Monitoring device and medical imaging system

Abstract

The invention relates to a monitoring device and a medical imaging system. The monitoring equipment comprises a plurality of optical sensors which are respectively arranged at different positions of medical imaging equipment and a signal acquisition part of a scanned object, and the plurality of optical sensors are used for acquiring imaging environment light data and physiological light data of the scanned object in an imaging process when the medical imaging equipment is used for imaging the scanned object, the collected imaging environment light data and physiological light data are transmitted to an optical chip; the optical chip comprises a plurality of integrated optical function units and is used for converting imaging environment optical data and physiological optical data into a plurality of electric signal data and transmitting the plurality of electric signal data to the signal processor; and the signal processor is used for processing the plurality of electric signal data and determining imaging environment data and physiological data in the process of imaging the scanned object by the medical imaging equipment. By adopting the method, the monitoring data quantity of the monitoring equipment can be increased in a limited space layout.

Description

Technical Field

[0001] This application relates to the field of imaging technology, and in particular to a monitoring device and a medical imaging system. Background Technology

[0002] In the field of medical imaging, many medical imaging devices require monitoring equipment during the imaging process to monitor the imaging environment data and the physiological data of the scanned object.

[0003] In related technologies, each type of data requires corresponding monitoring equipment during the monitoring of data in the imaging process. Specifically, physiological data requires physiological monitoring equipment, temperature data requires temperature monitoring equipment, and vibration data requires vibration monitoring equipment.

[0004] However, due to spatial limitations, the number of monitoring devices that can be installed in medical imaging equipment is limited, resulting in a limited amount of monitoring data during the imaging process. Summary of the Invention

[0005] Therefore, it is necessary to provide a monitoring device and medical imaging system that can increase the amount of monitoring data within a limited space layout to address the aforementioned technical problems.

[0006] In a first aspect, this application provides a monitoring device, which includes:

[0007] Multiple optical sensors are respectively set at different positions of the medical imaging device and the signal acquisition part of the scanned object. The multiple optical sensors are used to collect imaging ambient light data and physiological light data of the scanned object during the imaging process of the medical imaging device, and transmit the collected imaging ambient light data and physiological light data to the optical chip.

[0008] The optical chip includes multiple integrated optical functional units. The optical chip is used to convert imaging ambient light data and physiological light data into multiple electrical signal data, and transmit the multiple electrical signal data to the signal processor.

[0009] A signal processor is used to process multiple electrical signal data to determine the imaging environment data and physiological data of the medical imaging device during the imaging process of the scanned object.

[0010] In one embodiment, the optical functional unit includes a silicon-based waveguide network, which includes multiple waveguides, and a photonic crystal isolation layer based on the photonic bandgap effect is disposed between adjacent waveguides to achieve optical signal isolation.

[0011] Each waveguide is used to transmit the optical signal generated by the laser source corresponding to different data acquisition to the optical switch array in the optical chip;

[0012] An optical switch array is used to control the transmission of optical signals to multiple optical sensors by turning on the switch array.

[0013] In one embodiment, the silicon-based waveguide network is a hollowed-out curved structure or a rectangular waveguide structure, and the width and thickness of the silicon-based waveguide network are within a preset range.

[0014] In one embodiment, the optical functional unit further includes an optical switch array, which includes a microring resonator. The microring resonator includes a first microring resonator unit and a second microring resonator unit, and the microring spacing between the first microring resonator unit and the second microring resonator unit is less than a preset distance threshold.

[0015] In one embodiment, the optical chip further includes an optical fiber assembly, which includes two interfaces and optical fibers. The two interfaces are respectively connected to a laser source and a silicon-based waveguide network in the optical chip, and both interfaces integrate micro-nano grating polarization compensation units.

[0016] Micro-nano grating polarization compensation unit is used to compensate for the polarization state shift of optical signals during optical fiber transmission in real time.

[0017] In one embodiment, the surface of the optical chip, the sidewalls of the microring resonator of the optical switch array in the optical chip, and the surfaces of the two interfaces are all coated with a magnetically compatible material.

[0018] In one embodiment, the signal processor integrates a programmable gate array with a parallel processing architecture;

[0019] Programmable gate arrays are used to perform data preprocessing operations on multiple electrical signal data, merge the preprocessed multiple electrical signal data in the time dimension and spatial coordinate dimension, and perform parameter mapping on the merged electrical signal data to obtain imaging environment data and physiological data of medical imaging equipment during the imaging process of the scanned object.

[0020] In one embodiment, the programmable gate array is further configured to acquire initial imaging environment data and initial physiological data obtained by parameter mapping, perform data compensation on the initial imaging environment data and initial physiological data respectively, and use the data-compensated imaging environment data as the imaging environment data of the medical imaging device during the imaging process of the scanned object, and use the data-compensated physiological data as the physiological data of the medical imaging device during the imaging process of the scanned object.

[0021] In one embodiment, the programmable gate array is further configured to perform noise filtering on multiple electrical signal data according to the weighting coefficients of each electrical signal data, so as to obtain multiple electrical signal data after data preprocessing.

[0022] In a second aspect, this application also provides a medical imaging system, which includes a medical imaging device, a scanning bed, and a monitoring device according to any one of the first aspects above;

[0023] Medical imaging equipment is used to scan and image objects on a scanning bed;

[0024] The monitoring equipment is used to collect ambient light data and physiological light data during the imaging process of a medical imaging device on a scanned object, convert the ambient light data and physiological light data into multiple electrical signal data, process the multiple electrical signal data, and determine the imaging environment data and physiological data during the imaging process of the medical imaging device on the scanned object.

[0025] The aforementioned monitoring equipment and medical imaging system include: multiple optical sensors respectively positioned at different locations on the medical imaging equipment and at the signal acquisition sites of the scanned object; these sensors acquire ambient light data and physiological light data of the scanned object during the imaging process, and transmit the acquired data to an optical chip; the optical chip integrates multiple optical functional units, converting the ambient light and physiological light data into multiple electrical signal data, and transmitting these signals to a signal processor; the signal processor processes the electrical signal data to determine the ambient light and physiological data during the imaging process. This method, by employing an integrated design for the optical chip, highly integrates multiple optical functional units, enabling simultaneous photoelectric conversion and processing of light data acquired by multiple optical sensors. It eliminates the need for separate monitoring equipment for each type of data, significantly reducing the number of monitoring devices and increasing the amount of data monitored within a limited space. Furthermore, the integrated data acquisition of multiple optical sensors and the optical chip simplifies the operation process and reduces interference with the patient's scanning process. Furthermore, due to the magnetic compatibility of optical chip technology in medical imaging equipment, it can operate stably in strong magnetic field environments without being affected by electromagnetic interference. The high magnetic field of medical imaging equipment will not affect the data acquisition process, thus improving the accuracy of data acquisition. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1This is a schematic diagram of the monitoring device in one embodiment;

[0028] Figure 2 This is a flowchart illustrating the signal processor processing procedure in one embodiment;

[0029] Figure 3 This is a schematic diagram of the structure of a medical imaging system in one embodiment. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0031] Before providing a detailed introduction to the technical solution of this application, let me first briefly introduce the background technology of this application.

[0032] In the field of medical imaging, many medical imaging devices require monitoring equipment during the imaging process to monitor the imaging environment data and the physiological data of the scanned object.

[0033] In related technologies, each type of data requires corresponding monitoring equipment during the monitoring of data in the imaging process. Specifically, physiological data requires physiological monitoring equipment, temperature data requires temperature monitoring equipment, and vibration data requires vibration monitoring equipment.

[0034] However, due to spatial limitations, the number of monitoring devices that can be installed in medical imaging equipment is limited, resulting in a limited amount of monitoring data during the imaging process.

[0035] Furthermore, taking magnetic resonance imaging (MRI) as an example, MRI typically uses electromagnetic induction technology for imaging and monitoring, and is widely used for detailed observation of internal human structures and disease diagnosis. However, the strong magnetic fields and radio frequency pulses generated by these devices not only affect human tissues but also pose a significant challenge to surrounding electronic equipment. Physiological monitoring devices in related technologies may rely on metallic materials and electromagnetic signal transmission, making them susceptible to interference in high magnetic field environments such as MRI. Electronic equipment, including most sensors, may experience performance degradation or even failure in this environment, severely limiting the real-time monitoring capabilities of parameters of the object under test. This makes it difficult for doctors or technicians to obtain real-time information simultaneously, thus affecting the accuracy of diagnosis and the timeliness of treatment. It should be noted that, in addition to MRI, other medical imaging equipment may also generate high-intensity magnetic fields or radio frequency interference.

[0036] To address the aforementioned issues, this application provides a monitoring device and a medical imaging system. This system combines optical chips and optical sensor technology to sense the surrounding environment or target objects, such as vibration sensing, strain sensing, pressure distribution, temperature sensing, humidity sensing, human physiological signal sensing, and gas sensing. It overcomes the limitations of related technologies in imaging equipment like MRI in strong magnetic field environments, enabling stable and accurate parameter monitoring. Compared to the electronic sensors used in related technologies, this method can increase data acquisition speed by 3-5 times and achieve a resolution of 1 pm, a 20% improvement. It also increases the amount of monitoring data within a limited space. The technical solution of this application will be described in detail below.

[0037] In one exemplary embodiment, such as Figure 1 As shown, a monitoring device is provided, which includes: multiple optical sensors respectively disposed at different positions of a medical imaging device and the signal acquisition part of the scanned object. The multiple optical sensors are used to collect imaging ambient light data and physiological light data of the scanned object during the imaging process of the medical imaging device on the scanned object, and transmit the collected imaging ambient light data and physiological light data to the optical chip.

[0038] The optical chip includes multiple integrated optical functional units. The optical chip is used to convert imaging ambient light data and physiological light data into multiple electrical signal data, and transmit the multiple electrical signal data to the signal processor.

[0039] A signal processor is used to process multiple electrical signal data to determine the imaging environment data and physiological data of the medical imaging device during the imaging process of the scanned object.

[0040] Optical sensors primarily measure signal acquisition points at different locations and on the scanned object using optical principles. Optical fibers are utilized to ensure stable transmission of the optical signals. For example, optical sensors can be lenses, prisms, or gratings. Using optical fibers as the sensor or signal transmission medium ensures the safe and interference-free transmission of the optical signals acquired by the optical chip.

[0041] Specifically, changes in the wavelength, intensity, and phase of an optical signal can be detected to convert physical quantities into changes in optical signal characteristics. Optical sensors possess the ability to resist electromagnetic interference and have high sensitivity, making them suitable not only for measurements in complex electromagnetic environments but also for rapid responses to changes in the external environment. Furthermore, optical sensors can be manufactured in arbitrary shapes to adapt to different measurement needs. For example, multi-parameter integrated fiber grating arrays, using periodic stripes etched on the fiber core as the main optical sensing element, reflect narrowband light of specific wavelengths. The wavelength of the reflected light is directly related to the measured physical quantity parameter, enabling precise and accurate measurement. Through spectroscopic demodulation technology, each optical sensing element can simultaneously detect multiple data points.

[0042] Optical sensors are mainly used to collect ambient light data during the imaging process and physiological light data of the scanned object. Taking MRI equipment as an example of medical imaging equipment, the ambient light data includes data such as gradient, strain, temperature and vibration during the operation of the MRI equipment, while the physiological light data of the scanned object includes data such as pressure, body temperature and heart rate of the scanned object.

[0043] Multiple optical sensors can synchronously monitor ambient light data and physiological light data of the scanned object in real time during the imaging process, and transmit the acquired ambient light data and physiological light data to the optical chip. The optical chip converts the optical data into electrical signal data through various internal components. By utilizing the electrical signal processing of the signal processor, it can simultaneously acquire both the ambient light data and physiological data of the scanned object during the imaging process.

[0044] Multiple optical functional units within an optical chip can be integrated onto the same board, which not only significantly reduces size, lowers power consumption, and improves anti-interference capabilities, but also avoids the electromagnetic susceptibility issues of traditional discrete optical modules. For example, specific integration can be achieved through three-dimensional stacking and interconnection technology. During the integration process, silicon-based optoelectronic co-packaging technology can be used to integrate multiple optical functional units onto the same silicon substrate, or multiple optical functional units can be integrated onto the same plastic board or the same polymer board.

[0045] Optical chips are developed and integrated using silicon and silicon-based substrates (such as SiGe / Si, SOI, etc.) and CMOS technology. For example, the material of an optical chip can be a composite waveguide structure of germanium-doped silicon (SiGe) and silicon nitride (Si3N4), which can improve refractive index contrast and anti-magnetic interference capability.

[0046] For the integration of various components in an optical chip, silicon wafer technology can be used to fabricate multiple optical functional units on a silicon substrate using etching and epitaxial growth processes. These multiple optical functional units include key components such as silicon-based waveguide networks, optical switch arrays, and silicon-based optoelectronic modulators, achieving a high degree of integration among the functional units and thus reducing packaging costs. Silicon-based materials are low-cost and can be manufactured in large sizes, further reducing the cost of optical chips. Laser sources and silicon-based photodetectors can be integrated with multiple optical functional units or placed externally on the optical chip.

[0047] from Figure 1 As can be seen, the laser source, silicon-based waveguide network, optical switch array, silicon-based optoelectronic modulator, and silicon-based photodetector are all integrated on a silicon substrate. The optical sensor is connected to the silicon-based optoelectronic modulator in the optical chip, and the signal processor is connected to the silicon-based photodetector and terminal device in the optical chip, respectively.

[0048] The laser source provides light energy to the monitoring equipment, the silicon-based waveguide network serves as the transmission medium, the silicon-based optoelectronic modulator and optical switch array realize signal loading and dynamic distribution, multiple optical sensors convert physical quantities into changes in optical signals, the silicon-based photodetector and signal processor complete signal interpretation, and the terminal equipment provides the final interactive interface.

[0049] The laser source inside the optical chip is mainly used to generate a suitable and stable optical carrier, compatible with fiber optic transmission and silicon photonic device response, and output the optical carrier to the silicon-based waveguide network.

[0050] The silicon-based waveguide network inside the optical chip is mainly a passive optical transmission medium based on silicon photonics technology. Its structure is mostly low-loss curved waveguides and multimode interference couplers, which are used to guide and constrain the propagation of optical signals within the optical chip and connect components such as laser sources, silicon-based optoelectronic modulators, and silicon-based photodetectors.

[0051] Optical switch arrays, as active control elements, are mainly used to dynamically switch the transmission path of optical signals.

[0052] Silicon-based optoelectronic modulators primarily modulate optical signals (e.g., intensity, phase, wavelength, frequency, and polarization state modulation), converting sensed ambient light data and physiological light data into changes in optical signal characteristics.

[0053] Silicon-based photodetectors primarily receive modulated optical signals returned from multiple optical sensors, converting the optical signals into electrical signals for a back-end signal processor to complete photoelectric conversion and signal demodulation (such as wavelength offset extraction). Silicon-based photodetectors can employ a PIN structure (which consists of three layers of semiconductor material: a P-type layer (P), an intrinsic layer (I), and an N-type layer (N)). This structure offers high response speed, enabling rapid response to changes in optical signals and achieving high-precision photoelectric conversion.

[0054] Based on this, the monitoring equipment may also include a wireless communication module, which can transmit physiological data during the imaging process of the medical imaging device to the remote medical monitoring system to achieve remote monitoring and data management.

[0055] The aforementioned monitoring device includes: multiple optical sensors respectively positioned at different locations on the medical imaging device and at the signal acquisition sites of the scanned object. These optical sensors collect ambient light data and physiological light data of the scanned object during the imaging process, and transmit the collected ambient light and physiological light data to an optical chip. The optical chip integrates multiple optical functional units, converting the ambient light and physiological light data into multiple electrical signal data, and transmitting these electrical signal data to a signal processor. The signal processor processes the multiple electrical signal data to determine the ambient light and physiological data during the imaging process. This method, by employing an integrated design for the optical chip, highly integrates multiple optical functional units, enabling simultaneous photoelectric conversion and processing of light data collected by multiple optical sensors. It eliminates the need for separate monitoring devices for each type of data, significantly reducing the number of monitoring devices and increasing the amount of data monitored within a limited space. Furthermore, the integrated data acquisition of multiple optical sensors and the optical chip simplifies the operation process and reduces interference with the patient's scanning process during data monitoring. Furthermore, due to the magnetic compatibility of optical chip technology in medical imaging equipment, it can operate stably in strong magnetic field environments without being affected by electromagnetic interference. The high magnetic field of medical imaging equipment will not affect the data acquisition process, thus improving the accuracy of data acquisition.

[0056] Taking an optical functional unit including a silicon-based waveguide network as an example, the following is a detailed description of the silicon-based waveguide network in an optical chip through an embodiment. The silicon-based waveguide network includes multiple waveguides, and a photonic crystal isolation layer based on the photonic bandgap effect is provided between adjacent waveguides to achieve optical signal isolation.

[0057] Each waveguide is used to transmit the optical signal generated by the laser source corresponding to different data acquisition to the optical switch array in the optical chip;

[0058] An optical switch array is used to control the transmission of optical signals to multiple optical sensors by turning on the switch array.

[0059] In this embodiment, the silicon-based waveguide network is fabricated using high-purity silicon-based material and includes multiple waveguides arranged in parallel or planned paths as needed. After an optical signal enters multiple waveguides of the silicon-based waveguide network, optical signal leakage and crosstalk may occur between the multiple waveguides.

[0060] To avoid the effects of optical signal crosstalk, a photonic crystal isolation layer can be placed between each adjacent waveguide. The photonic crystal isolation layer utilizes the photonic bandgap effect to achieve optical signal isolation, effectively blocking crosstalk signals and improving channel isolation. It should be noted that the number of photonic crystal isolation layers required depends on the arrangement of the waveguides and the number of waveguides. For example, if the waveguides are arranged in a row or column, then the number of photonic crystal isolation layers should be one less than the number of waveguides.

[0061] In one embodiment, the silicon-based waveguide network is a hollowed-out curved structure or a rectangular waveguide structure, and the width and thickness of the silicon-based waveguide network are within a preset range.

[0062] If a silicon-based waveguide network is configured as a linear or curved structure, crosstalk will occur between it and adjacent channels. To avoid this crosstalk, the silicon-based waveguide network can be configured as a hollow, curved structure or a rectangular waveguide structure. This not only ensures the integrity of light during transmission, resulting in higher fidelity, but also reduces thermal coupling and magnetostrictive stress transfer between the waveguide and the substrate. For example, the width of the silicon-based waveguide network can be 500 nm and the thickness can be 300 nm, enabling single-mode transmission.

[0063] In this case, each waveguide in the silicon-based waveguide network can receive optical signals generated by the laser source corresponding to different data acquisitions, and directionally transmit these optical signals to the input end of the optical switch array.

[0064] The optical switch array adopts a high-response-speed integrated switch architecture (e.g., thermo-optic, electro-optic, or microelectromechanical switch units). According to the preset data acquisition command or real-time control signal, it controls the conduction state of the corresponding switch unit in the optical switch array, realizes the selection and path allocation of multiple optical signals, and accurately transmits the optical signals corresponding to different data to multiple matching optical sensors.

[0065] The aforementioned optical functional unit includes a silicon-based waveguide network, which comprises multiple waveguides, with photonic crystal isolation layers based on the photonic bandgap effect separating adjacent waveguides. Each waveguide transmits optical signals generated by a laser source corresponding to different data acquisitions to an optical switch array within the optical chip. The optical switch array controls the transmission of optical signals to multiple optical sensors by turning the array on. By placing photonic crystal isolation layers between adjacent waveguides in the silicon-based waveguide network, crosstalk between adjacent waveguides can be effectively blocked, ensuring that optical signals corresponding to multiple different data streams do not interfere with each other during parallel transmission. This significantly improves the signal-to-noise ratio and fidelity of optical signal transmission and avoids misjudgments in data acquisition caused by crosstalk.

[0066] In one embodiment, taking the optical functional unit as an example, the optical switch array in the optical chip is described in detail. The optical switch array includes a microring resonator, which includes a first microring resonator unit and a second microring resonator unit. The microring spacing between the first microring resonator unit and the second microring resonator unit is less than a preset distance threshold.

[0067] In this embodiment, the microring resonator of the optical switch array can be composed of a first microring resonator unit and a second microring resonator unit with symmetrical structure. The ring radius, cross-sectional size, and refractive index distribution of the two microring resonator units are consistent. It should be noted that the microring spacing between the two microring resonator units needs to be kept within a preset distance threshold. This preset distance threshold can be set based on the optical field coupling efficiency optimization results; for example, the preset distance threshold is less than or equal to 500 nm.

[0068] Understandably, a coating of magnetically compatible material (e.g., aluminum nitride (AlN) diamagnetic film) of a certain thickness can be implanted into the sidewall of the microring resonator to suppress the magnetostrictive refractive index change of silicon-based materials caused by the strong magnetic field of MRI, utilizing the low magnetic permeability of the coating. For example, the thickness of the magnetically compatible material coating can be 50 nm.

[0069] The aforementioned optical functional unit also includes an optical switch array, which comprises a microring resonator. The microring resonator includes a first microring resonant unit and a second microring resonant unit, and the microring spacing between the first and second microring resonant units is less than a preset distance threshold. The microring resonator of the optical switch array, through its dual microring structure, can decouple multiple parameters, improving adjustment efficiency. Furthermore, by limiting the microring spacing between the two microring resonant units in the optical switch array's microring resonator, the optical field coupling between the two units can be strengthened, ensuring rapid transmission and state switching of optical signals between units and reducing phase noise during transmission.

[0070] In addition to multiple optical functional units, the optical chip also includes an optical fiber assembly. The following is a detailed description of the optical fiber assembly in the optical chip through an embodiment. The optical chip also includes an optical fiber assembly, which comprises two interfaces and optical fibers. The two interfaces are respectively connected to a laser source and a silicon-based waveguide network in the optical chip, and both interfaces integrate micro / nano grating polarization compensation units.

[0071] Micro-nano grating polarization compensation unit is used to compensate for the polarization state shift of optical signals during optical fiber transmission in real time.

[0072] In this embodiment, the laser source can be coupled to a silicon-based waveguide network in an optical chip via an optical fiber, and a micro / nano grating polarization compensation unit can be integrated at the coupling interface. For example, the micro / nano grating polarization compensation unit can be formed at both interfaces using ion beam etching (IBE) technology, which can disrupt eddy current paths and reduce magnetic field induced current.

[0073] Specifically, one end of one interface in the fiber optic assembly is connected to a laser source and the other end is connected to an optical fiber; the other interface is connected to a silicon-based waveguide network and the other end is connected to an optical fiber.

[0074] The micro / nano grating polarization compensation unit can compensate for the polarization state shift of the optical signal during optical fiber transmission in real time, ensuring stable transmission of the optical signal in strong magnetic fields and strong radio frequencies. In addition, a real-time optical power feedback control mechanism can be introduced to maintain the output optical signal through closed-loop adjustment, avoiding optical signal fluctuations caused by environmental changes and ensuring that the optical signal has no polarization loss under strong magnetic fields.

[0075] The aforementioned optical chip also includes an optical fiber assembly, which comprises two interfaces and optical fibers. The two interfaces are connected to the laser source and the silicon-based waveguide network within the optical chip, respectively, and both interfaces integrate micro / nano grating polarization compensation units. These micro / nano grating polarization compensation units are used to compensate for polarization state shifts of the optical signal during optical fiber transmission in real time. By integrating micro / nano grating polarization compensation units at the interfaces between the laser source, the silicon-based waveguide network in the optical chip, and the optical fiber, it is possible to sense and dynamically correct polarization state shifts of the optical signal caused by environmental disturbances, fiber characteristics, or transmission distance during optical fiber transmission in real time, thus avoiding signal attenuation and bit errors caused by polarization distortion.

[0076] The optical chip in the above embodiment also includes an optical fiber assembly, which comprises two interfaces and optical fibers. The two interfaces are respectively connected to a laser source and a silicon-based waveguide network. Furthermore, the surface of the optical chip, the sidewalls of the micro-ring resonators in the optical switch array within the optical chip, and the surfaces of the two interfaces are all coated with a magnetically compatible material.

[0077] In this embodiment, the magnetic compatibility material coating, due to its low magnetic permeability, can suppress the magneto-induced refractive index change of silicon-based materials caused by the strong magnetic field of MRI. Therefore, the magnetic compatibility material coating can be sprayed onto the surface of the optical chip, the sidewalls of the microring resonator in the optical switch array, and the surfaces of the two interfaces. For example, the magnetic compatibility material coating can be an aluminum nitride antimagnetic film, with a coating thickness of 50 nm.

[0078] The surface of the aforementioned optical chip, the sidewalls of the micro-ring resonator in the optical switch array within the chip, and the surfaces of the two interfaces are all coated with a magnetic compatibility material. This coating not only improves antimagnetic performance but also reduces temperature interference with the optical signal, eliminating the need for additional temperature compensation devices.

[0079] The above embodiments are all related introductions to the specific contents of the optical chip. Next, the working process of the signal processor will be described through an embodiment. The signal processor integrates a programmable gate array with a parallel processing architecture.

[0080] Programmable gate arrays are used to perform data preprocessing operations on multiple electrical signal data, merge the preprocessed multiple electrical signal data in the time dimension and spatial coordinate dimension, and perform parameter mapping on the merged electrical signal data to obtain imaging environment data and physiological data of medical imaging equipment during the imaging process of the scanned object.

[0081] In this embodiment, during data acquisition using multiple optical sensors, there is a time difference between the data. To avoid interference from this time difference on the monitoring results, the programmable gate array (PGA) can perform preprocessing operations on the multiple electrical signal data after receiving them. These preprocessing operations may include signal quality assessment, sensor channel selection, adaptive filtering, dynamic adjustment, and multi-level feature extraction. Signal quality assessment refers to real-time evaluation of the signal-to-noise ratio (SNR) and average intensity of the optical sensor signals acquired by each channel. Sensor channel selection automatically selects the optimal signal channel and sensor according to a preset strategy (prioritizing the channel with the highest SNR to reduce invalid data acquisition; automatically switching to the backup channel with the strongest signal if the optimal channel fails; and using multi-channel signal weighted fusion to improve signal quality if the signal from a single sensor channel is not ideal), ensuring that the most stable signal is always used for processing, greatly enhancing the system's robustness. Adaptive filtering can employ an adaptive filter based on the improved least mean square (LMS) algorithm, which can dynamically suppress MRI radio frequency pulse noise and gradient field switching noise. Dynamic adjustment mainly involves real-time extraction of optical signals, conversion of time-domain signals to frequency-domain signals, and dynamic optimization of window length and step size to balance time resolution and frequency. Multi-level feature extraction mainly involves combining the calculated optical feature values ​​such as wavelength, phase, and intensity changes into feature vectors, which are then passed to the next stage to complete the extraction from the original signal into quantifiable physical features.

[0082] Subsequently, based on the scanning timing reference of the medical imaging equipment, the preprocessed multi-channel electrical signal data are synchronized and aligned in the time dimension. Simultaneously, combined with the preset spatial coordinate information of each optical sensor, the sensor positions are spatially correlated with the signal acquisition sites of the scanned object. A Kalman filter method is used to achieve dual data fusion in both time and space dimensions, forming merged electrical signal data. Then, through parameter mapping relationships, the merged electrical signal data is mapped to obtain the imaging environment data and physiological data of the medical imaging equipment during the imaging process of the scanned object.

[0083] In one embodiment, the programmable gate array is further configured to acquire initial imaging environment data and initial physiological data obtained by parameter mapping, perform data compensation on the initial imaging environment data and initial physiological data respectively, and use the data-compensated imaging environment data as the imaging environment data of the medical imaging device during the imaging process of the scanned object, and use the data-compensated physiological data as the physiological data of the medical imaging device during the imaging process of the scanned object.

[0084] In this embodiment of the application, during magnetic resonance scanning, errors may arise due to the scanning environment or the scanning object itself. These errors include core errors such as temperature, magnetic field, and light loss, and need to be compensated for. Therefore, after acquiring the initial imaging environment data and initial physiological data, different data compensation methods are required based on the different data.

[0085] For initial imaging environment data, programmable gate arrays (PGAs) can use a dynamic deviation correction algorithm to eliminate errors caused by equipment operating noise, sensor position offset, and instantaneous changes in ambient light, based on the preset environmental calibration benchmark values ​​of the medical imaging equipment, the system error model of the sensor acquisition link, and the real-time acquired ambient light fluctuation characteristics. This ensures the consistency between the imaging environment data and the actual scene. For example, the dynamic deviation correction algorithm can be linear compensation or piecewise calibration, and the imaging environment data can be brightness and color temperature uniformity.

[0086] For the initial physiological data, individual physiological differences of the scanned object, the transmission attenuation law of light signal in biological tissue, and motion artifact interference that may occur during the imaging process can be considered. The pre-stored personalized compensation parameter library and physiological signal attenuation correction model can be called to perform targeted compensation for heart rate, blood oxygen related light signal characteristics, tissue blood perfusion parameters, etc.

[0087] In one embodiment, the programmable gate array is further used to perform noise filtering on multiple electrical signal data according to the weight coefficients of each electrical signal data, so as to obtain multiple electrical signal data after data preprocessing.

[0088] In the embodiments of this application, the programmable gate array can dynamically adjust the weight coefficients of the signal types acquired in real time based on the feature template library of physiological signals (such as heart rate and respiration) and environmental parameters (temperature and vibration). For example, periodic physiological signals can be assigned a weight of 0.8-0.9, and random environmental noise can be assigned a weight of 0.1-0.2.

[0089] After obtaining the weight coefficients of each electrical signal data, for any electrical signal data, the programmable gate array can also calculate the product of the electrical signal data and the corresponding weight coefficient, and use the product result as the electrical signal data after data preprocessing.

[0090] In addition, programmable gate arrays can also perform fast Fourier transform on signals using sliding window technology. By setting a reasonable window length and step size, the wavelength offset of the optical signal can be extracted in real time, thereby improving the sensitivity of signal feature extraction.

[0091] Figure 2 This is a flowchart illustrating the signal processor's processing procedure. Taking a Field-Programmable Gate Array (FPGA) parallel processor architecture as an example, the process begins with the input of multiple raw signals containing noise and interference (electrical signal data corresponding to imaging ambient light data and physiological light data) to the signal preprocessing module. After signal quality assessment and automatic channel selection, the signals undergo noise suppression through adaptive filtering and dynamic demodulation algorithms to extract effective signal features, yielding characteristics such as wavelength shift Δλ, phase change Δφ, and intensity change ΔI. The FPGA parallel processing architecture then accelerates the entire process through parallel computation, performing multi-parameter fusion processing on the features. The fused data is then used for both physiological parameter mapping and modeling to achieve anomaly detection and diagnosis. Simultaneously, it is optimized through a compensation algorithm, continuously iterating with feedback calibration parameters, and finally generating and outputting monitoring data (imaging environment data and physiological data from the medical imaging device during the imaging process of the scanned object).

[0092] The aforementioned signal processor integrates a programmable gate array (PGA) with a parallel processing architecture. The PGA performs preprocessing operations on multiple electrical signal data, merges the preprocessed data in both time and spatial coordinate dimensions, and performs parameter mapping on the merged data to obtain imaging environment and physiological data during the imaging process of the medical imaging device. Using a PGA with a parallel processing architecture as the signal processor, millisecond-level signal resolution is achieved through hardware acceleration, significantly improving the signal-to-noise ratio and monitoring accuracy in high-magnetic-field and high-radio-frequency interference environments such as MRI, ensuring real-time monitoring of changes in imaging environment and physiological data during the scanning process.

[0093] In one embodiment, a medical imaging system is also provided, such as Figure 3 As shown, the medical imaging system includes a medical imaging device, a scanning bed, and the monitoring device described in the above embodiments;

[0094] Medical imaging equipment is used to scan and image objects on a scanning bed;

[0095] The monitoring equipment is used to collect ambient light data and physiological light data during the imaging process of a medical imaging device on a scanned object, convert the ambient light data and physiological light data into multiple electrical signal data, process the multiple electrical signal data, and determine the imaging environment data and physiological data during the imaging process of the medical imaging device on the scanned object.

[0096] In this embodiment, when it is necessary to image a scanned object using a medical imaging device, the object needs to be placed on a scanning bed, and the medical imaging device scans and images the object on the scanning bed. During the scanning process, a monitoring device can be controlled to continuously monitor the imaging environment data and physiological data of the scanned object.

[0097] The aforementioned medical imaging system includes a medical imaging device, a scanning bed, and a monitoring device as described in the above embodiments. The medical imaging device is used to scan and image the object on the scanning bed. The monitoring device is used to collect ambient light data and physiological light data during the imaging process, convert the ambient light data and physiological light data into multiple electrical signal data, and process these multiple electrical signal data to determine the imaging environment data and physiological data during the imaging process. By using a single monitoring device, the imaging environment data and physiological data can be collected synchronously in real time during the imaging process, eliminating the need for separate monitoring devices for each type of data. This significantly reduces the number of monitoring devices and increases the amount of data collected within a limited space.

[0098] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0099] The above embodiments are merely illustrative of several implementation methods of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A monitoring device, characterized in that The method comprises the following steps: A plurality of optical sensors are arranged at different positions of a medical imaging device and signal acquisition positions of a scanning object, respectively, and are used to collect imaging environment light data and physiological light data of the scanning object during imaging of the scanning object by the medical imaging device, and transmit the collected imaging environment light data and physiological light data to an optical chip; The optical chip comprises a plurality of integrated optical functional units, and is used to convert the imaging environment light data and the physiological light data into a plurality of electrical signal data, and transmit the plurality of electrical signal data to a signal processor; The signal processor is used to process the plurality of electrical signal data, and determine imaging environment data and physiological data during imaging of the scanning object by the medical imaging device.

2. The monitoring device of claim 1, wherein, The optical functional unit comprises a silicon-based waveguide network, the silicon-based waveguide network comprises a plurality of waveguides, and a photonic crystal isolation layer based on a photonic band gap effect is arranged between adjacent waveguides to isolate optical signals; Each waveguide is used to transmit optical signals corresponding to different data collection generated by a laser light source to an optical switch array in the optical chip; The optical switch array is used to control the transmission of the optical signals to the plurality of optical sensors by turning on the switch array.

3. The monitoring device of claim 2, wherein, The silicon-based waveguide network is a hollow curved structure or a rectangular waveguide structure, and the width and thickness of the silicon-based waveguide network are within a preset range.

4. The monitoring device according to any one of claims 1 to 3, characterized in that The optical functional unit further comprises an optical switch array, the optical switch array comprises a micro-ring resonator, the micro-ring resonator comprises a first micro-ring resonator unit and a second micro-ring resonator unit, and the micro-ring spacing between the first micro-ring resonator unit and the second micro-ring resonator unit is less than a preset distance threshold.

5. The monitoring device according to any of claims 1-3, characterized in that, The optical chip further comprises an optical fiber assembly, the optical fiber assembly comprises two interfaces and an optical fiber, the two interfaces are connected with a laser light source and a silicon-based waveguide network in the optical chip, respectively, and the two interfaces are integrated with micro-nano grating polarization compensation units; The micro-nano grating polarization compensation unit is used to compensate for the polarization state shift of the optical signal in the optical fiber transmission in real time.

6. The monitoring device according to any one of claims 1 to 3, characterized in that The surface of the optical chip, the sidewall of the micro-ring resonator of the optical switch array in the optical chip, and the surface of the two interfaces are all sprayed with a coating of a magnetically compatible material.

7. The monitoring device according to any of claims 1-3, characterized in that, The signal processor is integrated with a programmable gate array having a parallel processing architecture; The programmable gate array is used to perform data preprocessing operations on the plurality of electrical signal data, merge the preprocessed plurality of electrical signal data in time dimension and spatial coordinate dimension, and perform parameter mapping on the merged electrical signal data to obtain imaging environment data and physiological data during imaging of the scanning object by the medical imaging device.

8. The monitoring device according to claim 7, characterized in that, The programmable gate array is further configured to obtain initial imaging environment data and initial physiological data obtained by parameter mapping, perform data compensation on the initial imaging environment data and the initial physiological data respectively, and use the data-compensated imaging environment data as imaging environment data during imaging of the scanning object by the medical imaging device, and use the data-compensated physiological data as physiological data during imaging of the scanning object by the medical imaging device.

9. The monitoring device of claim 7, wherein, The programmable gate array is further configured to perform noise filtering processing on the plurality of electrical signal data according to the weight coefficients of the respective electrical signal data, to obtain the plurality of electrical signal data after data preprocessing.

10. A medical imaging system, characterized by The medical imaging system comprises a medical imaging device, a scanning bed, and the monitoring device according to any one of claims 1-9; The medical imaging device is configured to perform scanning imaging on a scanning object on the scanning bed. The monitoring device is configured to collect imaging environment light data and physiological light data during imaging of the scanning object by the medical imaging device, convert the imaging environment light data and the physiological light data into a plurality of electrical signal data, and process the plurality of electrical signal data to determine imaging environment data and physiological data during imaging of the scanning object by the medical imaging device.

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