CN113488160A - Data transmission system for medical instrument imaging - Google Patents
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Abstract
The invention discloses a data transmission system for medical instrument imaging, which has the technical scheme that: the method comprises the following steps: the system comprises an image acquisition module and an image processing module, wherein the image acquisition module comprises an irradiation unit arranged on a medical instrument, an image preprocessing unit used for preprocessing image data acquired by the irradiation unit, and an image data sending unit used for sending the preprocessed image data; the control processing module comprises an image data receiving unit, and the image data receiving unit is used for receiving the image data information which is sent by the image data sending unit and is preprocessed; the control processing module also comprises an image data arithmetic unit; through the arrangement of the mathematical model and the mathematical algorithm, the transmitted image data can be effectively ensured to be in the optimal state, the phenomena of blurring and distortion in the image data transmission process are avoided, and the fidelity performance in the image data transmission is improved.
Description
Technical Field
The invention belongs to the field of medical instrument imaging, and particularly relates to a data transmission system for medical instrument imaging.
Background
The medical apparatus refers to instruments, equipment, appliances, in-vitro diagnostic reagents and calibrators, materials and other similar or related articles which are directly or indirectly used for the human body, and comprises required computer software; the effect is mainly obtained through physical and other ways, not through pharmacological, immunological or metabolic ways, or only plays an auxiliary role though the ways are involved; for the purpose of diagnosis, prevention, monitoring, treatment, or amelioration of a disease; diagnosis, monitoring, treatment, mitigation, or functional compensation of injury; examination, replacement, regulation or support of a physiological structure or physiological process; support or maintenance of life; controlling pregnancy; the imaging medical instrument is used for shooting the human body and acquiring the image of human body pathogen information, so that a treatment scheme can be better formulated for a patient.
Reference may be made to chinese patent publication No. CN103259781B, which discloses a data transmission system based on image recognition, comprising an intranet image transmission server and a display terminal located in an internal network, and: the system comprises an image acquisition terminal and an external network image transmission server which are positioned in an external network; the intranet system submits data required to be sent to the intranet system through the intranet image transmission server, the intranet image transmission server carries out image coding on the obtained data to generate an image, and the image is sent to the display terminal and displayed; the image acquisition terminal is used for acquiring the image displayed by the display terminal and sending the acquired image to the extranet image transmission server; the external network image transmission server is used for acquiring and decoding the image to acquire data and transmitting the acquired data to the external network system.
Above-mentioned patent has under the condition of guaranteeing interior outer net isolation, can carry out safe data transmission, makes the advantage that intranet system can safely transmit data to outer net in real time, but it also has the defect, if: the method is not provided with a mathematical algorithm and a mathematical model, cannot ensure that the image data keeps the optimal state in the transmission process, and is easy to cause the phenomenon that the image data is blurred and distorted after transmission, so that the image data cannot be clearly identified.
Disclosure of Invention
The present invention is directed to a data transmission system for medical instrument imaging, which solves the above problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme:
a data transmission system for medical instrument imaging, comprising:
the system comprises an image acquisition module and an image processing module, wherein the image acquisition module comprises an irradiation unit arranged on a medical instrument, an image preprocessing unit used for preprocessing image data acquired by the irradiation unit, and an image data sending unit used for sending the preprocessed image data;
the control processing module comprises an image data receiving unit, and the image data receiving unit is used for receiving the image data information which is sent by the image data sending unit and is preprocessed;
the control processing module also comprises an image data operation unit, wherein the image data operation unit is used for analyzing and processing the image data information received by the image receiving unit, establishing a corresponding mathematical model, calculating the image data, forming different mathematical algorithms through the mathematical model, establishing the relationship among a plurality of image data to form an image data chain, and finally performing automatic visual analysis on the image data according to different mathematical algorithms to obtain the optimal image data in the plurality of image data;
and the image data receiving terminal is used for receiving and displaying the optimal image data obtained by the image data operation unit through the mathematical algorithm.
Preferably, the image obtaining module further includes a plurality of image capturing units, a buffer unit and a storage unit, the data block is divided from the frame image data output by each image capturing unit, and memory spaces corresponding to the data block are divided from the buffer unit and the storage unit, and each data block stores data of at least one pixel point.
Preferably, after the image acquisition unit outputs one frame of data, the control processing module adds block coordinates to each data block in the cache unit, uses the data and coordinates in each data block as a data set, configures a flag bit for each data block in the storage unit, and configures all flag bits in the storage unit as error flags in an initial state.
Preferably, the mathematical algorithm includes an expectation value algorithm and a particle swarm algorithm, and both the expectation value algorithm and the particle swarm algorithm are used for obtaining an optimal solution in the plurality of image data.
Preferably, the calculation formula of the expected value algorithm is as follows, and the numerical feature expected value Ex, the entropy En and the super-entropy He for obtaining the accurate information of the image are obtained by:
En＝En1W1+En2W2+……Enn Wn
in the formula: exn, Enn, Hen and Wn respectively represent the numerical characteristic expected value, entropy, super entropy and weight of the nth item of image precision information.
Preferably, the mathematical formula involved in the particle swarm algorithm includes:
Vid＝/omegaVid+C1random(0,1)/left(Pid-Xid/right)+C2random(0,1)/left(Pgd-Xid/right)
in the formula, omega is called inertia factor, C1 and C2 are called acceleration constants;
c1 ═ C2/in/left [0,4/right ], random (0,1) denotes the number in the interval/left [0,1/right ];
pid represents the d-th dimension of the individual extremum of the ith variable, and Pgd represents the d-th dimension of the solution in the present algorithm.
Preferably, the mathematical model includes an ant colony model, a spherical model and a continuous model, and the ant colony model includes:
setting a node threshold value T (n) according to two factors of residual energy of image data and information transmission distance, selecting a cluster head according to the node threshold value, clustering nodes of the wireless sensor network according to the cluster head, and generating a random number of 0 or 1 by each node:
where r is the distance from node n to sink node, rmaxRepresenting the maximum value of the distances from all the nodes to the sink node, beta representing a regulating factor, and p being the probability of becoming a cluster head in all the nodes; g is a set of nodes whose front wheels have not been selected as cluster heads, enRepresenting the current remaining energy of node n, einitRepresenting the initial energy of node n.
Preferably, the spherical model is used for scanning imaging, and the spherical model comprises: assuming that B is a target point of a spherical scanned object with a radius R, and its motion initial state is t0 being equal to 0, its position is 0, then its position changes with time:
zs is v · t, where v is the moving speed;
the relative position change is:
when Zt ═ 2R:
assuming the solution of the above equation is T1, it is
The function, representing the time required to complete a scan imaging, then yields:
preferably, the continuous model is used for calculating the X-ray attenuation, and specifically includes:
let I0The number of X-ray photons, I is the number of photons monitored after penetrating the object to be monitored;
when the object to be side is uniform: then I is equal to I0exp(-ul)；
When the object to be measured is non-uniform, x ═ x1+x2) A certain point of the measured object is represented, and the linear attenuation coefficient of the measured object to the X-ray at the point X is represented by u (X), then:
I(L)＝I0exp (- [ integral ] lu (X) dl), where L represents the length of a straight line through which X-rays pass and dl represents the integral infinitesimal of the straight line.
Preferably, the control processing module further comprises a wireless data transmitter, wherein the wireless data transmitter is embedded with a single chip microcomputer and a radio frequency chip and adopts a circular interleaving error correction and detection code;
the wireless data transmitter comprises an error correction data generating unit, a control processing module and an image data arithmetic unit, wherein the error correction data generating unit is used for generating a data list to be detected and corrected according to the error detection and correction codes and sending the data list to be detected and corrected to the control processing module for processing, and after the processing is finished, the image data are transmitted to the image data arithmetic unit for the next operation;
the image data receiving terminal also comprises a liquid crystal display used for displaying images and a standby power supply unit used for improving emergency power for the liquid crystal display.
Compared with the prior art, the invention has the beneficial effects that:
the data transmission system for medical instrument imaging comprises a plurality of image data generated by an image acquisition module, and optimal image data in the image data calculated by a mathematical model and a mathematical algorithm in a control processing module, so that the image data is always kept in an optimal state in the transmission process, and the phenomena of blurring and distortion of the image information in the transmission process are avoided.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a circuit diagram of the system of the present invention;
FIG. 3 is a second circuit diagram of the system of the present invention;
FIG. 4 is a diagram of imaging times in a spherical mathematical model of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Please refer to FIG. 1-FIG. 4
Example 1
A data transmission system for medical instrument imaging, comprising:
the image acquisition module comprises an irradiation unit arranged on the medical instrument, an image preprocessing unit used for preprocessing the image data acquired by the irradiation unit and an image data sending unit used for sending the preprocessed image data;
the control processing module comprises an image data receiving unit, and the image data receiving unit is used for receiving the image data information which is sent by the image data sending unit and is preprocessed;
the control processing module also comprises an image data operation unit, the image data operation unit is used for analyzing and processing the image data information received by the image receiving unit and establishing a corresponding mathematical model, calculating the image data, forming different mathematical algorithms through the mathematical model, establishing the relationship among a plurality of image data to form an image data chain, and finally performing automatic visual analysis on the image data according to the different mathematical algorithms to obtain the optimal image data in the plurality of image data;
and the image data receiving terminal is used for receiving and displaying the optimal image data obtained by the image data operation unit through a mathematical algorithm.
In this embodiment, preferably, the image obtaining module further includes a plurality of image capturing units, a buffer unit and a storage unit, the data block is divided from the frame image data output by each image capturing unit, and a memory space corresponding to the data block is divided from the buffer unit and the storage unit, and each data block stores data of at least one pixel point.
In this embodiment, preferably, after the image acquisition unit outputs one frame of data, the control processing module adds block coordinates to each data block in the buffer unit, and uses the data and coordinates in each data block as a data set, and each data block in the storage unit is configured with a flag bit, and all flag bits in the storage unit are configured as error flags in an initial state.
In this embodiment, preferably, the mathematical algorithm includes an expectation value algorithm and a particle swarm algorithm, and both the expectation value algorithm and the particle swarm algorithm are used to obtain an optimal solution in the plurality of image data.
In this embodiment, preferably, the calculation formula of the expected value algorithm is as follows, and the numerical feature expected value Ex, the entropy En, and the super-entropy He for obtaining the accurate information of the image are obtained:
En＝En1W1+En2W2+……Enn Wn
in the formula: exn, Enn, Hen and Wn respectively represent the numerical characteristic expected value, entropy, super entropy and weight of the nth item of image precision information.
In this embodiment, preferably, a mathematical formula related to the particle swarm algorithm includes:
Vid＝/omegaVid+C1random(0,1)/left(Pid-Xid/right)+C2random(0,1)/left(Pgd-Xid/right)
in the formula, omega is called inertia factor, C1 and C2 are called acceleration constants;
c1 ═ C2/in/left [0,4/right ], random (0,1) denotes the number in the interval/left [0,1/right ];
pid represents the d-th dimension of the individual extremum of the ith variable, and Pgd represents the d-th dimension of the solution in the present algorithm.
In this embodiment, preferably, the mathematical model includes an ant colony model, a spherical model, and a continuous model, and the ant colony model includes:
setting a node threshold value T (n) according to two factors of residual energy of image data and information transmission distance, selecting a cluster head according to the node threshold value, clustering nodes of the wireless sensor network according to the cluster head, and generating a random number of 0 or 1 by each node:
where r is the distance from node n to sink node, rmaxRepresenting the maximum value of the distances from all the nodes to the sink node, beta representing a regulating factor, and p being the probability of becoming a cluster head in all the nodes; g is a set of nodes whose front wheels have not been selected as cluster heads, enRepresenting the current remaining energy of node n, einitRepresenting the initial energy of node n.
In this embodiment, it is preferable that the spherical model is used for scanning imaging, and the spherical model includes: assuming that B is a target point of a spherical scanned object with a radius R, and its motion initial state is t0 being equal to 0, its position is 0, then its position changes with time:
zs is v · t, where v is the moving speed;
the relative position change is:
when Zt ═ 2R:
assuming the solution of the above equation is T1, it is
The function, representing the time required to complete a scan imaging, then yields:
in this embodiment, preferably, the continuous model is used for calculating the X-ray attenuation, and specifically includes:
let I0The number of X-ray photons, I is the number of photons monitored after penetrating the object to be monitored;
when the object to be side is uniform: then I is equal to I0exp(-ul)；
When the object to be measured is non-uniform, x ═ x1+x2) A certain point of the measured object is represented, and the linear attenuation coefficient of the measured object to the X-ray at the point X is represented by u (X), then:
I(L)＝I0exp (- [ integral ] lu (X) dl), where L represents the length of a straight line through which X-rays pass and dl represents the integral infinitesimal of the straight line.
In this embodiment, preferably, the control processing module further includes a wireless data transmitter, in which the single chip microcomputer and the radio frequency chip are embedded and the cyclic interleaving error correction and detection codes are adopted;
the wireless data transmitter comprises an error correction data generation unit, a control processing module and an image data operation unit, wherein the error correction data generation unit is used for generating a data list to be detected and corrected according to the error detection and correction codes, sending the data list to be detected and corrected to the control processing module for processing, and transmitting the image data to the image data operation unit for the next operation after the processing is finished;
the image data receiving terminal further includes a liquid crystal display for displaying an image and a standby power supply unit for boosting emergency power for the liquid crystal display.
The working principle and the using process of the invention are as follows:
the data transmission system for medical instrument imaging comprises a plurality of image data generated by an image acquisition module, and optimal image data in the image data calculated by a mathematical model and a mathematical algorithm in a control processing module, so that the image data is always kept in an optimal state in the transmission process, and the phenomena of blurring and distortion of the image information in the transmission process are avoided.
Example 2
A data transmission system for medical instrument imaging, comprising:
the image acquisition module comprises an irradiation unit arranged on the medical instrument, an image preprocessing unit used for preprocessing the image data acquired by the irradiation unit and an image data sending unit used for sending the preprocessed image data;
the control processing module comprises an image data receiving unit, and the image data receiving unit is used for receiving the image data information which is sent by the image data sending unit and is preprocessed;
the control processing module also comprises an image data operation unit, the image data operation unit is used for analyzing and processing the image data information received by the image receiving unit and establishing a corresponding mathematical model, calculating the image data, forming different mathematical algorithms through the mathematical model, establishing the relationship among a plurality of image data to form an image data chain, and finally performing automatic visual analysis on the image data according to the different mathematical algorithms to obtain the optimal image data in the plurality of image data;
and the image data receiving terminal is used for receiving and displaying the optimal image data obtained by the image data operation unit through a mathematical algorithm.
In this embodiment, preferably, the image obtaining module further includes a plurality of image capturing units, a buffer unit and a storage unit, the data block is divided from the frame image data output by each image capturing unit, and a memory space corresponding to the data block is divided from the buffer unit and the storage unit, and each data block stores data of at least one pixel point.
In this embodiment, preferably, after the image acquisition unit outputs one frame of data, the control processing module adds block coordinates to each data block in the buffer unit, and uses the data and coordinates in each data block as a data set, and each data block in the storage unit is configured with a flag bit, and all flag bits in the storage unit are configured as error flags in an initial state.
In this embodiment, preferably, the mathematical algorithm includes an expectation value algorithm and a particle swarm algorithm, and both the expectation value algorithm and the particle swarm algorithm are used to obtain an optimal solution in the plurality of image data.
In this embodiment, preferably, the calculation formula of the expected value algorithm is as follows, and the numerical feature expected value Ex, the entropy En, and the super-entropy He for obtaining the accurate information of the image are obtained:
En＝En1W1+En2W2+……Enn Wn
in the formula: exn, Enn, Hen and Wn respectively represent the numerical characteristic expected value, entropy, super entropy and weight of the nth item of image precision information.
In this embodiment, preferably, a mathematical formula related to the particle swarm algorithm includes:
Vid＝/omegaVid+C1random(0,1)/left(Pid-Xid/right)+C2random(0,1)/left(Pgd-Xid/right)
in the formula, omega is called inertia factor, C1 and C2 are called acceleration constants;
c1 ═ C2/in/left [0,4/right ], random (0,1) denotes the number in the interval/left [0,1/right ];
pid represents the d-th dimension of the individual extremum of the ith variable, and Pgd represents the d-th dimension of the solution in the present algorithm.
In this embodiment, preferably, the mathematical model includes an ant colony model, and the ant colony model includes:
setting a node threshold value T (n) according to two factors of residual energy of image data and information transmission distance, selecting a cluster head according to the node threshold value, clustering nodes of the wireless sensor network according to the cluster head, and generating a random number of 0 or 1 by each node:
where r is the distance from node n to sink node, rmaxRepresenting the maximum value of the distances from all the nodes to the sink node, beta representing a regulating factor, and p being the probability of becoming a cluster head in all the nodes; g is a set of nodes whose front wheels have not been selected as cluster heads, enRepresenting the current remaining energy of node n, einitRepresenting the initial energy of node n.
In this embodiment, preferably, the control processing module further includes a wireless data transmitter, and the wireless data transmitter is embedded with the single chip microcomputer and the radio frequency chip and adopts a circular interleaving error correction and detection code.
Example 3
A data transmission system for medical instrument imaging, comprising:
the image acquisition module comprises an irradiation unit arranged on the medical instrument, an image preprocessing unit used for preprocessing the image data acquired by the irradiation unit and an image data sending unit used for sending the preprocessed image data;
the control processing module comprises an image data receiving unit, and the image data receiving unit is used for receiving the image data information which is sent by the image data sending unit and is preprocessed;
the control processing module also comprises an image data operation unit, the image data operation unit is used for analyzing and processing the image data information received by the image receiving unit and establishing a corresponding mathematical model, calculating the image data, forming different mathematical algorithms through the mathematical model, establishing the relationship among a plurality of image data to form an image data chain, and finally performing automatic visual analysis on the image data according to the different mathematical algorithms to obtain the optimal image data in the plurality of image data;
and the image data receiving terminal is used for receiving and displaying the optimal image data obtained by the image data operation unit through a mathematical algorithm.
In this embodiment, preferably, the mathematical algorithm includes an expectation value algorithm and a particle swarm algorithm, and both the expectation value algorithm and the particle swarm algorithm are used to obtain an optimal solution in the plurality of image data.
In this embodiment, preferably, the calculation formula of the expected value algorithm is as follows, and the numerical feature expected value Ex, the entropy En, and the super-entropy He for obtaining the accurate information of the image are obtained:
En＝En1W1+En2W2+……Enn Wn
in the formula: exn, Enn, Hen and Wn respectively represent the numerical characteristic expected value, entropy, super entropy and weight of the nth item of image precision information.
In this embodiment, preferably, a mathematical formula related to the particle swarm algorithm includes:
Vid＝/omegaVid+C1random(0,1)/left(Pid-Xid/right)+C2random(0,1)/left(Pgd-Xid/right)
in the formula, omega is called inertia factor, C1 and C2 are called acceleration constants;
c1 ═ C2/in/left [0,4/right ], random (0,1) denotes the number in the interval/left [0,1/right ];
pid represents the d-th dimension of the individual extremum of the ith variable, and Pgd represents the d-th dimension of the solution in the present algorithm.
In this embodiment, preferably, the mathematical model includes an ant colony model, and the ant colony model includes:
setting a node threshold value T (n) according to two factors of residual energy of image data and information transmission distance, selecting a cluster head according to the node threshold value, clustering nodes of the wireless sensor network according to the cluster head, and generating a random number of 0 or 1 by each node:
where r is from node n to the sink nodeDistance of points, rmaxRepresenting the maximum value of the distances from all the nodes to the sink node, beta representing a regulating factor, and p being the probability of becoming a cluster head in all the nodes; g is a set of nodes whose front wheels have not been selected as cluster heads, enRepresenting the current remaining energy of node n, einitRepresenting the initial energy of node n.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A data transmission system for medical instrument imaging, comprising:
the system comprises an image acquisition module and an image processing module, wherein the image acquisition module comprises an irradiation unit arranged on a medical instrument, an image preprocessing unit used for preprocessing image data acquired by the irradiation unit, and an image data sending unit used for sending the preprocessed image data;
the control processing module comprises an image data receiving unit, and the image data receiving unit is used for receiving the image data information which is sent by the image data sending unit and is preprocessed;
the control processing module also comprises an image data operation unit, wherein the image data operation unit is used for analyzing and processing the image data information received by the image receiving unit, establishing a corresponding mathematical model, calculating the image data, forming different mathematical algorithms through the mathematical model, establishing the relationship among a plurality of image data to form an image data chain, and finally performing automatic visual analysis on the image data according to different mathematical algorithms to obtain the optimal image data in the plurality of image data;
and the image data receiving terminal is used for receiving and displaying the optimal image data obtained by the image data operation unit through the mathematical algorithm.
2. The system of claim 1, wherein the data transmission system comprises: the image acquisition module further comprises a plurality of image acquisition units, a cache unit and a storage unit, a data block is divided for the frame image data output by each image acquisition unit, a memory space corresponding to the data block is divided in the cache unit and the storage unit, and each data block at least stores data of one pixel point.
3. The system of claim 2, wherein the data transmission system comprises: after the image acquisition unit outputs frame data, the control processing module adds block coordinates to each data block in the cache unit, takes the data and the coordinates in each data block as a data set, configures a flag bit for each data block in the storage unit, and configures all flag bits in the storage unit as error flags in an initial state.
4. The system of claim 1, wherein the data transmission system comprises: the mathematical algorithm comprises an expectation value algorithm and a particle swarm algorithm, and the expectation value algorithm and the particle swarm algorithm are both used for obtaining the optimal solution in the image data.
5. The system of claim 4, wherein the data transmission system comprises: the calculation formula of the expected value algorithm is as follows, and the numerical feature expected values Ex, entropy En and super entropy He for obtaining the accurate information of the image are as follows:
En＝En1W1+En2W2+……Enn Wn
in the formula: exn, Enn, Hen and Wn respectively represent the numerical characteristic expected value, entropy, super entropy and weight of the nth item of image precision information.
6. The system of claim 4, wherein the data transmission system comprises: the mathematical formula related to the particle swarm optimization comprises the following steps:
Vid＝/omegaVid+C1random(0,1)/left(Pid-Xid/right)+C2random(0,1)/left(Pgd-Xid/right)
in the formula, omega is called inertia factor, C1 and C2 are called acceleration constants;
c1 ═ C2/in/left [0,4/right ], random (0,1) denotes the number in the interval/left [0,1/right ];
pid represents the d-th dimension of the individual extremum of the ith variable, and Pgd represents the d-th dimension of the solution in the present algorithm.
7. The system of claim 1, wherein the data transmission system comprises: the mathematical model includes an ant colony model, a spherical model, and a continuous model, the ant colony model includes:
setting a node threshold value T (n) according to two factors of residual energy of image data and information transmission distance, selecting a cluster head according to the node threshold value, clustering nodes of the wireless sensor network according to the cluster head, and generating a random number of 0 or 1 by each node:
where r is the distance from node n to sink node, rmaxRepresenting the maximum value of the distances from all the nodes to the sink node, beta representing a regulating factor, and p being the probability of becoming a cluster head in all the nodes; g is a set of nodes whose front wheels have not been selected as cluster heads, enRepresenting the current remaining energy of node n, einitRepresenting the initial energy of node n.
8. The system of claim 7, wherein the data transmission system comprises: the spherical model is used for scanning imaging, and comprises: assuming that B is a target point of a spherical scanned object with a radius R, and its motion initial state is t0 being equal to 0, its position is 0, then its position changes with time:
zs is v · t, where v is the moving speed;
the relative position change is:
when Zt ═ 2R:
assuming the solution of the above equation is T1, it is
The function, representing the time required to complete a scan imaging, then yields:
9. the system of claim 7, wherein the data transmission system comprises: the continuous model is used for calculating the attenuation of the X-ray, and specifically comprises the following steps:
let I0The number of X-ray photons, I is the number of photons monitored after penetrating the object to be monitored;
when the object to be side is uniform: then I is equal to I0exp(-ul)；
When the object to be measured is non-uniform, x ═ x1+x2) A certain point of the measured object is represented, and the linear attenuation coefficient of the measured object to the X-ray at the point X is represented by u (X), then:
I(L)＝I0exp (- [ integral ] lu (X) dl), where L represents the length of a straight line through which X-rays pass and dl represents the integral infinitesimal of the straight line.
10. The system of claim 1, wherein the data transmission system comprises: the control processing module also comprises a wireless data transmitter, wherein the wireless data transmitter is embedded with a singlechip and a radio frequency chip and adopts a circular interleaving error correction and detection code;
the wireless data transmitter comprises an error correction data generating unit, a control processing module and an image data arithmetic unit, wherein the error correction data generating unit is used for generating a data list to be detected and corrected according to the error detection and correction codes and sending the data list to be detected and corrected to the control processing module for processing, and after the processing is finished, the image data are transmitted to the image data arithmetic unit for the next operation;
the image data receiving terminal also comprises a liquid crystal display used for displaying images and a standby power supply unit used for improving emergency power for the liquid crystal display.
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