowchart of the adaptive scanning control of the present invention.

[0019] Figure 3 This is a block diagram of the imaging-linked drug delivery control system of the present invention. Detailed Implementation

[0020] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0021] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0022] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the scope of this application and its application or use.

[0023] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0024] Example 1, see Figure 1 This embodiment provides a multi-source information-guided adaptive ultrasound sensing system for ultrasound sensing and image reconstruction in superficial vascular areas such as the carotid artery. The system includes a reconfigurable origami sensing module, a multi-degree-of-freedom driving module, a parameter control module, a multi-source information storage and retrieval module, a compressed sensing image reconstruction module, and a data storage and communication module.

[0025] The reconfigurable origami sensing module is used to acquire ultrasonic response signals of a target area under different origami modes and folding states. The reconfigurable origami sensing module includes a reconfigurable origami substrate and a piezoelectric sensing layer disposed in the sensing area of ​​the reconfigurable origami substrate. The reconfigurable origami substrate is used to form a variable spatial coding structure, and the piezoelectric sensing layer is used to convert the received ultrasonic response into an electrical signal and output the electrical signal to the compressed sensing image reconstruction module.

[0026] The reconfigurable origami base is equipped with preset creases, hinge mounting positions, and sensing areas for supporting the piezoelectric sensing layer. Miniature lockable hinges or shape memory alloy actuators are installed at key nodes on the reconfigurable origami base. These key nodes are locations that affect the local folding constraints and overall origami motion mode switching of the origami base. The miniature lockable hinges or shape memory alloy actuators are indirectly or directly controlled by the parameter control module to change the folding constraints or crease valley assignments of corresponding creases, enabling the reconfigurable origami base to switch between multiple predefined origami motion modes. These multiple predefined origami motion modes constitute a reconfigurable single-degree-of-freedom motion mode library.

[0027] In one embodiment, the reconfigurable origami substrate is made of a PI film. Preset creases and hinge mounting holes are formed on the PI film, with a flexible connection structure at the preset creases. The miniature lockable hinge is made of PEEK material and fixed at the hinge mounting holes. The miniature lockable hinge is connected to a miniature MEMS motor, which is electrically connected to the parameter control module. The parameter control module outputs a drive voltage sequence to the miniature MEMS motor, which in turn drives the miniature lockable hinge to adjust the angle of the corresponding crease for locking. In another embodiment, shape memory alloy actuators are set at key nodes of the reconfigurable origami base. The parameter control module outputs a drive signal to the shape memory alloy actuator, causing the shape memory alloy actuator to change the local constraint state near the corresponding crease, thereby converting the reconfigurable origami base into the corresponding predefined origami motion mode.

[0028] The piezoelectric sensing layer is a PVDF piezoelectric film. The PVDF piezoelectric film is adhered to the sensing area of ​​the reconfigurable origami substrate and connected to electrodes via conductive adhesive. The electrodes output the electrical signal generated by the PVDF piezoelectric film to the compressed sensing image reconstruction module. A medical-grade polysiloxane encapsulation layer is disposed on the outside of the reconfigurable origami substrate. This medical-grade polysiloxane encapsulation layer protects the reconfigurable origami substrate, the piezoelectric sensing layer, and the electrical connection structure, and improves the stability of use when adhered to the human body surface.

[0029] The multi-degree-of-freedom (DOF) drive module is connected to the reconfigurable origami substrate. The DDF drive module receives origami mode control commands, folding angle sequences, and drive voltage sequences output by the parameter control module, and drives the reconfigurable origami substrate to form corresponding origami modes and multiple folding states based on the aforementioned control information. The DDF drive module is used not only to control individual folding angles but also to trigger motion mode switching of the reconfigurable origami substrate before or between scans.

[0030] Furthermore, after driving the reconfigurable origami substrate to form the corresponding folded state, the multi-degree-of-freedom driving module returns a folded state confirmation signal or a locking completion signal to the parameter control module. The folded state confirmation signal indicates that the reconfigurable origami substrate has reached the folded state corresponding to the current folding angle sequence; the locking completion signal indicates that the micro-lockable hinge or shape memory alloy actuator has completed the corresponding constraint state. Upon receiving the folded state confirmation signal or locking completion signal, the parameter control module sends a data acquisition permission command to the reconfigurable origami sensing module. Upon receiving the data acquisition permission command, the reconfigurable origami sensing module acquires the ultrasonic response signal in the described folded state and outputs the described ultrasonic response signal to the compressed sensing image reconstruction module. Through the above data acquisition admission process, the acquired ultrasonic response signal corresponds to the corresponding folded state.

[0031] The parameter control module is connected to the multi-degree-of-freedom drive module, the multi-source information storage and retrieval module, the compressed sensing image reconstruction module, and the data storage and communication module. The parameter control module is used to load the default origami mode and sparse folding state sequence to generate rapid reconnaissance scanning control commands; it is also used to receive the preliminary reconstructed image generated by the compressed sensing image reconstruction module and extract the vessel wall boundary, suspected plaque region location, suspected plaque region size, and suspected plaque region morphological features from the preliminary reconstructed image; it is also used to retrieve historical data from the multi-source information storage and retrieval module and output the origami mode number, non-uniform folding state sequence, folding angle sequence, and driving voltage sequence used for fine target scanning.

[0032] The multi-source information storage and retrieval module is used to store and retrieve historical high-resolution images of the target subject, historical optimal control parameters of the target subject, and a multi-person historical optimal parameter library. The historical high-resolution images of the target subject provide information on the location, vascular orientation, and plaque area of ​​the target region in previous scans of the same subject. The historical optimal control parameters of the target subject are records of control parameters that match the characteristics of the target region and have been used in historical records, used to record the origami pattern number, folding angle sequence, driving voltage sequence, and scan time used in previous scans of the same subject. The multi-person historical optimal parameter library is a set of control parameter records that match the characteristics of different target regions and have been used in historical records, used to record the matching relationship between different target region characteristics and corresponding scan parameters.

[0033] The compressed sensing image reconstruction module receives ultrasound response signals obtained by the reconfigurable origami sensing module under different folding states, and combines them with spatial coding information under the corresponding folding states to generate preliminary reconstructed images or target region images. The preliminary reconstructed images are used by the parameter control module to identify vessel wall boundaries and suspected plaque areas; the target region images are used to output the target region imaging results formed after fine target scanning.

[0034] The data storage and communication module is used to store the origami pattern number, folding angle sequence, driving voltage sequence, scanning time, preliminary reconstructed image, and target area image corresponding to this scan. The data storage and communication module is also used to send the origami pattern number, folding angle sequence, driving voltage sequence, scanning time, and target area image to an external platform to update the multi-person historical optimal parameter database.

[0035] Through the above structure, the multi-source information-guided adaptive ultrasonic sensing system forms a structural link and data link uniformly scheduled by the parameter control module: the parameter control module outputs origami mode control commands to the multi-degree-of-freedom drive module; the multi-degree-of-freedom drive module drives the reconfigurable origami sensing module to form a corresponding folding state and returns a folding state confirmation signal or a lock completion signal to the parameter control module; after confirming the folding state, the parameter control module sends a data acquisition permission command to the reconfigurable origami sensing module; the reconfigurable origami sensing module acquires ultrasonic response signals and outputs them to the compressed sensing image reconstruction module; the compressed sensing image reconstruction module generates a preliminary reconstructed image or a target area image; the parameter control module determines subsequent fine target scanning parameters based on the preliminary reconstructed image and historical data in the multi-source information storage and retrieval module; the data storage and communication module stores and synchronizes the scanning parameters and image results.

[0036] Example 2, see Figure 2 This embodiment provides an adaptive ultrasound sensing control process that uses multi-source information to guide the adaptive ultrasound sensing system as described in Embodiment 1. The control process is coordinated by the parameter control module and includes rapid reconnaissance scanning, preliminary reconstructed image generation, suspected plaque region feature extraction, multi-source information retrieval, fine target scanning parameter determination, fine target scanning execution, and target region image generation.

[0037] After system startup, the parameter control module reads the default origami mode and the sparse folding state sequence. The default origami mode is a commonly used origami motion pattern pre-stored in the parameter control module or the multi-source information storage and retrieval module; the sparse folding state sequence is a set of folding states used to quickly acquire overall structural information of the target area. The parameter control module generates rapid reconnaissance and scanning control commands based on the default origami mode and the sparse folding state sequence.

[0038] After receiving the rapid reconnaissance scanning control command, the multi-degree-of-freedom drive module controls the reconfigurable origami substrate to switch to the default origami mode and sequentially forms each fold state in the sparse fold state sequence. After each fold state is formed, the multi-degree-of-freedom drive module returns a fold state confirmation signal or a lock completion signal to the parameter control module. Upon receiving the fold state confirmation signal or lock completion signal, the parameter control module sends a data acquisition permission command to the reconfigurable origami sensing module. The reconfigurable origami sensing module acquires the ultrasonic response signal of the target area in each permitted fold state and outputs the ultrasonic response signal to the compressed sensing image reconstruction module.

[0039] The compressed sensing image reconstruction module receives the ultrasound response signal and performs image reconstruction on the ultrasound response signal according to the spatial coding information corresponding to each fold state to obtain a preliminary reconstructed image. The preliminary reconstructed image is used to display the overall structure of the target area and the preliminary location of the suspected plaque area. The compressed sensing image reconstruction module sends the preliminary reconstructed image to the parameter control module.

[0040] The parameter control module reads the preliminary reconstructed image and extracts the vessel wall boundary, suspected plaque region location, suspected plaque region size, and suspected plaque region morphological features from it. The vessel wall boundary is used to determine the vessel wall orientation and the spatial reference location of the target region. The suspected plaque region location is used to determine the spatial focus area for fine target scanning. The suspected plaque region size is used to determine the number and distribution of states in the non-uniform folding state sequence. The suspected plaque region morphological features are used to determine the appropriate origami motion pattern.

[0041] Furthermore, the parameter control module delineates a target encoding window in the preliminary reconstructed image based on the location of the suspected patch region. The target encoding window is a spatial interest region determined in the preliminary reconstructed image based on the location of the suspected patch region, and serves as the spatial interest range for fine target scanning. The parameter control module determines the number of fold states or the fold state distribution density corresponding to the target encoding window in the non-uniform fold state sequence based on the size of the suspected patch region. The fold state distribution density is the degree of density of the fold states corresponding to the target encoding window in the non-uniform fold state sequence. The parameter control module determines the corresponding origami pattern number from a predefined origami motion pattern based on the morphological characteristics of the suspected patch region. Therefore, the non-uniform fold state sequence is not generated uniformly across the entire field of view, but is jointly defined by the target encoding window, the number of fold states or the fold state distribution density, and the origami pattern number.

[0042] In one embodiment, the parameter control module can extract the vessel wall boundary and suspected plaque regions from the preliminary reconstructed image based on grayscale boundaries, local contour changes, and regional continuity. The parameter control module can also optionally employ a trained image segmentation program to assist in extracting the vessel wall boundary and suspected plaque regions; however, the image segmentation program is not a necessary limitation of this invention.

[0043] After obtaining the location, size, and morphological characteristics of the suspected patch area, the parameter control module invokes the multi-source information storage and retrieval module. The multi-source information storage and retrieval module provides the parameter control module with historical high-resolution images of the target person, historical optimal control parameters for the target person, and a database of historical optimal parameters for multiple individuals.

[0044] The parameter control module compares the spatial location, size, and morphological features of the current suspected plaque region with the historical target region location, historical blood vessel wall orientation, and historical plaque range in the target person's historical high-resolution images. It also matches the spatial location, size, and morphological features of the current suspected plaque region with the origami pattern number, folding angle sequence, driving voltage sequence, and scanning time in the target person's historical optimal control parameters. When a target person's historical optimal control parameter exists that corresponds to the current target region features, the parameter control module reads this target person's historical optimal control parameter as the basis for fine target scanning parameters.

[0045] When no historical optimal control parameters for the target individual corresponding to the current target region characteristics are found, the parameter control module reads the multi-person historical optimal parameter database. The parameter control module matches the current suspected plaque region location, size, and morphological features with the target region depth, target region area range, vessel wall orientation, origami pattern number, folding angle sequence, and driving voltage in the multi-person historical optimal parameter database, and reads the parameter records that match the current suspected plaque region characteristics. The target region depth, target region area range, and vessel wall orientation serve as parameter record retrieval indexes to filter historical scan parameters corresponding to the current target region characteristics.

[0046] In the parameter control module, fine target scanning parameters are determined based on the matching results. These fine target scanning parameters include an origami pattern number, a non-uniform folding state sequence, a folding angle sequence, and a driving voltage sequence. The origami pattern number indicates that the corresponding reconfigurable origami substrate needs to switch to a predefined origami motion mode. The non-uniform folding state sequence is a method to spatially encode multiple folding states around the suspected patch area. Finally, the folding angle sequence limits the folding angle of the reconfigurable origami substrate for each folding state. Finally, the driving voltage sequence drives the micro-MEMS motor or shape memory alloy actuator to complete the corresponding folding state switching.

[0047] After receiving the fine target scanning parameters, the multi-degree-of-freedom driving module controls the reconfigurable origami substrate to switch to the corresponding predefined origami motion mode according to the origami mode number, and sequentially forms multiple folding states according to the non-uniform folding state sequence, folding angle sequence, and driving voltage sequence. After each folding state is formed, the multi-degree-of-freedom driving module returns a folding state confirmation signal or a lock completion signal to the parameter control module. After receiving the folding state confirmation signal or lock completion signal, the parameter control module sends a data acquisition permission command to the reconfigurable origami sensing module. The reconfigurable origami sensing module acquires the ultrasonic response signal corresponding to the suspected plaque region in each permitted folding state and outputs the ultrasonic response signal to the compressed sensing image reconstruction module.

[0048] The compressed sensing image reconstruction module generates a target region image using the ultrasound response signal and folding state spatial coding information obtained from a fine target scan. In this section, the target region image includes at least the patch location and size, and can serve as a data source for subsequent display of imaging results, updating historical parameters, and controlling drug delivery parameters. After scanning is complete, the data storage and communication module saves the origami pattern number used in this scan, the non-uniform folding state sequence, the folding angle sequence, the driving voltage sequence, the scan time, the preliminary reconstructed image, and the target region image. The data storage and communication module also synchronously sends this data to an external platform to update the multi-user historical optimal parameter database proposed in this section.

[0049] Therefore, this embodiment corresponds to an adaptive ultrasound sensing control method, including: loading a default origami mode and a sparse folding state sequence; controlling the reconfigurable origami sensing module to perform a rapid reconnaissance scan according to the default origami mode and the sparse folding state sequence, and generating a preliminary reconstructed image by the compressed sensing image reconstruction module; extracting the vessel wall boundary, suspected plaque region location, suspected plaque region size, and suspected plaque region morphological features from the preliminary reconstructed image; calling the target person's historical high-definition images, the target person's historical optimal control parameters, and a multi-person historical optimal parameter library to determine the origami mode number, non-uniform folding state sequence, folding angle sequence, and driving voltage sequence used for fine target scanning; controlling the reconfigurable origami sensing module to perform fine target scanning according to the origami mode number, non-uniform folding state sequence, folding angle sequence, and driving voltage sequence; and generating a target region image based on the ultrasound response signal acquired by the fine target scan.

[0050] Furthermore, the parameter control module converts the location of the suspected plaque region into the center coordinates and depth of the current target region, converts the size of the suspected plaque region into the area range of the current target region, and converts the morphological characteristics of the suspected plaque region into the vessel wall direction, major and minor axis directions, and boundary curvature level. These fields constitute the current target region retrieval record. The parameter control module prioritizes searching for records of the same vessel segment in the target person's historical optimal control parameters. When the center coordinates of the historical target region fall within a preset position tolerance, the area range of the historical target region and the area range of the current target region belong to the same area level, and the historical vessel wall direction and the current vessel wall direction belong to the same direction level, it is determined that there are matching historical optimal control parameters for the target person. When multiple matching records exist, the record with the most recent scan time and the target region image clarity marked as qualified is read first. When no matching record exists, the corresponding parameter record is read from the multi-person historical optimal parameter database using the current target region depth, current target region area range, vessel wall direction, and boundary curvature level as indexes.

[0051] In one possible embodiment, when the parameter control module generates the non-uniform folding state sequence, it divides the current scanning field of view into a target encoding window, an adjacency buffer, and a peripheral low-density region. The target encoding window corresponds to the suspected plaque region and its outward boundary region, and is assigned a high folding state distribution density; the adjacency buffer is used to connect the target encoding window and the peripheral low-density region, and is assigned a medium folding state distribution density; the peripheral low-density region retains only sparse folding states used to maintain the overall vessel wall orientation identification. Each state record in the non-uniform folding state sequence includes at least a state sequence number, an origami pattern number, a target action area marker, a target folding angle value, a driving voltage value, and a acquisition permission marker. The parameter control module calls a pre-stored pattern-angle-voltage calibration table according to the origami pattern number, converts the target folding angle value into a corresponding driving voltage value, and writes it into the folding angle sequence and the driving voltage sequence respectively, so that the multi-degree-of-freedom driving module can form the corresponding folding state item by item according to the state record.

[0052] Example 3, see Figure 3 This embodiment, based on the adaptive ultrasound sensing system and its control process described in Embodiments 1 and 2, further provides an implementation method for controlling drug delivery parameters in conjunction with imaging results. This drug delivery parameter control implementation method is not a treatment device operating independently of the imaging system, but rather a linked extension structure that receives the location and size of plaques in the target area image and combines this with lesion state parameters to determine the ultrasound drug delivery control parameters.

[0053] The multi-source information-guided adaptive ultrasound sensing system further includes a flexible patch body, a sensing module, a flexible ultrasound drug delivery module, a signal processing module, and a drug delivery parameter control module. The flexible patch body carries the sensing module, the flexible ultrasound drug delivery module, the signal processing module, and the drug delivery parameter control module. The flexible patch body uses a biocompatible stretchable elastomer substrate, allowing it to adhere to the surface of human skin or the area near the target lesion. The flexible patch body and the reconfigurable origami sensing module in Example 1 can be housed in the same bonding assembly (or connected to the same parameter control platform via signal lines or communication interfaces). The sensing module is disposed on the surface of the flexible patch body and is used to collect drug concentration, tissue pH and local temperature in the lesion area; the drug concentration is used to reflect the drug release state in the lesion area; the tissue pH and local temperature are used to reflect the local environmental state in the lesion area; the sensing module outputs the collected analog signals to the signal processing module.

[0054] The signal processing module is electrically connected to the sensing module, the flexible ultrasound drug delivery module, and the drug delivery parameter control module, respectively. The signal processing module converts the analog signals acquired by the sensing module into digital lesion status parameters and sends these parameters to the drug delivery parameter control module. The signal processing module also receives the ultrasound drug delivery control signal output by the drug delivery parameter control module and sends it to the flexible ultrasound drug delivery module.

[0055] The drug administration parameter control module is connected to the compressed sensing image reconstruction module or the data storage and communication module, and is used to read the location and size of plaques in the target area image. The drug administration parameter control module also receives drug concentration, tissue pH, and local temperature output from the signal processing module.

[0056] After reading the patch locations in the target region image, the drug delivery parameter control module maps the patch locations to the element coordinate system of the flexible piezoelectric array, and selects the elements spatially corresponding to the patch locations as activation units. These activation units constitute the activation unit range of the flexible piezoelectric array. After reading the patch size in the target region image, the drug delivery parameter control module determines the number of activation units or the ultrasound action range based on the patch size. When the patch coverage area is large, the number of elements participating in activation or the ultrasound action range increases accordingly; when the patch coverage area is small, the number of elements participating in activation or the ultrasound action range decreases accordingly.

[0057] After determining the range of the activation units, the number of activation units, or the ultrasonic action range, the drug administration parameter control module, in conjunction with the drug concentration, tissue pH, and local temperature, determines the ultrasonic frequency, ultrasonic power, and duty cycle corresponding to each activation unit. The drug administration parameter control module then sends the activation unit range, the number of activation units or the ultrasonic action range, the ultrasonic frequency, the ultrasonic power, and the duty cycle as ultrasonic drug administration control signals to the signal processing module.

[0058] Specifically, the plaque location is used to determine the spatial position of the flexible ultrasound drug delivery module; the plaque size is used to determine the number of active units or the ultrasound range in the flexible piezoelectric array; the drug concentration reflects the local drug state after the drug reservoir releases the drug; and the tissue pH and local temperature constrain the local environmental state during drug delivery. The drug delivery parameter control module, based on the ultrasound drug delivery control signals corresponding to the above inputs and outputs, causes the flexible ultrasound drug delivery module to generate ultrasound signals corresponding to the plaque region space.

[0059] The flexible ultrasound drug delivery module includes a flexible piezoelectric array, an acoustic impedance matching layer, and a drug reservoir. The flexible piezoelectric array generates a corresponding ultrasound signal based on the ultrasound frequency, power, and duty cycle. The acoustic impedance matching layer is disposed on the sound-emitting side of the flexible piezoelectric array to improve the acoustic coupling state when the ultrasound signal is transmitted to human tissue or lesion area. The drug reservoir stores the drug to be released and releases the drug under the action of the ultrasound signal generated by the flexible piezoelectric array.

[0060] During the drug administration parameter control process, the drug administration parameter control module first reads the location and size of the plaque in the target area image generated in Example 2; subsequently, the sensing module collects drug concentration, tissue pH, and local temperature, and sends them to the drug administration parameter control module through the signal processing module; the drug administration parameter control module determines the activation unit range of the flexible piezoelectric array based on the plaque location, determines the number of activation units or the ultrasonic action range based on the plaque size, and determines the ultrasonic frequency, ultrasonic power, and duty cycle corresponding to each activation unit in combination with the drug concentration, tissue pH, and local temperature; the signal processing module drives the flexible ultrasonic drug administration module to generate an ultrasonic signal corresponding to the plaque area space according to the ultrasonic drug administration control signal, and the ultrasonic signal acts on the drug reservoir, causing the drug reservoir to release the drug.

[0061] In one control method, when the drug concentration is below a preset dosing control range, the dosing parameter control module increases the ultrasonic power or duty cycle of the corresponding activation unit to enhance the release effect of the drug reservoir; when the drug concentration reaches the preset dosing control range, the dosing parameter control module decreases the ultrasonic power or duty cycle of the corresponding activation unit to weaken the release effect of the drug reservoir. The preset dosing control range can be set by a physician or written into the dosing parameter control module by an external platform. This control method is used to illustrate the input, processing, and output relationship of the dosing parameter control module and is not limited to a specific numerical range.

[0062] After drug administration is completed, the data storage and communication module records the plaque location, plaque size, activation unit range, number of activation units or ultrasound action range, drug concentration, tissue pH, local temperature, ultrasound frequency, ultrasound power, and duty cycle corresponding to this drug administration. These records can be stored together with the target area image for subsequent parameter retrieval for the same subject.

[0063] Therefore, this embodiment corresponds to a drug delivery control method, including: reading the location and size of the plaque in the target area image; reading the drug concentration, tissue pH, and local temperature collected by the sensing module; determining the activation unit range of the flexible piezoelectric array based on the plaque location; determining the number of activation units or the ultrasonic action range based on the plaque size; determining the ultrasonic frequency, ultrasonic power, and duty cycle corresponding to each activation unit in combination with the drug concentration, tissue pH, and local temperature; and driving the flexible ultrasonic drug delivery module to generate an ultrasonic signal corresponding to the plaque area space based on the activation unit range, the number of activation units or the ultrasonic action range, the ultrasonic frequency, the ultrasonic power, and the duty cycle, thereby generating an ultrasonic drug delivery control signal for driving the flexible ultrasonic drug delivery module.

[0064] In one possible embodiment, the drug delivery parameter control module only performs array element selection and energy output control of the flexible ultrasound drug delivery module, without outputting disease diagnosis conclusions or treatment plans; the drug type, single release limit, preset drug delivery control range, temperature limit, and tissue pH allowable range are pre-written by an external platform or manually. The drug delivery parameter control module maps the plaque location to the activation unit range and the plaque size to the activation unit quantity level; when the drug concentration is lower than the preset drug delivery control range lower limit and the local temperature does not exceed the temperature limit and the tissue pH is within the tissue pH allowable range, the ultrasound power or duty cycle of the corresponding activation unit is increased by a preset level; when the drug concentration reaches the preset drug delivery control range or the local temperature exceeds the temperature limit, the ultrasound power or duty cycle is decreased, and a release inhibition flag is generated when the safety limit is exceeded.

[0065] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A multi-source information guided adaptive ultrasound sensing system, characterized by: The reconfigurable origami sensing module, the multi-degree-of-freedom driving module, the parameter control module, the multi-source information storage and calling module, and the compressed sensing image reconstruction module are included. The reconfigurable origami sensing module includes a reconfigurable origami substrate and a piezoelectric sensing layer arranged on a sensing area of the reconfigurable origami substrate. The multi-degree-of-freedom driving module is connected with the reconfigurable origami substrate, and is used to control the reconfigurable origami substrate to switch origami motion modes and form multiple folding states according to an origami mode control instruction, a folding angle sequence, and a driving voltage sequence. The compressed sensing image reconstruction module is used to receive ultrasonic response signals collected in different folding states, and generate a preliminary reconstruction picture and a target region image. The multi-source information storage and calling module is used to store and call a target person historical high-definition image, a target person historical optimal control parameter, and a multi-person historical optimal parameter library. The parameter control module is used to control the multi-degree-of-freedom driving module to perform a rapid reconnaissance scan in a default origami mode and a sparse folding state sequence, so that the compressed sensing image reconstruction module generates a preliminary reconstruction picture; and is used to extract a blood vessel wall boundary, a suspected plaque region position, a suspected plaque region size, and a suspected plaque region morphological feature from the preliminary reconstruction picture, and call the multi-source information storage and calling module to determine an origami mode number, a non-uniform folding state sequence, a folding angle sequence, and a driving voltage sequence used for a fine target scan. The parameter control module is used to control the multi-degree-of-freedom driving module to perform a fine target scan according to the origami mode number, the non-uniform folding state sequence, the folding angle sequence, and the driving voltage sequence used for the fine target scan, so that the compressed sensing image reconstruction module generates a target region image.

2. The multi-source information guided adaptive ultrasound sensing system of claim 1, wherein, The reconfigurable origami substrate is provided with a micro-lockable hinge or a shape memory alloy actuator at a key node, the parameter control module changes local folding constraints or crease valley assignments of the reconfigurable origami substrate by selectively driving the micro-lockable hinge or the shape memory alloy actuator, so that the reconfigurable origami substrate switches between multiple predefined origami motion modes, and a reconfigurable single-degree-of-freedom motion mode library is generated.

3. The multi-source information guided adaptive ultrasound sensing system of claim 1, wherein, The parameter control module determines an target coding window in the preliminary reconstruction picture according to the suspected plaque region position, determines a folding state number or a folding state distribution density corresponding to the target coding window in the non-uniform folding state sequence according to the suspected plaque region size, determines an origami mode number corresponding to the target coding window according to the suspected plaque region morphological feature, and writes the target coding window, the folding state number or the folding state distribution density, and the origami mode number into the non-uniform folding state sequence used for the fine target scan.

4. The multi-source information guided adaptive ultrasound sensing system of claim 1, wherein, The parameter control module determines the origami mode number, the non-uniform folding state sequence, the folding angle sequence, and the driving voltage sequence used for the fine target scan in the following manner: Match the suspected plaque region position, suspected plaque region size and suspected plaque region morphology feature with the target person historical high-definition image, target person historical optimal control parameter and the target region depth, target region area range, blood vessel wall direction, folding mode number, folding angle sequence and driving voltage in the multi-person historical optimal parameter library; When there is a matched target person historical optimal control parameter, read the target person historical optimal control parameter as the fine target scanning parameter; When there is no matched target person historical optimal control parameter, read the parameter record matched with the current suspected plaque region feature in the multi-person historical optimal parameter library as the fine target scanning parameter.

5. The multi-source information guided adaptive ultrasound sensing system of claim 2, wherein, The reconfigurable origami base is made of a PI film, preset creases and hinge mounting holes are arranged on the PI film, flexible connection structures are arranged at the preset creases, the micro lockable hinges are PEEK material hinges and are fixed at the hinge mounting holes, the micro lockable hinges are connected with the micro MEMS motor, and the micro MEMS motor is electrically connected with the parameter control module.

6. The multi-source information guided adaptive ultrasound sensing system of claim 2, wherein, After the multi-degree-of-freedom driving module drives the reconfigurable origami base to form a corresponding folding state according to the folding mode number, folding angle sequence and driving voltage sequence, the multi-degree-of-freedom driving module returns a folding state confirmation signal or a locking completion signal to the parameter control module; after the parameter control module receives the folding state confirmation signal or the locking completion signal, the parameter control module sends a collection permission instruction to the reconfigurable origami sensing module, so that the reconfigurable origami sensing module collects an ultrasonic response signal in the corresponding folding state.

7. The multiple-source information guided adaptive ultrasound sensing system of claim 1, wherein, The data storage and communication module is further included, and is used for storing the origami folding mode number, folding angle sequence, driving voltage sequence, scanning time, preliminary reconstruction picture and target region image corresponding to this scan, and is used for synchronizing the origami folding mode number, folding angle sequence, driving voltage sequence, scanning time and target region image to an external platform to update the multi-person historical optimal parameter library.

8. The multiple-source information guided adaptive ultrasound sensing system of claim 1, wherein, Further comprising a flexible patch body, a sensing module, a flexible ultrasonic drug delivery module, a signal processing module and a drug delivery parameter control module; The sensing module is arranged on the surface of the flexible patch body and is used for collecting the drug concentration, tissue pH value and local temperature of the lesion region; The flexible ultrasonic drug delivery module comprises a flexible piezoelectric array, an acoustic impedance matching layer and a drug-loaded reservoir; The signal processing module is electrically connected with the sensing module, the flexible ultrasonic drug delivery module and the drug delivery parameter control module respectively, is used for converting an analog signal collected by the sensing module into a digital lesion state parameter, and receives an ultrasonic drug delivery control signal output by the drug delivery parameter control module, that is, triggers the drug-loaded reservoir to release drugs; The drug delivery parameter control module is used to read the location and size of the plaque in the target area image, determine the activation unit range of the flexible piezoelectric array based on the plaque location, determine the number of activation units or the ultrasound action range based on the plaque size, and determine the ultrasound frequency, ultrasound power and duty cycle corresponding to each activation unit in combination with the drug concentration, tissue pH and local temperature. The flexible ultrasound drug delivery module is used to generate an ultrasound signal corresponding to the plaque region space based on the activation unit range, the number of activation units or the ultrasound action range, the ultrasound frequency, the ultrasound power and the duty cycle, and to generate an ultrasound drug delivery control signal for driving the flexible ultrasound drug delivery module.

9. A multi-source information guided adaptive ultrasonic sensing control method for guiding an adaptive ultrasonic sensing system with the multi-source information according to any one of claims 1 to 8, characterized in that, include: Load the default origami mode and sparse folding state sequence; The reconfigurable origami sensing module is controlled to perform rapid reconnaissance scanning based on the default origami mode and sparse folding state sequence, and a preliminary reconstructed image is generated by the compressed sensing image reconstruction module. Extract the vessel wall boundary, location of suspected plaque areas, size of suspected plaque areas, and morphological features of suspected plaque areas from the preliminary reconstructed images; By calling up historical high-definition images of the target person, historical optimal control parameters of the target person, and historical optimal parameter libraries of multiple people, the origami pattern number, non-uniform folding state sequence, folding angle sequence, and driving voltage sequence used for fine target scanning are determined. The reconfigurable origami sensing module is controlled to perform fine target scanning based on the origami pattern number, non-uniform folding state sequence, folding angle sequence and driving voltage sequence. An image of the target region is generated based on the ultrasonic response signal acquired by the fine target scan.

10. The multi-source information guided adaptive ultrasound sensor control method of claim 9, wherein, Also includes: Read the location and size of patches in the target area image; Read the drug concentration, tissue pH and local temperature collected by the sensor module; The activation unit range of the flexible piezoelectric array is determined based on the location of the plaque, the number of activation units or the range of ultrasound action is determined based on the size of the plaque, and the ultrasound frequency, ultrasound power and duty cycle corresponding to each activation unit are determined in combination with the drug concentration, tissue pH and local temperature. The flexible ultrasound drug delivery module is driven to generate an ultrasound signal corresponding to the plaque area space based on the activation unit range, the number of activation units or the ultrasound action range, the ultrasound frequency, the ultrasound power and the duty cycle, thereby generating an ultrasound drug delivery control signal for driving the flexible ultrasound drug delivery module.

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