345 results about "Photon counting" patented technology

The invention discloses a fluorescence lifetime imaging phase analysis method based on deep learning, a terminal and a readable storage medium, and the method comprises the steps: obtaining counting data of time-dependent single photon counting of each pixel in a measured sample image, and measuring a response function of a used instrument, inputting the convolution attenuation data and the response function into a deconvolution neural network; the deconvolution neural network outputs a deconvolution signal of each pixel according to the response function and the counting data of each pixel; and performing phase transformation according to the deconvolution signal of each pixel, and obtaining the fluorescence lifetime of each pixel. According to the method, the time migration caused by the instrument response is regarded as the convolution caused by the instrument response function, and then the neural network is adopted to carry out deconvolution on the counting data, so that the time migration caused by the response function is calibrated and corrected, a traditional phase calibration process is not needed, and accurate analysis of the service life is realized.

The invention relates to a solid-state laser radar ranging method and system based on neural network processing, and belongs to the technical field of laser radar ranging, and the method comprises the steps: obtaining a laser echo signal when laser radar detection is carried out on a surrounding target object, and obtaining a photon counting histogram based on the laser echo signal; preprocessing the photon counting histogram, and inputting the preprocessed photon counting histogram into a pre-trained neural network model to obtain a peak confidence map containing an echo peak value and a peak time offset map; on the basis of the peak confidence map and the peak time offset map, obtaining one or more echo peak values of which the confidence exceeds a predetermined threshold and time position information of the one or more echo peak values of which the confidence exceeds the predetermined threshold; and based on the time position information, the distance information with one or more target objects is determined, so that the time position information measurement accuracy of one or more echo peak values is improved, and the laser radar ranging accuracy is improved.

The invention discloses a high-speed imaging method, system and device based on an SPAD array and a time counting circuit. The method comprises the following steps: acquiring original data of a photon event to obtain an original photon counting matrix of each frame; performing statistical modeling based on the original photon counting matrix to obtain a dynamic threshold matrix; performing threshold filtering based on the dynamic threshold matrix in combination with the original photon counting matrix to obtain a sparse matrix; and performing accumulation and image reconstruction based on the multi-frame original photon counting matrix to output a final image. The high time resolution of the SPAD array and the TCSPC is combined with the BNQSA algorithm, the noise problem of high frame rate imaging under extremely low illumination is solved, the system has the characteristics of high sensitivity, real-time performance and low power consumption, and a breakthrough solution is provided for a weak light scene.

Systems and methods for performing one or more medical imaging analysis tasks on PCCT (photon-counting computed tomography) images are provided. Image acquisition parameters of a PCCT image acquisition device are determined for acquiring PCCT images. One or more PCCT images of an anatomical object of a patient acquired using the PCCT image acquisition device configured with the image acquisition parameters are received. One or more medical imaging analysis tasks analyzing the anatomical object are performed based on the one or more PCCT images using one or more machine learning based models. Results of the one or more medical imaging analysis tasks are output.

The invention discloses a photon counting CT image noise reduction method based on multi-channel 3D U-net, relates to the technical field of medical image processing, and aims to solve the problems of insufficient spatial information utilization of a traditional 2D CNN, complex calculation of a 3DCNN and poor noise reduction effect of a traditional method. According to the method, high-energy, low-energy and all-energy images obtained by photon counting CT are used as three-dimensional multi-channel input, and a matrix containing space and energy spectrum dimensions is formed after preprocessing. Multi-scale three-dimensional features are extracted through a 3D U-net encoder, deep semantic information is aggregated through a bottleneck layer, a decoder carries out deconvolution up-sampling and is fused with an encoder feature map through jump connection, and meanwhile, an attention module is embedded in the jump connection to generate an attention mask so as to strengthen key area features; a mixed loss function training network including mean square error loss and structural similarity loss is adopted, and pixel-level precision and structural retention are balanced.

The invention discloses a side slope displacement monitoring method and device based on quantum single photons and a medium, and belongs to the technical field of displacement monitoring. Rectangular light pulses are emitted periodically, echo detection is completed by using a single photon detector, a photon counting time sequence is constructed, wavelet denoising and reconstruction processing is performed on the photon counting time sequence, main peak position offset, energy change and form distortion are extracted to match multiple types of feature vectors, and feature fusion and resolving are performed through a multi-source feature fusion BP neural network. And finally outputting a high-precision slope displacement result. According to the method, the quantum single-photon detection technology is combined with the wavelet denoising and neural network fusion algorithm, noise interference is effectively suppressed, the displacement feature extraction precision is improved, and the method is suitable for high-precision and long-distance slope micro-deformation real-time monitoring.

According to the single-photon laser multispectral polarization detection method and system under underwater turbulence disturbance provided by the invention, pulse laser is emitted to a target after being scanned, and weak echoes of the pulse laser are received by a double-photon detector and a single-photon detector after being subjected to spectral filtering and spatial polarization beam splitting. A time correlation single photon counting technology is adopted, time, polarization and wavelength information of each photon is recorded synchronously, and a multi-dimensional data set is generated in combination with a scanning angle. After turbulence noise is suppressed through preprocessing, target distance information is extracted to generate a three-dimensional point cloud, and the polarization degree and the depolarization ratio of each pixel point are calculated; and finally, geometric, polarization and spectral data are fused, a high-precision three-dimensional terrain and polarization image is generated, and accurate target identification in a complex underwater environment is realized. According to the invention, a set of multi-dimensional information sensing system capable of carrying out long-distance, high-resolution and high-precision classification and identification on a target in a complex underwater environment with strong attenuation, strong noise and strong turbulence disturbance is constructed.

The invention discloses a gas leakage detection imaging device and method based on a single photon detection technology, and belongs to the technical field of gas detection and imaging. Aiming at the limitation problems of the existing gas leakage detection technology in the aspects of sensitivity, response speed, space imaging capability and anti-interference capability, nanosecond modulation control and synchronous photon counting are realized by utilizing an FPGA (Field Programmable Gate Array) through a visual gas detection imaging device combining an SPAD (Single Program Amplifier) array detector and a WMS modulation-demodulation mechanism; and the second harmonic of the absorption signal is further extracted by combining digital phase-locked amplification, so that gas leakage three-dimensional imaging with high spatial resolution, ppb-level sensitivity, strong background suppression capability and high time response is realized. The system has the advantages of high detection sensitivity, real-time imaging capability with high spatial resolution, high background light interference resistance and high signal-to-noise ratio, the demodulation method is novel, and the modular design has multi-gas compatibility and system expansibility.

The invention discloses an active and passive fusion water depth inversion method based on adaptive spectrum weighting, and the method comprises the steps: carrying out the atmospheric correction of a multispectral satellite image, extracting a target region, and removing a land region and a deepwater region; the method comprises the following steps: acquiring a seawater point cloud of a satellite-borne photon counting laser radar in a target area, extracting sea surface and seabed information, and performing refractive index correction and tide correction to obtain a reference water depth; matching each pixel in the multispectral satellite image with a reference water depth, and dividing the multispectral satellite image into a reference pixel and a to-be-measured pixel; according to the spectral value of the multispectral satellite image, the Euclidean distance between each to-be-measured pixel and all reference pixels is calculated, and the reciprocal of the distance is used as the weight of each reference pixel; and introducing a weight-to-weighted least square method, and fitting a relationship from the spectral value to the water depth for each pixel to be measured to realize water depth inversion of the pixels to be measured. The method can effectively improve the active and passive fusion water depth inversion precision when the water depth distribution is uneven and the shallow sea area environment is complex.

The invention relates to a point cloud denoising method of a photon counting laser radar and an intelligent denoising system, and belongs to the technical field of photon laser radar data processing. The technical problems that the performance of a fixed parameter denoising method is seriously unbalanced under different ground feature and complexity scenes, and high denoising rate and high signal fidelity cannot be considered at the same time are solved. Synchronously acquiring an optical image and an original photon point cloud of the target area; identifying the dominant ground feature type of the laser spot area through real-time semantic segmentation; calculating scene complexity based on the point cloud data and determining the grade of the scene complexity; querying a preset two-dimensional parameter mapping table according to the combination of the surface feature type and the scene complexity level, and dynamically obtaining an optimal denoising parameter set; and finally, the parameter set is utilized to drive adaptive denoising processing, and signal points and noise points are distinguished by calculating the local density and direction consistency of the points and constructing a two-dimensional discrimination space. The method is mainly used for real-time processing platforms such as unmanned aerial vehicles, and the point cloud denoising precision, the signal retention rate and the topographic feature fidelity are remarkably improved.

The invention relates to the technical field of security and protection monitoring, in particular to a barrier gate security and protection monitoring system based on quantum laser radar and AI vision. The method comprises the following steps: a quantum laser radar sensing unit performs three-dimensional distance measurement and imaging on vehicles in a barrier gate area by using a quantum laser radar, outputs initial target point cloud data, and performs space-time calibration on an initial point cloud data set in combination with quantum correlation characteristics and a scanning mechanism motion model to generate an anti-jitter point cloud data set; the AI visual perception unit collects a barrier scene image, identifies a vehicle bounding box by using a YOLOv8 model, and extracts a motion track of a vehicle in combination with a DeepSORT tracking algorithm; and the multi-modal data fusion unit fuses the target point cloud data subjected to space-time calibration with the recognition result based on a cross-modal attention mechanism. According to the method, the laser radar based on the quantum entanglement light source is adopted, and the quantum correlation noise base is effectively extracted through the two-photon counting matrix and quantum time / space correlation analysis.

A photon counting device includes: a plurality of pixels each including a photoelectric conversion element and an amplifier amplifying charge to which input light is converted by the photoelectric conversion element and converting the amplified charge to a voltage; an A / D converter converting a voltage output from the amplifier of each of the plurality of pixels to a digital value; a first derivation unit configured to derive a provisional value of photon number in each of the plurality of pixels based on the digital value; and a second derivation unit configured to derive a confirmed value of photon number in a target pixel based on a first probability associated with a photon number distribution and a second probability associated with reading noise.

An X-ray inspection apparatus includes a conveying unit configured to convey an article, an X-ray source configured to irradiate the article with X-rays, a detection unit configured to detect the X-rays by photon counting, a threshold value setting unit configured to set a threshold value for discriminating the X-rays, an inspection unit configured to inspect the article on the basis of the X-rays transmitted through the article, the X-rays being detected by the detection unit, and a sensitivity correction unit configured to perform sensitivity correction of the detection unit on the basis of the X-rays not transmitted through the article, the detection unit is configured to discriminate and detect the X-rays into the two or more energy regions by using the threshold value, and the sensitivity correction unit is configured to perform the sensitivity correction when the threshold value setting unit changes the threshold value.

The invention relates to the technical field of LED display, and discloses a photo-thermal crosstalk modeling and compensation method for a multi-chip LED display module, and the method comprises the steps: controlling an LED display screen to display a specific test sequence to a thermal stable state, and obtaining original hyperspectral data through a spectrum collection module; executing spectral unmixing to extract photon counting and peak wavelength of an independent channel; constructing a photo-thermal bidirectional coupling model containing a photoluminescence gain and thermal feedback attenuation competition mechanism, and performing numerical approximation by using a sequence space polynomial; solving a coefficient set containing linear, nonlinear and spatial crosstalk items by adopting a block least square method; and calculating a photo-thermal crosstalk predicted value based on the coefficient set, generating reverse compensation data and correcting the driving current. According to the invention, the problems of chromaticity drift and non-uniform brightness of the high-density LED module under different gray levels are effectively solved by quantifying a photo-thermal bidirectional competition mechanism and nonlinear characteristics of gray level response, and pixel-level fine calibration is realized.

The invention relates to the technical field of image processing and extremely weak light imaging, and particularly provides a photon counting image reconstruction method and system, and the method comprises the steps: determining a target threshold value based on the adjustment of a dynamic adjustment coefficient under different illumination or gain conditions based on an initial threshold value; counting a first photon number of a single photon signal in the background image and a second photon number of the single photon signal in the signal image based on a target threshold, and generating noise photon number statistical distribution and signal photon number statistical distribution to determine a dynamic photon number processing interval; and performing time-space joint accumulation on the pixels conforming to the dynamic photon number processing interval, generating a two-dimensional photon accumulation matrix, and converting the two-dimensional photon accumulation matrix into a gray level image to form a single group of reconstructed gray level images. According to the method, real signals can be effectively extracted, the influence of dark noise, shot noise and readout noise is suppressed, zero noise detection is realized, and finally, the dynamic range, the signal-to-noise ratio and the stability of the image are remarkably improved through single-group image reconstruction and multi-group integration processing.

The invention relates to a photon pulse sequence atlas construction method, system and device based on a photon counting method, computer equipment and a readable storage medium. The method comprises the following steps: acquiring a plurality of photon counting data of a target insulation defect based on a photon counting method, constructing a phase resolution photon counting atlas based on the photon counting data, and splicing and sorting the phase resolution photon counting atlas to obtain a corresponding photon pulse sequence; the photon amplitude of each alternating current period can be obtained based on a photon pulse sequence built by a plurality of adjacent alternating currents, distribution characteristics of photon counting data can be obtained by combining a kernel density estimation formula, and a corresponding photon pulse sequence map can be built based on the distribution characteristics of the photon counting data. Therefore, a worker can directly distinguish the types of the insulation defects through the photon pulse sequence atlas.

A medical image processing apparatus according to one embodiment includes processing circuitry. The processing circuitry acquires a plurality of pieces of energy bin data that are generated based on execution of photon counting CT scan. The processing circuitry reconstructs a plurality of energy band images based on the plurality of pieces of energy bin data. The processing circuitry generates, based on the plurality of energy band images, a three-dimensional histogram based on a plurality of pixel values and a plurality of energy bands included in the plurality of energy band images.

The invention provides a frequency domain near infrared spectrum detection device and method based on photon counting, which can be applied to the technical field of in-vivo non-invasive medical detection and diagnosis. The device comprises a photoelectric module configured to emit incident light to a to-be-measured object and generate an electric signal in response to emergent light received from the to-be-measured object, and the incident light is obtained by coupling a plurality of laser signals with different modulation frequencies; each counting module comprises multiple parallel counting channels, and first clock signals of the multiple counting channels have a first frequency and have phase differences relative to each other; the processing module is used for sampling the electric signals so as to determine a target counting channel according to the electric pulse which is responded first in the electric signals; each counting module is configured to determine a response moment of the first responded electrical pulse based on a synchronization signal synchronized with the phase of the modulation signal, and perform photon counting within a time scale corresponding to the response moment to generate a counting result.

Systems and methods are provided for increasing a quality of computed tomography (CT) images. In one embodiment, a computed tomography (CT) detector system comprises a layer of energy integrating detectors (EID) arranged below a layer of photon counting (PC) sensors with respect to an incoming x-ray, where a number of the PC sensors exceeds a number of the EID detectors; and an image processing unit configured to correct PC data using EID data, and denoise and increase a resolution of an image reconstructed from EID data and PC data using a deep learning convolutional neural network (CNN) trained on pairs of images, each pair of images including a target image reconstructed from a first signal from the layer of PC sensors, and an input image reconstructed from a second signal from the layer of EID detectors, the EID data and PC data acquired concurrently from a same patient ray path.

The invention belongs to the technical field of optical measurement, and discloses an implementation device and method of a single-photon spectrograph, and the device comprises a spectral wavelength scanning module which is used for collecting a wide-spectrum optical signal, carrying out the wave division processing, and calculating the photon counting change rate between adjacent wavelengths; wavelength stepping is dynamically adjusted according to the photon counting change rate, self-adaptive scanning of spectrum change is achieved, and a single-spectrum optical signal is output; the self-focusing detection module is used for converting the single-spectrum optical signal into a photon event through a preset array channel; in a preset time window, calculating the variance and the Shannon entropy of each photon event, and constructing a local uncertainty index; performing spectral domain self-focusing and resampling according to the local uncertainty index to obtain photon counting data; high-precision, high-stability and high-efficiency spectrum light signal detection and visual analysis are realized.

The invention discloses a laser radar chip, a test system, a point cloud generation method and a readable storage medium. The laser radar chip comprises a transmitting module, a receiving module and a point cloud data processing module. The transmitting module transmits detection laser. The receiving module receives echo laser formed by reflection of the detection laser through the target object. The receiving module comprises a receiving array and a time conversion unit, the receiving array comprises a plurality of receiving units, each receiving unit comprises a plurality of receiving devices, and the time conversion unit obtains photon count values of each receiving device at different flight time according to the flight time of photons received by each receiving device. The point cloud data processing module generates point cloud data according to the photon count values of each receiving device at different flight times, one frame of point cloud data comprises a plurality of point cloud pixels, each point cloud pixel corresponds to one receiving unit, and each point cloud pixel comprises the ranging distance and the reflectivity of the target object. According to the scheme, the dynamic range of a single point cloud pixel can be improved.

The embodiment of the present application provides a laser communication modulation method and system thereof, which can solve the technical problem of poor sensitivity of free-space laser communication under extremely low signal-to-noise ratio conditions. The method includes performing polarization-selective modulation on a coding sequence to obtain multiple groups of linearly polarized light pulses. Each group of linearly polarized light pulses is sent to different photon detectors through different channels to obtain a first photon count and a second photon count. According to the first photon count and the second photon count of all groups of linearly polarized light pulses, a log-likelihood ratio is obtained through soft decision. Then, the original information prediction value is obtained through channel decoding. In this way, polarization-selective pulse position modulation and its corresponding demodulation method can obtain better communication sensitivity and stronger resistance to background noise compared to PPM‑PC. In addition, optical signals in different polarization states carry different data respectively, and are then transmitted in sequence, with a high transmission rate.

This invention discloses a design method for a deep-sea in-situ fine-scale detection framework based on acoustic-optical remote sensing and VR technology. The main steps include: (1) studying the structure of the photon-counting lidar scanning system and the dynamic geometric relationship between the mother ship and the submersible, and constructing a calculation model for the lidar bathymetry point coordinates in the WGS84 spatial rectangular coordinate system; (2) considering the submersible's attitude, and based on the ray-tracking model and the geometric relationship between the mother ship and the submersible, constructing a calculation model for the multibeam bathymetry point coordinates in the WGS84 spatial rectangular coordinate system; (3) fusing the lidar and multibeam bathymetry points to construct a seabed topographic map; (4) proposing a development scheme and detection method for a deep-sea functional imaging spectrometer; and (5) constructing a VR environment for the deep-sea target survey area using a three-dimensional seabed topography model, rendering technology, and binocular stereo imaging technology. Through these steps, deep-sea in-situ fine-scale detection based on acoustic-optical remote sensing technology and the construction of a VR environment for the survey area can be achieved.

The application belongs to the field of spectral measurement and imaging, and specifically discloses a single-photon detection device and a rapid spectral and imaging system based on the same. According to the application, a transmission optical fiber spectrometer separates each waveband complex light according to wavelength in space, and couples the photons of different wavelengths into an optical fiber array for time delay, so that the different wavelengths are delayed to different time points and output to a single-photon detection device. The single-photon detection device converts the photons of different wavelengths arriving at the device in time sequence into electrical signals, and obtains the number of photons at different time points after amplification and signal processing, and converts the number of photons into a spectrum. Since the transmission spectrometer can provide higher diffraction efficiency, higher spectral resolution and signal strength, the single-photon detection device can provide a faster and more accurate photon discrimination and photon counting method, and compared with the prior art, the whole can measure the spectrum more quickly, and has higher spectral resolution and signal strength.

This invention relates to the field of photoelectric detection and performance monitoring technology, specifically to a real-time performance verification system for a safety light curtain based on pulse feedback. The system performs the following steps: based on the changes in the effective photon count of each pulse of the safety light curtain, the effective photon count of pulses whose decrease in effective photon count is due to transient interference is smoothed to obtain a photon transmission efficiency time series; based on the photon transmission efficiency time series, a dynamic derivative curve of the pulse edge is established, and pulses within a period where the core parameter of the dynamic derivative curve at the pulse edge continuously changes in a second-order direction towards the target direction are identified as abnormal pulses; each key time node of the abnormal pulse is determined; based on the changes in the differences between each key time node, the fault cause corresponding to the abnormal pulse is located, thus improving the accuracy of real-time performance monitoring of the safety light curtain.

The present disclosure provides a hybrid solid-state lidar with an increased signal dynamic range and a control method. The hybrid solid-state lidar includes: a laser transmitter unit, a laser receiver unit, a transmitting mirror, a receiving mirror, and a rotating polygon mirror, where the laser transmitter unit includes multiple power-and-pulse-width-adjustable vertical cavity surface emitting lasers (VCSELs); the laser receiver unit adopts a single photon avalanche diodes (SPADs) array sensor; and the laser transmitter unit performs at least one emission cycle during a single measurement. By dynamically adjusting emission parameters within a single ranging cycle, the present disclosure expands the signal dynamic range in a time coherent single photon counting (TCSPC) process, enhancing measurement precision of the lidar in both long-and short-range ranging.

Systems and methods include generation of a first image volume based on electrical signals output by energy-integrating photon detectors, input of the first image volume to a network trained to generate a simulated photon-counting CT image from an energy-integrating CT image, reception of a first simulated photon-counting CT image generated by the network in response to the input first image volume, and presentation of the first simulated photon-counting CT image on the display.

The application belongs to the technical field of photon imaging detection, and particularly relates to a photon counting imaging detection system based on a mixed anode. The system comprises a vacuum sealed tube detector composed of a window coated with a photocathode, a microchannel plate stack and a mixed anode, and a signal processing circuit. The photocathode is used for converting photons incident through the window into photoelectrons. The microchannel plate stack is used for converting the photoelectrons into electron clouds. The mixed anode comprises a strip anode and a delay line anode arranged orthogonally, and the mixed anode transmits the collected charge short pulses of each channel to the signal processing circuit. The signal processing circuit calculates the two-dimensional coordinates of the photons based on the collected charge short pulses of each channel, and then transmits the two-dimensional coordinates of the photons to a terminal for imaging display. The application provides a photon counting imaging detection system based on a cross strip-delay line mixed anode, and solves the problem that the existing position sensitive anode detector cannot simultaneously have high spatial resolution and high temporal resolution.

One embodiment is a method of deconvolving overlapping first and second pulses in a photon-counting CT scanning system, the method comprising detecting a first pulse event having a first detected level; detecting a second pulse event having a second detected level; determining an amount of time that elapses between the detected first pulse event and the detected second pulse event; and reconstructing the first pulse and the second pulse using the first and second detected levels, the duration of time between the first and second pulse events, and a known pulse shape.

The invention relates to the technical field of quantum sensing and optical instruments, and discloses integrated equipment for representing nitrogen vacancy color center quantum characteristics and sensing sensitivity, which comprises a laser module, an inverted optical microscope module, an electronic control and data acquisition module and a system software control module, the laser module realizes continuous laser beam output or pulse laser beam output through light path selection; the inverted optical microscope module receives the laser beam and collects the nitrogen vacancy color center of the sample, and selectively guides fluorescence to the confocal single photon counting branch or the analog signal detection branch through the light path selection mechanism; the electronic control and data acquisition module is responsible for driving each device and processing signals from different detection branches; and the system software control module cooperates with each module to execute quantum characteristic characterization and sensing sensitivity evaluation tasks. Through deep integration of software and hardware, dual-mode measurement is realized on a single platform, and the device has the advantages of high function integration level, compact structure, convenience in operation and high measurement efficiency.