CN111157556B - Low-energy sparse CT detector, CT detection system and detection method - Google Patents

Low-energy sparse CT detector, CT detection system and detection method Download PDF

Info

Publication number
CN111157556B
CN111157556B CN201911330106.7A CN201911330106A CN111157556B CN 111157556 B CN111157556 B CN 111157556B CN 201911330106 A CN201911330106 A CN 201911330106A CN 111157556 B CN111157556 B CN 111157556B
Authority
CN
China
Prior art keywords
energy
low
detector
detectors
rows
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201911330106.7A
Other languages
Chinese (zh)
Other versions
CN111157556A (en
Inventor
徐圆飞
李保磊
孙翠丽
丁洁
温子宽
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Hangxing Machinery Manufacturing Co Ltd
Original Assignee
Beijing Hangxing Machinery Manufacturing Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Hangxing Machinery Manufacturing Co Ltd filed Critical Beijing Hangxing Machinery Manufacturing Co Ltd
Priority to CN201911330106.7A priority Critical patent/CN111157556B/en
Publication of CN111157556A publication Critical patent/CN111157556A/en
Application granted granted Critical
Publication of CN111157556B publication Critical patent/CN111157556B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
    • G01N23/02Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
    • G01N23/04Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material
    • G01N23/046Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material using tomography, e.g. computed tomography [CT]
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01TMEASUREMENT OF NUCLEAR OR X-RADIATION
    • G01T1/00Measuring X-radiation, gamma radiation, corpuscular radiation, or cosmic radiation
    • G01T1/16Measuring radiation intensity
    • G01T1/20Measuring radiation intensity with scintillation detectors
    • G01T1/2018Scintillation-photodiode combinations
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01TMEASUREMENT OF NUCLEAR OR X-RADIATION
    • G01T1/00Measuring X-radiation, gamma radiation, corpuscular radiation, or cosmic radiation
    • G01T1/29Measurement performed on radiation beams, e.g. position or section of the beam; Measurement of spatial distribution of radiation
    • G01T1/2914Measurement of spatial distribution of radiation
    • G01T1/2985In depth localisation, e.g. using positron emitters; Tomographic imaging (longitudinal and transverse section imaging; apparatus for radiation diagnosis sequentially in different planes, steroscopic radiation diagnosis)

Landscapes

  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Molecular Biology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Pulmonology (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)
  • Apparatus For Radiation Diagnosis (AREA)

Abstract

The invention discloses a low-energy sparse CT detector, a CT detection system and a detection method, belongs to the technical field of CT detection, and solves the problems that in the prior art, a CT detection device is high in cost, is not beneficial to popularization and application of equipment, and cannot ensure imaging accuracy due to cost reduction. The CT detector comprises a high-energy detector and a low-energy detector, wherein the high-energy detector and the low-energy detector are arranged back to back, and a high-energy detector is arranged below each low-energy detector; the high-energy detector and the low-energy detector are both provided with a plurality of rows, the row number of the high-energy detector is greater than that of the low-energy detector, and at least part of the low-energy detectors are distributed in a concentrated manner. According to the CT detector, part of low-energy detectors are arranged in a centralized manner, so that the cost is reduced and the imaging precision is high.

Description

Low-energy sparse CT detector, CT detection system and detection method
Technical Field
The invention belongs to the technical field of CT detection, and particularly relates to a low-energy sparse CT detector, a CT detection system and a detection method.
Background
Among X-ray-based explosive inspection technologies, X-ray computed tomography imaging (CT) technology has been highly regarded in the field of security inspection because of its own unique advantages. An eds (application Detection system) type Security inspection device uniquely certified by the Transportation Security Administration (TSA) is a CT device, and the position of the X-ray CT technology in the Security inspection field can be seen.
The X-ray CT security inspection technology is used for reconstructing CT data to obtain a tomographic image of a scanned object, and analyzing characteristic data in the tomographic image to realize identification of dangerous goods in the scanned object. In order to improve the accuracy of CT identification, a dual-energy CT imaging mode is usually adopted, and the dual-energy imaging implementation mode can be in multiple modes such as rapid switching of high energy and low energy of a radiation source, dual-source imaging, a dual-layer detector and the like, wherein the dual-layer detector mode is most commonly applied to security inspection, and is mainly divided into two modes of back-to-back and horse-riding according to the arrangement mode of high energy and low energy.
The two modes require one low-energy detector pixel to correspond to one high-energy detector pixel, so that the cost is high, and the popularization and the application of the equipment are not facilitated. Aiming at reducing the cost of the detector, the invention designs a CT detection device and a CT system with the same.
Disclosure of Invention
In view of the above analysis, the present invention aims to provide a low-energy sparse CT detector, a CT detection system and a detection method, so as to solve the problems in the prior art that a CT detection device has high cost, is not beneficial to popularization and application of equipment, reduces cost, and cannot ensure imaging accuracy.
The purpose of the invention is mainly realized by the following technical scheme:
a low-energy sparse CT detector comprises a high-energy detector and a low-energy detector, wherein the high-energy detector and the low-energy detector are arranged back to back, and a high-energy detector is arranged below each low-energy detector;
the high-energy detector and the low-energy detector are both provided with a plurality of rows, the row number of the high-energy detector is greater than that of the low-energy detector, and at least part of the low-energy detectors are distributed in a concentrated manner;
and a copper sheet is arranged between the high-energy detector and the low-energy detector and is used for filtering rays after passing through the low-energy detector.
Furthermore, a plurality of rows of low-energy detectors distributed in a concentrated manner are arranged in the middle of the plurality of rows of high-energy detectors.
Further, a few low energy detectors are arranged on both sides of the rows of high energy detectors. Illustratively, the few low energy detectors are in 2-6 rows.
Furthermore, a plurality of rows of low-energy detectors distributed in a concentrated manner are arranged on one side of the plurality of rows of high-energy detectors.
Further, a few low energy detectors are arranged on the other side of the rows of high energy detectors.
Furthermore, the thickness of the copper sheet is 0.3-1 mm.
Further, the high-energy detector and the low-energy detector each include a scintillator and a diode.
A CT detection system comprises a CT detection device, a conveyor belt, a data processing computer, a conveyor belt motor, a slip ring motor and a motion control computer;
the CT detection device comprises a ray source, a rotating disk and a CT detector.
Furthermore, the ray source and the CT detector are arranged on the rotating disk, the CT detector is connected with the data processing computer, and the conveyer belt motor and the slip ring motor are both connected with the motion control computer;
the motion control computer controls the conveyor belt motor to drive the conveyor belt to move at a constant speed, and the motion control computer controls the slip ring motor to rotate at a constant speed.
A CT detection method comprising the steps of:
the detected object is placed on the transmission belt, the transmission belt drives the detected object to enter the detection channel, and the rotating disc rotates around the transmission belt at a constant speed;
the ray source emits rays, the CT detection device receives ray photon signals from the ray source, and the data processing computer finishes the acquisition and storage of CT projection data and all data processing work;
when the low-energy detectors are all arranged in a centralized mode, the dual-energy data reconstruction fault is used for identification, and the relatively complete data reconstruction fault is used for display;
when the low-energy detectors are partially and intensively arranged, the dual-energy projection decomposition is directly carried out on the part, which is not distributed in a centralized way, of the low-energy detectors, wherein the part is provided with the high-energy detector and the low-energy detector; performing curve fitting on the low-energy data of the part which only has the high-energy detector but does not have the low-energy detector, solving the low-energy data of the part which does not have the low-energy detector according to the fitted curve, and then performing projection decomposition; and performing dual-energy image reconstruction by using the data subjected to projection decomposition to obtain the density and atomic number information of the object.
Compared with the prior art, the invention can at least realize one of the following technical effects:
1) the number of rows of the high-energy detectors is larger than that of the low-energy detectors, and at least part of the low-energy detectors are distributed in a concentrated mode. Firstly, the number of rows of low-energy detectors is reduced, so that the equipment cost can be obviously reduced. Secondly, the low-energy detectors are arranged in a centralized manner, so that the precision of dual-energy imaging can be ensured under the condition of reducing the cost. Under the condition of low-pitch scanning, partial low-energy detectors are arranged in a concentrated mode, and the row spacing is small, so that the reconstruction accuracy is high, and the windmill artifact is small. According to the invention, part of low-energy detectors are arranged in a centralized manner, so that the imaging definition of the low-energy detectors at a low pitch can be ensured.
2) In the invention, a small number of low-energy detectors can be dispersedly arranged at the part outside the concentrated distribution of the low-energy detectors, so that when the screw pitch is increased, although the range of the required projection data in the row direction is enlarged, a large part of back projection is contributed by the data of the concentrated distribution part of the low-energy detectors, and meanwhile, in order to ensure that the row direction has enough data range, the detectors at the outer side adopt larger row spacing, thereby ensuring the reconstruction accuracy to a certain extent. Compared with the uniform and sparse arrangement of the low-energy detectors, the arrangement can better give consideration to the imaging quality under low pitch and high pitch. But also reduces the cost of the detector.
3) And a copper sheet is arranged between the high-energy detector and the low-energy detector and is used for filtering rays after passing through the low-energy detector. The thickness of the copper sheet is 0.3-1mm, and the reason for setting the thickness is to be capable of distinguishing high-energy and low-energy signals as much as possible, but not to be too low.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
The drawings are only for purposes of illustrating particular embodiments and are not to be construed as limiting the invention, wherein like reference numerals are used to designate like parts throughout.
Fig. 1 a CT detection apparatus 1;
fig. 2 a CT detection device 2;
fig. 3 a CT detection device 3;
fig. 4 a CT detection device 4;
FIG. 5 a CT detection system;
FIG. 6 is a schematic diagram of low energy projection data compensation;
FIG. 7 image quality map of example 1;
FIG. 8 is an image quality map of comparative example 1;
FIG. 9 image quality map of example 2;
fig. 10 is an image quality chart of comparative example 2.
Reference numerals:
1-a low energy detector; 2-a PCB board; 3-copper sheet; 4-a high-energy detector; 10-a radiation source; 20-rotating the disc; 30-a CT detector; 40-detected object; 50-a conveyor belt; 60-conveyor belt motor; 70-a motion control computer; 80-slip ring motor; 90-data processing computer.
Detailed Description
A low-energy sparse CT detector, a CT detection system, and a detection method are described in further detail below with reference to specific embodiments, which are provided for purposes of comparison and explanation only, and the present invention is not limited thereto.
In dual energy CT imaging, the dual energy projection data used for detection identification is much less required in engineering than the projection data used for display, so the following strategy can be used to reduce the cost of the detector: the data for one energy or the combination of two energies is relatively complete, while the data for the second energy is relatively small.
A CT detector comprises a high-energy detector and a low-energy detector, wherein the high-energy detector and the low-energy detector are arranged back to back, and a high-energy detector is arranged below each low-energy detector; the high-energy detector and the low-energy detector are both provided with a plurality of rows, the row number of the high-energy detector is greater than that of the low-energy detector, and at least part of the low-energy detectors are distributed in a concentrated manner.
In the existing dual-energy CT security inspection technology, one low-energy detector pixel is required to correspond to one high-energy detector pixel, so that the cost is high, and the popularization and the application of equipment are not facilitated. In dual-energy CT security inspection applications, the amount of projection data required for identification is less than the amount of projection data required for display. Based on the method, the arrangement modes of the high-energy detector and the low-energy detector are optimized, and partial low-energy detectors are placed in a concentrated mode, so that the detection precision of dual-energy imaging can be guaranteed, the image quality of CT imaging can be guaranteed, and the cost of the detectors is reduced.
Preferably, the multiple rows of low-energy detectors distributed in a concentrated manner are arranged in the middle of the multiple rows of high-energy detectors, and the rest few low-energy detectors are arranged on two sides of the multiple rows of high-energy detectors. The multiple rows of low-energy detectors distributed in a concentrated manner can also be arranged on one side of the multiple rows of high-energy detectors, and the rest few low-energy detectors are arranged on the other side of the multiple rows of high-energy detectors.
Fig. 1-4 illustrate various embodiments of the present invention, with the row direction being from left to right. 1 is a low-energy detector, 2 is a PCB, 3 is a copper sheet, and 4 is a high-energy detector; in fig. 1, the low-energy detectors are all distributed in a concentrated manner and are located in the middle of the rows of high-energy detectors, and the low-energy detectors are not arranged on both sides of the rows of high-energy detectors. In fig. 2, the low-energy detectors are all distributed in a concentrated manner and are located at one side of the rows of high-energy detectors. In fig. 3, some of the low-energy detectors are arranged in a concentrated manner and located in the middle of the rows of high-energy detectors, and a few rows of low-energy detectors are arranged on both sides of the rows of high-energy detectors. In fig. 4, some of the low energy detectors are arranged in a concentrated manner and are located at one side of the rows of high energy detectors, while other positions have a few rows of low energy detectors.
When the low-energy detectors are all arranged in a centralized mode, the dual-energy data reconstruction fault is used for identification, and the relatively complete data reconstruction fault is used for display.
When part of the low-energy detectors are arranged in a concentrated manner, the part of the low-energy detectors which is not distributed in the concentrated manner directly carries out dual-energy projection decomposition on the part of the low-energy detectors which is not distributed in the concentrated manner; and performing curve fitting on the low-energy data of the part which only has the high-energy detector but does not have the low-energy detector, solving the low-energy data of the part which is not provided with the low-energy detector according to the fitted curve, performing dual-energy projection decomposition, and performing dual-energy image reconstruction by using the data subjected to projection decomposition to obtain the density and atomic number information of the object.
And a copper sheet is arranged between the high-energy detector and the low-energy detector and is used for filtering rays after passing through the low-energy detector. Preferably, the thickness of the copper sheet is between 0.3 and 1mm, which is set to be as thin as possible to distinguish between high and low energy signals, but not so low.
The high-energy detector and the low-energy detector are both provided with scintillators and diodes;
in order to further save cost, all high-energy detectors of the CT detector can be arranged in a clearance mode, one high-energy detector is arranged below each low-energy detector, and at least part of low-energy detectors are distributed in a concentrated mode.
A CT detection system, as shown in FIG. 5, includes a CT detection device, a conveyor belt 50, a data processing computer 90, a conveyor belt motor 60, a slip ring motor 80, and a motion control computer 70.
The CT detection apparatus includes a radiation source 10, a rotating disk 20, and a CT detector 30.
The radiation source 10 and the CT detector 30 are arranged on the rotating disk 02, the CT detector 30 is connected with the data processing computer 90, and the conveyor belt motor 60 and the slip ring motor 80 are both connected with the motion control computer 70.
The motion control computer 70 controls the conveyor belt motor 60 to drive the conveyor belt to move at a constant speed, and the motion control computer 70 controls the slip ring motor 80 to rotate at a constant speed.
A CT detection method comprising the steps of:
the detected object 40 is placed on the conveyor belt 50, the conveyor belt 50 drives the detected object 40 to enter the detection channel, and the rotating disc 20 rotates around the conveyor belt at a constant speed.
The radiation source 10 emits radiation, the CT detector 30 receives radiation photon signals from the CT radiation source 10, and the data processing computer 90 acquires and stores CT projection data and processes all data.
When the low-energy detectors are all arranged in a centralized mode, the dual-energy data reconstruction fault is used for identification, and the relatively complete data reconstruction fault is used for display.
When the low-energy detector is partially arranged in a concentrated way, the deposition energy spectrum of the rays in the low-energy crystal is SL(E) The energy spectrum of deposition in the high energy crystal after passing through the low energy crystal is SH1(E) The low-energy crystal does not pass through, the copper sheet enters the high-energy crystal, and the deposition energy spectrum in the high-energy crystal is SH2(E)。
As a specific embodiment of the present invention, the low energy detector is not centrally arranged, 4 rows of low energy detectors are provided, 7 rows of high energy detectors are provided, and L is1、L3、L5、L7For low energy projection values, H1, H2, H3, H4, H5, H6, H7 are high energy projection values.
1) For parts having both high-energy and low-energy detectors, the direct basis is on the energy spectrum SL(E) And SH1(E) And performing dual-energy projection decomposition. Namely, it is
Figure BDA0002329340450000081
2) For low energy data (L) only in the parts where the high energy detector is absent from the low energy detector1、L3、L5、L7) Performing curve fitting (spline curve fitting or polynomial curve fitting), and solving for L according to the fitted curve2、L4、L6As shown in fig. 6.
After the low energy data is obtained, the projection decomposition is performed using the following formula.
Figure BDA0002329340450000082
Solving for Ac、ApAccording to the principle of CT reconstruction, a is calculated by using a filtered back projection image reconstruction algorithmc、apTherefore, the equivalent atomic number and electron density information of the material can be calculated, so that the detection and identification of the material can be completed. a ispDenotes the photoelectric effect coefficient, acIs the Compton scattering effect coefficient, Ac、ApIs ac、apThe line of (2) integrates the projected values.
The specific principle is as follows:
in the radiation energy range below 200keV, the interaction of the radiation with matter is dominated by compton scattering and the photoelectric effect. The linear attenuation coefficient of a substance is modeled as follows
μ(E)=acfKN(E)+apfp(E) (1)
Wherein f isp(E)、fKN(E) Is a decomposition coefficient that is energy-dependent only and material-independent. And is provided with
Figure BDA0002329340450000091
Figure BDA0002329340450000092
α=E/510.975KeV,apDenotes the photoelectric effect coefficient, acIs the Compton scattering effect coefficient, ap、acIs a physical quantity which is independent of energy and only related to material, and has
Figure BDA0002329340450000093
l1、l2Is two constants, rho is the density of the material, Z is the atomic number, and A is the atomic weight; the model shows that the attenuation of a substance can be formed by the combined action of photoelectric effect and Compton scattering in a certain ray energy range. This model is generally a basis effect model.
Also corresponding to the ground effect model is a physical model of the attenuation coefficient of a substance-the ground material model. The model formula is as follows:
μ(E)=b1μ1(E)+b2μ2(E) (5)
μ1(E)、μ2(E) respectively the linear attenuation coefficients of the two base materials. b1、b2For a certain fixed substance, b for corresponding decomposition coefficients of the two base materials1、b2Are two constants. Equation (5) shows that the linear attenuation coefficient of any one substance can be formed by linearly overlapping the linear attenuation coefficients of two base materials. The two physical models of the base effect and the base material are unified, and the base material model can be deduced from the base effect model.
Recording the attenuation coefficient decomposition model according to the two attenuation coefficient decomposition models
Ac=∫acdl,Ap=∫apdl;B1=∫b1dl,B2=∫b2dl (6)
According to the BEER law under the condition of wide-spectrum rays, the method comprises
Figure BDA0002329340450000101
Figure BDA0002329340450000102
SL(E)、SH(E),PL、PHRespectively, a high-low energy system energy spectrum and a high-low energy projection. The kernel of the dual-energy CT preprocessing reconstruction algorithm based on projection decomposition is the solution of equation set (7) or equation set (8), namely, the solution A is solved according to equation (7) and equation (8)c、Ap、B1、B2This process is a projection decomposition process.
Due to Ac、Ap、B1、B2Is ac、ap、b1、b2The line integral projection value of (A) is solvedc、Ap、B1、B2Then, according to the principle of CT reconstruction, by using a filtered back projection image reconstruction algorithm, a can be calculatedc、ap、b1、b2Therefore, the equivalent atomic number and electron density information of the material can be calculated, so that the detection and identification of the material can be completed. The calculation formula is as follows:
Figure BDA0002329340450000103
ρe=K2ac (10)
K1、K2is two constants, n is 3-4.
Figure BDA0002329340450000104
ρe=b1ρe1+b2ρe2 (12)
Z in the formulae (11) and (12)1、Z2The atomic numbers of the two base materials are respectively; rhoe1、ρe2The electron densities of the two base materials are respectively.
Example 1
A CT detector is provided with 24 rows of high-energy detectors, and the center distance between the two rows of high-energy detectors is 6 mm; the detector is provided with 12 rows of low-energy detectors which are all arranged in a centralized way and are arranged in the middle of the high-energy detectors, and the center distance between the two rows of low-energy detectors is 6 mm.
Comparative example 1
A CT detector is provided with 24 rows of high-energy detectors, and the center distance between the two rows of high-energy detectors is 6 mm; the detector is provided with 12 rows of low-energy detectors which are all uniformly and sparsely arranged, the center distance between two adjacent rows of low-energy detectors is 12mm, namely every other row of high-energy detectors, and the low-energy detectors are arranged on the high-energy detectors of the adjacent rows.
Under the condition of low thread pitch, the thread pitch is set to be 0.5, the Clock model is used for simulation, the simulation result is shown in figures 7-8, and it can be seen that under the condition of low thread pitch, the reconstruction result of the scheme of the invention is obviously superior to that of the comparison scheme. In the scheme of uniformly and sparsely arranging low-energy detectors in the comparative example, the windmill artifact is serious, but the windmill artifact is weak. Compared with the scheme of uniform and sparse arrangement of the low-energy detectors, the scheme of concentrated distribution of part of the low-energy detectors is obviously better in image quality.
Example 2
A CT detector is provided with 16 rows of high-energy detectors, and the center distance between the two rows of high-energy detectors is 6 mm; the detector is provided with 10 rows of low-energy detectors, 8 rows of the low-energy detectors are arranged in a concentrated mode and are arranged in the middle of the high-energy detectors, the other two rows of the low-energy detectors are arranged on two sides of the detector, and the center distance between the two rows of the low-energy detectors and the nearest low-energy detector is 24 mm.
Comparative example 2
A CT detector is provided with 16 rows of high-energy detectors, and the center distance between the two rows of high-energy detectors is 6 mm; the detector is provided with 8 rows of low-energy detectors which are all uniformly and sparsely arranged, the center distance between the two rows of low-energy detectors is 12mm, namely every other row of high-energy detectors, and the low-energy detectors are arranged on the high-energy detectors of the adjacent rows.
Under the condition of low thread pitch, the thread pitch is set to be 0.5, the Clock model is used for simulation, the simulation result is shown in figures 9-10, and it can be seen that under the condition of low thread pitch, the reconstruction result of the scheme of the invention is obviously superior to that of the comparison scheme. In the scheme of uniformly and sparsely arranging low-energy detectors in the comparative example, the windmill artifact is serious, but the windmill artifact is weak. Compared with the scheme of uniform and sparse arrangement of the low-energy detectors, the scheme of concentrated distribution of part of the low-energy detectors is obviously better in image quality.
Example 3
A CT detector is provided with 16 rows of high-energy detectors, and the center distance between the two rows of high-energy detectors is 6 mm; the low-energy detectors are arranged in 8 rows, are arranged in a concentrated mode and are arranged at one side of the high-energy detectors.
Example 4
A CT detector is provided with 16 rows of high-energy detectors, and the center distance between the two rows of high-energy detectors is 6 mm; the detector is provided with 10 rows of low-energy detectors, wherein 8 rows of low-energy detectors are arranged in a concentrated mode and are arranged at one side of the high-energy detector, the other two rows of low-energy detectors are arranged at the other side of the detector, and the center distance between the two rows of low-energy detectors and the nearest low-energy detector is 24 mm.
Compared with projection data used for displaying, the dual-energy projection data used for detecting and identifying has fewer actual requirements in engineering, and the invention reduces the row number of the low-energy detectors and at least part of the low-energy detectors are intensively arranged, thereby reducing the cost, ensuring the imaging precision and meeting the detection requirements.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.

Claims (4)

1. The CT detector with the low energy sparsity is characterized by comprising a high-energy detector and a low-energy detector, wherein the high-energy detector and the low-energy detector are arranged back to back, and a high-energy detector is arranged below each low-energy detector;
the high-energy detector and the low-energy detector are both provided with a plurality of rows, the row number of the high-energy detector is greater than that of the low-energy detector, and part of the low-energy detectors are distributed in a concentrated manner;
a copper sheet is arranged between the high-energy detector and the low-energy detector and is used for filtering rays after passing through the low-energy detector; the thickness of the copper sheet is 0.3-1 mm;
when part of the low-energy detectors are distributed in a concentrated manner, a plurality of rows of the low-energy detectors distributed in the concentrated manner are arranged in the middle of a plurality of rows of the high-energy detectors; a few low-energy detectors are arranged on two sides of the multiple rows of high-energy detectors;
or a plurality of rows of low-energy detectors distributed in a centralized way are arranged on one side of a plurality of rows of high-energy detectors; a few low energy detectors are arranged on the other side of the rows of high energy detectors.
2. The low energy sparse CT detector of claim 1, wherein the high energy detector and the low energy detector each comprise a scintillator and a diode.
3. A CT detection system is characterized by comprising a CT detection device, a conveyor belt, a data processing computer, a conveyor belt motor, a slip ring motor and a motion control computer;
the CT detection device comprises a ray source, a rotating disk and the CT detector of claim 1 or 2;
the radiation source and the CT detector are arranged on the rotating disk, the CT detector is connected with the data processing computer, and the conveyer belt motor and the slip ring motor are both connected with the motion control computer;
the motion control computer controls the conveyor belt motor to drive the conveyor belt to move at a constant speed, and the motion control computer controls the slip ring motor to rotate at a constant speed.
4. A CT inspection method, using the CT inspection system of claim 3, comprising the steps of:
the detected object is placed on the transmission belt, the transmission belt drives the detected object to enter the detection channel, and the rotating disc rotates around the transmission belt at a constant speed;
the ray source emits rays, the CT detection device receives ray photon signals from the ray source, and the data processing computer finishes the acquisition and storage of CT projection data and all data processing work;
when the low-energy detectors are partially and intensively arranged, the parts of the low-energy detectors which are not arranged in a centralized way, namely the parts; performing curve fitting on the low-energy data of the part which only has the high-energy detector but does not have the low-energy detector, solving the low-energy data of the part which does not have the low-energy detector according to the fitted curve, and then performing projection decomposition; and performing dual-energy image reconstruction by using the data subjected to projection decomposition to obtain the density and atomic number information of the object.
CN201911330106.7A 2019-12-20 2019-12-20 Low-energy sparse CT detector, CT detection system and detection method Active CN111157556B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911330106.7A CN111157556B (en) 2019-12-20 2019-12-20 Low-energy sparse CT detector, CT detection system and detection method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911330106.7A CN111157556B (en) 2019-12-20 2019-12-20 Low-energy sparse CT detector, CT detection system and detection method

Publications (2)

Publication Number Publication Date
CN111157556A CN111157556A (en) 2020-05-15
CN111157556B true CN111157556B (en) 2020-12-25

Family

ID=70557653

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911330106.7A Active CN111157556B (en) 2019-12-20 2019-12-20 Low-energy sparse CT detector, CT detection system and detection method

Country Status (1)

Country Link
CN (1) CN111157556B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024083342A1 (en) * 2022-10-21 2024-04-25 Carl Zeiss Industrielle Messtechnik Gmbh X-ray measurement arrangement for examining test objects by means of x-ray radiation and method for examining test objects by means of x-ray radiation

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201666881U (en) * 2009-05-27 2010-12-08 清华大学 Pseudo dual energy under-sampling substance identification system
CN102590234A (en) * 2009-05-27 2012-07-18 清华大学 Dual-energy under-sampling substance identification system and method based on linear track scanning
CN105242322A (en) * 2014-06-25 2016-01-13 清华大学 Detector device, dual-energy CT system and detection method applying dual-energy CT system
CN105758873A (en) * 2015-03-04 2016-07-13 公安部第研究所 CT detection device and data processing method thereof
WO2017027547A1 (en) * 2015-08-10 2017-02-16 The Board Of Regents Of The Nevada System Of Higher Education On Behalf Of The University Of Nevada, Methods and systems for image-guided radiation therapy
CN109471185A (en) * 2018-12-17 2019-03-15 同方威视技术股份有限公司 CT system and detection device for CT system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201666881U (en) * 2009-05-27 2010-12-08 清华大学 Pseudo dual energy under-sampling substance identification system
CN102590234A (en) * 2009-05-27 2012-07-18 清华大学 Dual-energy under-sampling substance identification system and method based on linear track scanning
CN105242322A (en) * 2014-06-25 2016-01-13 清华大学 Detector device, dual-energy CT system and detection method applying dual-energy CT system
CN105758873A (en) * 2015-03-04 2016-07-13 公安部第研究所 CT detection device and data processing method thereof
WO2017027547A1 (en) * 2015-08-10 2017-02-16 The Board Of Regents Of The Nevada System Of Higher Education On Behalf Of The University Of Nevada, Methods and systems for image-guided radiation therapy
CN109471185A (en) * 2018-12-17 2019-03-15 同方威视技术股份有限公司 CT system and detection device for CT system

Also Published As

Publication number Publication date
CN111157556A (en) 2020-05-15

Similar Documents

Publication Publication Date Title
CN107356615B (en) Method and system for dual-energy X-ray CT
US9865066B2 (en) Computed tomography system for cargo and transported containers
Niu et al. Scatter correction for full‐fan volumetric CT using a stationary beam blocker in a single full scan
RU2553184C1 (en) Computed tomography scanner
US9579075B2 (en) Detector array comprising energy integrating and photon counting cells
CN102525536B (en) Stacking flat x-ray detector parts and preparation method thereof
US7706502B2 (en) Cargo container inspection system and apparatus
JP6018748B2 (en) CT imaging system
US20150199804A1 (en) Ct systems and methods thereof
US9724056B2 (en) Method and system for spectral computed tomography (CT) with inner ring geometry
US8184775B1 (en) Dynamic collimator for wide coverage and low dose cardiac CT imaging
CN111157555B (en) High-energy sparse CT detector, CT detection system and detection method
CN1635850A (en) X-ray scatter correction
CN102525535A (en) Stacked x-ray detector assembly and method of making same
CN106901767A (en) X-ray system and image rebuilding method
US20150178957A1 (en) Iterative reconstruction for spectral ct based upon combined data of full views of intensity data and sparse views of spectral data
Dong et al. Low‐dose and scatter‐free cone‐beam CT imaging using a stationary beam blocker in a single scan: phantom studies
CN110865089B (en) CT detector and CT detection system
CN104644198A (en) Imaging system for imaging an object
CN111157556B (en) Low-energy sparse CT detector, CT detection system and detection method
CN211577019U (en) High-energy sparse CT detector and CT detection system
US6920195B2 (en) Radiographic image forming apparatus and radiographic image forming method
US20150289828A1 (en) Patient table with integrated x-ray volumetric imager
CN112748133B (en) High-energy sparse CT detector, CT detection system and detection method
CN107271463B (en) CT detection device of nuclear fuel element under radiation state

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant