CN-122017933-A - Small coded aperture remote radioactive imaging system

CN122017933ACN 122017933 ACN122017933 ACN 122017933ACN-122017933-A

Abstract

The invention particularly provides a small coded aperture remote radioactive imaging system. The system comprises a coded aperture camera module, an FPGA data processing module, a digital multi-channel analysis module, a data storage module, a data transmission module, a system data acquisition and processing module and an imaging algorithm neural network, wherein the coded aperture camera module is used for forming coded data by incident gamma rays, converting gamma ray photons into original electric signals, the FPGA data processing module is used for conducting real-time parallel bottom processing on the original electric signals to obtain processed data, the digital multi-channel analysis module is used for conducting energy analysis on the processed data to form energy spectrum data, the data storage module is used for storing collected original list data, processed intermediate data and final reconstructed images and results, the data transmission module is used for data communication among all modules in the system and between the system and peripherals, and the system data acquisition and processing module is used for controlling execution sequence of all modules and running the imaging algorithm neural network to reconstruct the coded data into visualized radioactive distribution images. And the remote radioactivity of the small coded aperture is realized rapidly and accurately.

Inventors

YAN WENXUN
LIANG DAJIAN
TANG XIAOBIN
PAN SHENGLIN
GONG PIN
ZHA YANQING
WANG ZEYU
DAI DONGQING
FENG YAHUI

Assignees

南京海关工业产品检测中心
南京航空航天大学

Dates

Publication Date: 20260512
Application Date: 20260414

Claims (10)

1. The system is characterized by being arranged inside an airborne coded aperture camera and comprises a coded aperture camera module, an FPGA data processing module, a digital multi-channel analysis module, a data storage module, a data transmission module and a system data acquisition and processing module: The coded aperture camera module is used for forming coded data from incident gamma rays and converting gamma ray photons into original electric signals; The FPGA data processing module is used for carrying out real-time and parallel bottom processing on the original electric signals to obtain processed data; the digital multi-channel analysis module is used for carrying out energy analysis on the processed data to form energy spectrum data; the data storage module is used for storing the collected original list data, the processed intermediate data and the final reconstructed image and result; The data transmission module is connected with each module and used for data communication between each module in the system and between the system and the peripheral equipment; and the system data acquisition and processing module is used for controlling the execution sequence of each module and running an imaging algorithm neural network to reconstruct the coded data into a visualized radioactive distribution image.
2. The compact coded aperture tele-radiological imaging system of claim 1, wherein said coded aperture camera module includes a radiation detector therein, said coded aperture camera module: The method comprises the steps of carrying out spatial modulation on incident gamma rays through a coding pore plate to form coding data, wherein the coding data are projection patterns carrying direction information; the gamma ray photons are converted into original electrical signals by the radiation detector.
3. The compact coded aperture tele-radiological imaging system of claim 2, wherein said FPGA data processing module: And carrying out real-time and parallel bottom layer processing on all original electric signals output by the radiation detector, wherein the bottom layer processing at least comprises pulse forming, amplitude extraction, time stamping, preliminary filtering and screening to obtain processed data.
4. The compact coded aperture tele-radiological imaging system of claim 3, wherein the digital multi-channel analysis module: And carrying out energy analysis on pulse signals in the processed data output by the FPGA data processing module, wherein the energy analysis comprises classifying and counting the pulses according to the amplitude to form energy spectrum data.
5. The small coded aperture tele-radiological imaging system of claim 4, wherein said data storage module stores raw list data including at least time, energy, location.
6. The compact coded aperture tele-radiological imaging system of claim 5, wherein running said imaging algorithm neural network includes the steps of: acquiring original list data, intermediate data in processing and coded data stored in a data storage module; and carrying out mapping reconstruction through a trained imaging algorithm neural network based on the original list data, the intermediate data in the processing and the coded data to obtain a visualized radioactive distribution image.
7. The compact coded aperture tele-radiological imaging system of claim 6, wherein training said imaging algorithmic neural network includes the steps of: obtaining a plurality of groups of design parameter sets, wherein the design parameter sets at least comprise the aperture ratio, the aperture size, the aperture arrangement, the code plate thickness and the array order of the code pore plate; Performing imaging process simulation through Monte Carlo based on a plurality of groups of design parameter sets to obtain a plurality of groups of simulation data sets, wherein the simulation data sets at least comprise source item distribution data and encoded image data; Obtaining a plurality of artificial intelligence models, wherein the types of the artificial intelligence models at least comprise ResNet, GAN, CNN, BPNN, LSTM, GRU; training and testing different kinds of artificial intelligent models based on multiple groups of simulation data sets respectively to obtain multiple trained artificial intelligent models and the range of design parameter sets corresponding to each artificial intelligent model; To obtain a trained neural network of the imaging algorithm.
8. The small code aperture tele-radiological imaging system of claim 7, wherein training and testing different kinds of artificial intelligence models based on multiple sets of simulation data sets, obtaining a range of trained multiple artificial intelligence models and design parameter sets corresponding to each artificial intelligence model, includes: dividing a plurality of groups of simulation data sets into a plurality of groups of training sets and a plurality of groups of test sets according to a preset proportion; Substituting a plurality of groups of training sets into different artificial intelligent models to obtain reconstructed image data corresponding to each group of training sets; Substituting the reconstructed image data corresponding to each group of training sets into an imaging analysis model to obtain an analysis result corresponding to each group of reconstructed image data; based on a plurality of groups of analysis results, selectively obtaining a trained artificial intelligent model or optimizing the artificial intelligent model, and carrying out iterative training on the optimized artificial intelligent model again; To obtain a plurality of trained artificial intelligent models and the range of design parameter sets corresponding to each artificial intelligent model.
9. The small-scale coded aperture tele-radiological imaging system of claim 8, wherein substituting the reconstructed image data corresponding to each set of training sets into the imaging analysis model to obtain an analysis result corresponding to each set of reconstructed image data includes: carrying out Gaussian filtering denoising on the reconstructed image data through a filtering algorithm to obtain filtered reconstructed image data; performing edge recognition on the filtered reconstructed image data through an edge detection algorithm to obtain reconstructed image data after edge recognition; Performing image transformation on the reconstructed image data after edge identification through a transformation algorithm to obtain transformed reconstructed image data; Performing deletion elimination on the transformed reconstructed image data through an interpolation algorithm to obtain complete reconstructed image data; So as to obtain an analysis result corresponding to each group of reconstructed image data.
10. The compact coded aperture tele-radiological imaging system of claim 8, wherein said optimizing an artificial intelligence model basis includes: Based on the analysis result corresponding to each group of reconstructed image data, parameters of imaging field angle, spatial angle resolution, image peak signal to noise ratio, mean square error value and spatial positioning precision corresponding to each group of reconstructed image data are obtained, parameter values of different artificial intelligent models are compared, key factors which obviously influence imaging precision are determined, and the key factors are optimized.

Description

Small coded aperture remote radioactive imaging system Technical Field The invention relates to the technical field of image data processing, in particular to the technical field of radioactive imaging, and particularly provides a small coded aperture remote radioactive imaging system. Background Mineral resource trade and processing occupy important positions in the total amount of economy, make important contribution to the development of economy and bring ecological environment pollution risks. When the ecological environment department monitors mineral resource utilization activities, the ecological environment department requires to safely and efficiently finish component detection and radioactivity level monitoring of mineral raw materials, products or waste residues with a certain stacking range, the area of a mine is usually several square kilometers, and objects to be detected (such as tailing piles and mineral raw materials) may have dispersive and low-strength characteristics. The existing portable instrument not only exposes personnel to radiation risks, but also is extremely easy to miss local hot spots due to sparse sampling points. Conventionally, mine radiation monitoring mainly depends on manually carried portable monitoring instruments, and although the instruments can basically meet the primary measurement requirement of radiation dose, a series of problems are exposed in practical application, namely firstly, the area of a mine is large, manual monitoring is time-consuming and labor-consuming, the efficiency is low, the whole coverage of the whole mine is difficult to realize, secondly, the operation is carried out in a radiation environment for a long time, even if the radiation dose is low, the health of monitoring personnel is potentially threatened, and furthermore, the sensitivity of the portable monitoring instruments is limited, the subtle changes of a radiation source are difficult to capture, and the accuracy and the integrity of monitoring data are influenced. Although the above-described problem can be solved by measuring with the unmanned aerial vehicle-mounted detection apparatus, it is vulnerable to the limitation of the unmanned aerial vehicle-mounted weight. The existing radioactive imaging system is large in size, complex in operation, low in resolution, low in imaging speed and the like in the aspect of remote imaging. While the traditional coded aperture imaging equipment has high precision, in order to ensure the shielding effect and the detection efficiency, a thick lead/tungsten shielding piece and a large-area detector are generally used, so that the weight of the whole machine is often more than 10kg, and the load capacity of a far-ultra-small unmanned aerial vehicle is high. If the size of the device is simply reduced (the detection sensitivity area is reduced, and the shielding layer is thinned), the number of the collected gamma photons is greatly reduced, the signal to noise ratio (SNR) is seriously reduced, and when the traditional correlation deconvolution algorithm processes such sparse and high-noise data, serious artifacts and low-resolution problems can occur in imaging. Accordingly, there is a need in the art for a new compact coded aperture teleradiological imaging scheme to address the above-mentioned problems. Disclosure of Invention The present invention has been made to overcome the above-mentioned drawbacks, and an object of the present invention is to provide a compact coded aperture tele-radiological imaging system which solves or at least partially solves the technical problems of the prior art, such as the ubiquitous bulkiness, the complex operation, and the low resolution and the slow imaging speed of the tele-imaging system. In a first aspect, the present invention provides a small-sized coded aperture remote radioactivity imaging system, the system is disposed inside an onboard coded aperture camera, and the system includes a coded aperture camera module, an FPGA data processing module, a digital multi-channel analysis module, a data storage module, a data transmission module, and a system data acquisition and processing module: The coded aperture camera module is used for forming coded data from incident gamma rays and converting gamma ray photons into original electric signals; The FPGA data processing module is used for carrying out real-time and parallel bottom processing on the original electric signals to obtain processed data; the digital multi-channel analysis module is used for carrying out energy analysis on the processed data to form energy spectrum data; the data storage module is used for storing the collected original list data, the processed intermediate data and the final reconstructed image and result; The data transmission module is connected with each module and used for data communication between each module in the system and between the system and the peripheral equipment; and the system data acquisition and processing