Laser ultrasound-based tomographic imaging system

Abstract

The present invention discloses a tomographic imaging system based on laser ultrasound, which belongs to the field of biomedicine and ultrasound detection technology. The present invention obtains the boundaries of fat, muscle and organ tissue in the corresponding area of ​​the diagnosed object during the tomographic scanning by laser ultrasound technology, and obtains the activity law and activity position of the fat, muscle and organ tissue of the diagnosed object during the tomographic scanning, and uses this to combine with the tomographic image to judge whether the artifact area in the tomographic image is normal, so as to assist medical personnel in making reasonable judgments on the corresponding artifact area; the present invention can directly evaluate the possibility of artifact presentation in the corresponding area according to the complexity of tissue movement in the area represented by the detection unit, so as to timely discover the area where artifacts may occur according to the actual situation in the acquisition process of tomographic imaging, and make subsequent judgments based on this, which is conducive to medical personnel to accurately judge the artifact area in the tomographic image.

Description

Technical Field

[0001] The present invention belongs to the field of biomedicine and ultrasonic detection technology, and specifically relates to a tomographic imaging system based on laser ultrasound. Background Art

[0002] In modern clinical diagnosis, CT, ultrasound, X-ray and other methods are used to obtain tomographic images of the corresponding positions of the body of the diagnosed object, and multiple tomographic images of the corresponding positions are obtained over a period of time to comprehensively diagnose the corresponding positions of the object's body;

[0003] In the prior art, when acquiring multiple tomographic images of the body of a diagnosed object, since this operation is a continuous process that takes a certain amount of time, as time goes on, due to the autonomous movements of the diagnosed object and the uncontrollable movement of internal organs and fat in the body, the tomographic images may be missing, blurred, deformed, or overlapped, thereby interfering with the judgment of medical personnel and affecting the accuracy of the judgment results. In the prior art, the influence of artifacts can be reduced by improving the scanning efficiency, but the whole process still requires several seconds or even more than ten seconds of scanning time. During this process, the movement of fat and organs will still have a significant impact on the results of tomographic imaging. In order to solve the above problems and reduce the influence of artifacts caused by the movement of fat, organs, etc. in the body on the judgment results of medical personnel, the present invention provides the following technical solutions. Summary of the invention

[0004] The purpose of the present invention is to provide a tomographic imaging system based on laser ultrasound to solve the problem in the prior art that when performing tomographic imaging, artifacts will be generated due to the movement of fat and internal organs, and medical personnel can only make judgments based on experience and actual conditions, which is difficult, requires high professionalism, and is not conducive to making correct judgments.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] The laser ultrasound-based tomographic imaging system includes:

[0007] A laser ultrasonic detection unit, used for emitting a laser with a certain energy to the object to be diagnosed, receiving an ultrasonic signal generated by the object to be diagnosed and performing corresponding processing to obtain sampling data, and transmitting the sampling data to the first imaging unit;

[0008] a first imaging unit, which establishes an ultrasonic image according to the sampling data processed by the laser ultrasonic detection unit, and transmits the obtained ultrasonic image to the controller;

[0009] A tomographic imaging scanning unit, used for performing a tomographic imaging scanning action and transmitting corresponding imaging parameters to a second imaging unit;

[0010] a second imaging unit, which establishes a tomographic image according to the imaging parameters transmitted by the tomographic imaging scanning unit;

[0011] The working method of the above-mentioned laser ultrasound-based tomographic imaging system comprises the following steps:

[0012] S1. For imaging of a tomographic image, the time when the tomographic imaging scanning unit completes the tomographic scanning of this layer is marked as a scanning period, and the scanning start time point and the scanning end time point of the scanning period are obtained;

[0013] S2, acquiring a tomographic image of the corresponding layer through the second imaging unit, then acquiring n ultrasonic images between the scanning start time point and the scanning end time point of the corresponding layer, and transmitting the acquired n ultrasonic images to the controller in order from the earliest to the latest in acquisition time;

[0014] S3. For the first ultrasound image, the controller divides the ultrasound image into a plurality of square regions of the same area according to the voxel size, and marks each square region as a detection unit;

[0015] The detection units are marked as J1, J2, ..., Jm in sequence, where m is the number of detection units;

[0016] Marking is performed according to the different positions covered by each detection unit. The same type of tissue has the same marking, while different types of tissue have different markings.

[0017] S4, dividing the corresponding second ultrasonic image into detection units according to the method in step S3, and marking the obtained detection units corresponding to the marking rules of the detection units in the first ultrasonic image as J1, J2, ..., Jm in sequence;

[0018] Sequentially divide and mark the remaining n-2 ultrasonic images into detection units;

[0019] For the detection unit Ji, if its corresponding mark changes in n ultrasound images, then in the order of the time of ultrasound image acquisition from early to late, take the change of mark as the node, obtain k count values, k-1 is the number of nodes, and the count value represents the number of ultrasound images between two nodes, where 1≤i≤m;

[0020] The obtained count values ​​are sequentially represented as Q1, Q2, ..., Qk;

[0021] According to the formula Calculate and obtain the discrete value D of the group of data from Q1 to Qk;

[0022] Then, the artifact occurrence coefficient value W of the corresponding detection unit Ji is calculated according to the formula W=D / (k*B), where B is the number of label types corresponding to different types of tissues of the detection unit in n ultrasound images;

[0023] If the artifact occurrence coefficient value W is less than or equal to the preset value Wy, the corresponding detection unit Ji is marked as an artifact key detection unit;

[0024] S5, dividing the tomographic image into m comparison detection units according to the rules in steps S3 and S4, and marking the m comparison detection units as JD1, JD2, ..., JDm in sequence, where JDi corresponds to Ji;

[0025] Obtain the number G of control detection units covered by one of the artifact occupied areas;

[0026] Obtain the number G1 of control detection units belonging to the artifact key detection unit in the artifact occupied area;

[0027] If G1 / G is less than the preset ratio α, the corresponding artifact is marked as an abnormal artifact.

[0028] As a further solution of the present invention, the imaging parameters are necessary parameters required for imaging by a corresponding tomographic imaging method.

[0029] As a further solution of the present invention, the tomographic imaging scanning unit is a CT tomographic scanning unit, and the imaging parameters corresponding to the CT tomographic scanning include the intensity of the incident X-rays, the intensity of the X-rays penetrating the human body, and the voxels.

[0030] As a further solution of the present invention, the interval time between acquiring two adjacent ultrasound images in step S2 should be no less than 0.1 s.

[0031] As a further solution of the present invention, when marking the detection unit in step S3, when there are multiple tissues in one detection unit, the type of tissue occupying the largest area is selected as a representative for marking.

[0032] As a further solution of the present invention, for the detection unit Ji, if its corresponding mark does not change in n ultrasound images, the corresponding detection unit Ji is marked as a resident detection unit;

[0033] Obtaining the number R of control detection units covered by one of the artifact occupied areas in the tomographic image;

[0034] Further obtaining the number R1 of control detection units belonging to the resident detection units in the area occupied by the artifact;

[0035] If R1 / R is greater than or equal to the preset ratio α1, the corresponding artifact is also marked as an abnormal artifact.

[0036] Beneficial effects of the present invention:

[0037] The present invention uses laser ultrasound technology to obtain the boundaries of fat, muscle and organ tissue in the corresponding area of ​​the diagnosed object during the tomography process, and obtains the activity patterns and activity positions of the fat, muscle and organ tissue of the diagnosed object during the tomography process. This is combined with the tomography image to determine whether the artifact area in the tomography image is normal, thereby helping to assist medical personnel in making reasonable judgments on the corresponding artifact area.

[0038] The present invention segments the ultrasonic image to obtain the changes in tissue types filled in each detection unit during the acquisition of necessary parameters of the tomographic image, and obtains the complexity of tissue movement of each detection unit during this period by calculating the artifact occurrence coefficient value W. The possibility of artifact presentation in the corresponding area is evaluated according to the complexity of tissue movement in the area represented by the detection unit, so as to timely discover the area where artifacts may occur according to the actual situation in the acquisition process of tomographic imaging, and make subsequent judgments based on this, which is beneficial for medical personnel to accurately judge the artifact area in the tomographic image. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] Figure 1 It is a schematic diagram of the framework structure of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] A laser ultrasound-based tomographic imaging system, such as Figure 1 As shown, including:

[0043] A laser ultrasonic detection unit, used to emit a laser with a certain energy to the diagnosis object, receive the ultrasonic signal generated by the diagnosis object and perform corresponding processing to obtain sampling data, and transmit it to the first imaging unit;

[0044] A first imaging unit, used to establish an ultrasonic image according to the sampling data processed by the laser ultrasonic detection unit, and transmit the obtained ultrasonic image to the controller;

[0045] Ultrasound images should be able to show the boundaries of fat, muscle and organ tissue in the corresponding body parts of the diagnosed object;

[0046] Ultrasound images should be able to obtain the boundaries of fat, muscle and organ tissues in each layer being diagnosed;

[0047] A tomographic imaging scanning unit, used for performing a tomographic imaging scanning action and transmitting corresponding imaging parameters to a second imaging unit;

[0048] Imaging parameters refer to the necessary parameters required for imaging by the corresponding tomographic imaging method;

[0049] In one embodiment of the present invention, the tomographic imaging scanning unit is a CT tomographic scanning unit, and its corresponding imaging parameters include incident X-ray intensity, X-ray intensity penetrating the human body, and voxels;

[0050] A second imaging unit, used for establishing a tomographic image according to the imaging parameters transmitted by the tomographic imaging scanning unit;

[0051] The working method of the above-mentioned laser ultrasound-based tomographic imaging system comprises the following steps:

[0052] S1, taking the imaging of a tomographic image as an example, marking the time when the tomographic imaging scanning unit completes the tomographic scanning of this layer as a scanning period, setting the duration of the scanning period to t1, and obtaining the scanning start time point and scanning end time point of the scanning period;

[0053] S2, acquiring a tomographic image of the corresponding layer through the second imaging unit, then acquiring n ultrasonic images between the scanning start time point and the scanning end time point of the corresponding layer, and transmitting the acquired n ultrasonic images to the controller in order from the earliest to the latest in acquisition time;

[0054] In one embodiment of the present invention, the interval time between two adjacent ultrasound images should be no less than 0.1 s;

[0055] S3. For the first ultrasound image, the controller divides the ultrasound image into a plurality of square regions of the same area according to the voxel size, and marks one square region as a detection unit;

[0056] Each detection unit is marked as J1, J2, ..., Jm in sequence according to a certain rule, where m is the number of detection units;

[0057] Obtain the boundaries of fat, muscle and organ tissues in the ultrasound image, and mark them according to the different positions covered by each detection unit. The same type of tissue has the same mark, while different types of tissue have different marks.

[0058] The same type of tissue refers to the same organ, muscle groups in the same area, and fat groups in the same area;

[0059] When marking the detection unit, if there are multiple tissues in it, the type of tissue that occupies the largest area is selected as the representative for marking;

[0060] S4, dividing the corresponding second ultrasonic image into detection units according to the method in step S3, and marking the obtained detection units corresponding to the marking rules of the detection units in the first ultrasonic image as J1, J2, ..., Jm in sequence;

[0061] Sequentially divide and mark the remaining n-2 ultrasonic images into detection units;

[0062] For a detection unit Ji, if its corresponding mark does not change in n ultrasound images, the corresponding detection unit Ji is marked as a resident detection unit;

[0063] Where 1≤i≤m;

[0064] For the detection unit Ji, if its corresponding mark changes in n ultrasound images, then in the order of the time of ultrasound image acquisition from early to late, take the change of mark as the node, obtain k count values, k-1 is the number of nodes, and the count value represents the number of ultrasound images between two nodes;

[0065] The obtained count values ​​are sequentially represented as Q1, Q2, ..., Qk;

[0066] According to the formula Calculate and obtain the discrete value D of the group of data from Q1 to Qk;

[0067] Then, the artifact occurrence coefficient value W of the corresponding detection unit Ji is calculated according to the formula W=D / (k*B), where B is the number of label types corresponding to different types of tissues of the detection unit in n ultrasound images;

[0068] If the artifact occurrence coefficient value W is less than or equal to the preset value Wy, the corresponding detection unit Ji is marked as an artifact key detection unit;

[0069] This step obtains the changes in tissue types filled in each detection unit during the acquisition of necessary parameters of the tomographic image by segmenting the ultrasound image, and obtains the complexity of tissue movement of each detection unit during this period by calculating the artifact occurrence coefficient value W. The possibility of artifact presentation in the corresponding area is evaluated according to the complexity of tissue movement in the area represented by the detection unit, so as to timely discover the area where artifacts may occur according to the actual situation in the acquisition process of tomographic imaging, and make subsequent judgments accordingly, which is conducive to the accurate judgment of the artifact area in the tomographic image by medical personnel;

[0070] S5, dividing the tomographic image into m comparison detection units according to the rules in steps S3 and S4, and marking the m comparison detection units as JD1, JD2, ..., JDm in sequence, where JDi corresponds to Ji;

[0071] Obtain the number G of control detection units covered by one of the artifact occupied areas;

[0072] Further obtaining the number G1 of control detection units belonging to the artifact key detection unit in the artifact occupied area;

[0073] If G1 / G is less than or equal to the preset ratio α, the corresponding artifact is marked as an abnormal artifact;

[0074] Obtain the number R of control detection units covered by one of the artifact occupied areas;

[0075] Further obtaining the number R1 of control detection units belonging to the resident detection units in the area occupied by the artifact;

[0076] If R1 / R is greater than or equal to the preset ratio α1, the corresponding artifact is also marked as an abnormal artifact;

[0077] For abnormal artifacts, medical staff can make targeted further diagnostic operations or imaging judgments.

[0078] The present invention uses laser ultrasound technology to obtain the boundaries of fat, muscle and organ tissue in the corresponding area of ​​the diagnosed object during the tomographic scan, and based on this, obtains the activity patterns and activity positions of the fat, muscle and organ tissue of the diagnosed object during the tomographic scan, and combines this with the tomographic image to determine whether the artifact area in the tomographic image is normal, which is helpful to assist medical personnel in making reasonable judgments on the corresponding artifact area.

[0079] In the description of the specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0080] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

Claims

1. A tomographic imaging system based on laser ultrasound, characterized in that: include: A laser ultrasonic detection unit, used for emitting a laser with a certain energy to the object to be diagnosed, receiving an ultrasonic signal generated by the object to be diagnosed and performing corresponding processing to obtain sampling data, and transmitting the sampling data to the first imaging unit; a first imaging unit, which establishes an ultrasonic image according to the sampling data processed by the laser ultrasonic detection unit, and transmits the obtained ultrasonic image to the controller; A tomographic imaging scanning unit, used for performing a tomographic imaging scanning action and transmitting corresponding imaging parameters to a second imaging unit; a second imaging unit, which establishes a tomographic image according to the imaging parameters transmitted by the tomographic imaging scanning unit; The working method of the above-mentioned laser ultrasound-based tomographic imaging system comprises the following steps: S1. For imaging of a tomographic image, the time when the tomographic imaging scanning unit completes the tomographic scanning of this layer is marked as a scanning period, and the scanning start time point and the scanning end time point of the scanning period are obtained; S2, acquiring a tomographic image of the corresponding layer through the second imaging unit, then acquiring n ultrasonic images between the scanning start time point and the scanning end time point of the corresponding layer, and transmitting the acquired n ultrasonic images to the controller in order from the earliest to the latest in acquisition time; S3. For the first ultrasound image, the controller divides the ultrasound image into a plurality of square regions of the same area according to the voxel size, and marks each square region as a detection unit; The detection units are marked as J1, J2, ..., Jm in sequence, where m is the number of detection units; Marking is performed according to the different positions covered by each detection unit. The same type of tissue has the same marking, while different types of tissue have different markings. S4, dividing the corresponding second ultrasonic image into detection units according to the method in step S3, and marking the obtained detection units corresponding to the marking rules of the detection units in the first ultrasonic image as J1, J2, ..., Jm in sequence; Sequentially divide and mark the remaining n-2 ultrasonic images into detection units; For the detection unit Ji, if its corresponding mark changes in n ultrasound images, then in the order of the time of ultrasound image acquisition from early to late, take the change of mark as the node, obtain k count values, k-1 is the number of nodes, and the count value represents the number of ultrasound images between two nodes, where 1≤i≤m; The obtained count values ​​are sequentially represented as Q1, Q2, ..., Qk; According to the formula Calculate and obtain the discrete value D of the group of data from Q1 to Qk; Then, the artifact occurrence coefficient value W of the corresponding detection unit Ji is calculated according to the formula W=D / (k*B), where B is the number of label types corresponding to different types of tissues of the detection unit in n ultrasound images; If the artifact occurrence coefficient value W is less than or equal to the preset value Wy, the corresponding detection unit Ji is marked as an artifact key detection unit; S5, dividing the tomographic image into m comparison detection units according to the rules in steps S3 and S4, and marking the m comparison detection units as JD1, JD2, ..., JDm in sequence, where JDi corresponds to Ji; Obtain the number G of control detection units covered by one of the artifact occupied areas; Obtain the number G1 of control detection units belonging to the artifact key detection unit in the artifact occupied area; If G1 / G is less than the preset ratio α, the corresponding artifact is marked as an abnormal artifact.

2. The laser ultrasound-based tomographic imaging system according to claim 1, characterized in that: The imaging parameters are necessary parameters required for imaging by the corresponding tomographic imaging method.

3. The laser ultrasound-based tomographic imaging system according to claim 2, characterized in that: The tomographic imaging scanning unit is a CT tomographic scanning unit, and the imaging parameters corresponding to the CT tomographic scanning include the incident X-ray intensity, the X-ray intensity penetrating the human body, and the voxel.

4. The laser ultrasound-based tomographic imaging system according to claim 1, characterized in that: The interval time between acquiring two adjacent ultrasound images in step S2 should be no less than 0.1 s.

5. The laser ultrasound-based tomographic imaging system according to claim 4, characterized in that: When marking the detection unit in step S3, when there are multiple tissues in one detection unit, the type of tissue that occupies the largest area is selected as a representative for marking.

6. The laser ultrasound-based tomographic imaging system according to claim 5, characterized in that: For the detection unit Ji, if its corresponding mark does not change in n ultrasound images, the corresponding detection unit Ji is marked as a resident detection unit; Obtaining the number R of control detection units covered by one of the artifact occupied areas in the tomographic image; Further obtaining the number R1 of control detection units belonging to the resident detection units in the area occupied by the artifact; If R1 / R is greater than or equal to the preset ratio α1, the corresponding artifact is also marked as an abnormal artifact.

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