CN111493908A - Medical image scanning method, apparatus, computer device and storage medium - Google Patents
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Abstract
The present application relates to a medical image scanning method, apparatus, computer device and storage medium, wherein the medical image scanning method comprises: acquiring medical image data information, the medical image data information comprising at least one first medical scan image; establishing a mapping relation between image quality parameters and diagnosis and treatment process parameters according to the medical image data information; acquiring body parameters of a scanning object; acquiring medical system parameters according to the body parameters and the mapping relation; and performing medical scanning and image reconstruction on the scanned object according to the medical system parameters to acquire a second medical scanning image. The medical system parameters suitable for the body parameters of the scanned object are searched through the mapping relation between the pre-established image quality parameters and the diagnosis and treatment process parameters, the medical system parameters are used for scanning and reconstructing, high-quality medical images can be obtained, and further the image quality can be kept uniform.
Description
Technical Field
The present application relates to the field of medical imaging, and in particular, to a medical image scanning method, apparatus, computer device, and storage medium.
Background
The PET/CT is a medical imaging device organically combining PET and CT, uses the same examining table and shares one image workstation, and has the imaging capability of both the PET device and the CT device and the functions of fusing the PET image and the CT image and the like. The PET/CT imaging system can observe biological characteristics of tissues such as biochemical metabolism and the like from a molecular level in a noninvasive, dynamic and quantitative manner, can perform non-destructive in-vivo observation on the structures and functions of certain tissues of a living body through molecular images, and has extremely important significance for the research on early diagnosis and treatment of diseases, the research and development of preclinical medicines, physiology, genomics and the like.
The imaging quality of PET/CT is the key for the application of the PET/CT system in early diagnosis and the like, for the PET/CT system with normal and stable running state, the image quality is mainly determined by the unit injection medicine dose of a scanning object, the physical characteristics of the injected radiopharmaceutical, a specific scanning protocol, the physiological and metabolic states of a patient, the decay time before scanning, scanning parameters including the overlapping size of multiple beds, the scanning time and image reconstruction parameters and the like, and all the factors influence each other and influence the image quality in an intricate and complicated way.
Disclosure of Invention
Embodiments of the present application provide a medical image scanning method, apparatus, computer device, and storage medium, to at least solve the problem in the related art that a desired image quality cannot be obtained.
In a first aspect, an embodiment of the present application provides a medical image scanning method, where the method includes: acquiring medical image data information, the medical image data information comprising at least one first medical scan image; establishing a mapping relation between image quality parameters and diagnosis and treatment process parameters according to the medical image data information; acquiring body parameters of a scanning object; acquiring medical system parameters according to the body parameters and the mapping relation; and performing medical scanning and image reconstruction on the scanned object according to the medical system parameters to acquire a second medical scanning image.
In one embodiment, the medical procedure parameters at least include medical system parameters and scanning object body parameters, and the medical system parameters include medical system scanning parameters and medical system reconstruction parameters.
In one embodiment, the image quality parameter includes at least one of image noise, liver region noise, and an equivalent noise count rate.
In one embodiment, the acquiring medical image data information comprises: moving the scanning object to the center of the visual field of the medical scanning system, acquiring scanning data within a certain time, and reconstructing the first medical scanning image according to the scanning data.
In one embodiment, the acquiring medical image data information comprises: establishing a medical image database, and acquiring medical image information from the medical image database.
In one embodiment, obtaining medical system parameters according to the body parameters and the mapping relationship comprises: acquiring a liver region noise threshold; and acquiring scanning time and the overlapping size among multiple beds according to the liver region noise threshold, the body parameters and the mapping relation.
In one embodiment, the method further comprises: acquiring an image quality parameter of a second medical scanning image; adjusting a medical system reconstruction parameter according to the image quality parameter of the second medical scan image.
In one embodiment, the method further comprises: acquiring an image quality parameter of a second medical scanning image; and determining the number of scanning sequences according to the image quality parameter of the second medical scanning image.
In one embodiment, the determining the number of scan sequences according to the image quality parameter of the second medical scan image comprises: acquiring an image quality parameter threshold; and if the image quality parameter of the second medical scanning image is smaller than the image quality parameter threshold, increasing the number of scanning sequences and acquiring at least one group of medical scanning data.
In one embodiment, the increasing the number of scan sequences after acquiring the at least one set of medical scan data comprises: and reconstructing a third medical scanning image according to the at least one group of medical scanning data and the scanning data corresponding to the second medical scanning image.
In a second aspect, an embodiment of the present application provides a medical image scanning apparatus, including: an image data information acquisition module for acquiring medical image data information, the medical image data information comprising at least one first medical scan image; the mapping relation establishing module is used for establishing a mapping relation between image quality parameters and diagnosis and treatment process parameters according to the first medical scanning image; the body parameter acquisition module is used for acquiring body parameters of a scanning object; the system parameter calculation module is used for acquiring medical system parameters according to the body parameters and the mapping relation; and the image generation module is used for carrying out medical scanning and image reconstruction on the scanned object according to the medical system parameters to acquire a second medical scanning image.
In a third aspect, the present application provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the computer program, implements the medical image scanning method as described in any one of the above.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the medical image scanning method as described in any one of the above.
Compared with the related art, the medical image scanning method provided by the embodiment of the application obtains the data information of the medical image, establishes the mapping relation between the image quality parameter and the diagnosis and treatment process parameter according to the first medical scanning image, obtains the body parameter of the scanned object, searches the medical system parameter in the mapping relation through the body parameter, and finally carries out medical scanning and image reconstruction through the medical system parameter to obtain the second medical scanning image. The medical system parameters suitable for the body parameters of the scanned object are searched through the mapping relation between the pre-established image quality parameters and the diagnosis and treatment process parameters, the medical system parameters are used for scanning and reconstructing, high-quality medical images can be obtained, and further the image quality can be kept uniform.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic flow chart diagram of a medical image scanning method in one embodiment;
FIG. 2 is a schematic flow chart illustrating a method for adjusting reconstruction parameters of a medical system according to one embodiment;
FIG. 3 is a flow diagram illustrating a method for supplemental scanning of a medical image according to an embodiment;
FIG. 4 is a block diagram of a medical image scanning apparatus according to an embodiment;
fig. 5 is a schematic hardware configuration diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.
It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" as referred to herein means two or more. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. Reference herein to the terms "first," "second," "third," and the like, are merely to distinguish similar objects and do not denote a particular ordering for the objects.
Positron Emission Tomography (PET) is a relatively advanced clinical examination imaging technique in the field of nuclear medicine. It is to take certain substances, generally necessary in the metabolism of biological life, such as: glucose, protein, nucleic acid, fatty acid, short-lived radionuclides (such as 18F, 11C, etc.) labeled with a label, when injected into a human body, the radionuclides release positrons during decay, and a positron travels from a few tenths of a millimeter to a few millimeters and encounters an electron to be annihilated, thereby generating a pair of photons with energy of 511KeV in opposite directions. This is a pair of photons captured by a highly sensitive camera and corrected for scatter and random information by a computer. By carrying out the same analysis processing on different positrons, a three-dimensional image of the aggregation condition in a living body can be obtained, thereby achieving the purpose of diagnosis.
A Computed Tomography (CT) apparatus typically includes a gantry, a couch, and a console for operation by a physician. One side of the frame is provided with a bulb tube, and the side opposite to the bulb tube is provided with a detector. The console is a computer device for controlling the bulb and the detector to scan. The computer equipment is also used for receiving the data acquired by the detector, processing and reconstructing the data and finally forming a CT image. When CT is used for scanning, a patient lies on a scanning bed, the scanning bed sends the patient into the aperture of the rack, the console controls the rack to rotate at a high speed, the bulb tube arranged on the rack emits X rays, the X rays penetrate through the patient and are received by the detector to form data, the data are transmitted to the computer equipment, and the computer equipment performs primary processing on the data and image reconstruction to obtain a CT image.
PET/CT is known as positron emission tomography/X-ray computed tomography, and is a new type of imaging equipment that organically combines two advanced imaging technologies, PET (functional metabolic imaging) and CT (anatomical imaging). The PET imaging method is used for displaying physiological metabolism functions of main organs of a human body, and the CT technology is used for accurately positioning the nuclide distribution conditions, so that the machine has the advantages of both PET and CT and exerts the respective maximum advantages.
The medical image scanning method can be applied to any nuclear medicine imaging system, for example, a long-axial nuclear medicine imaging system, a short-axial nuclear medicine imaging system, PET/CT, and PET/MRI, and the following embodiments are exemplified by applying to PET/CT.
The embodiment also provides a medical image scanning method. Fig. 1 is a schematic flow chart of a medical image scanning method according to an embodiment, as shown in fig. 1, the flow chart includes the following steps:
step S102, medical image data information is acquired.
Specifically, the medical image data information includes at least one first medical scanning image, the medical image data information may be stored in an image database by presetting the image database, and at least one first medical scanning image is acquired from the image database as needed; at least one first medical scan image of the scan object may also be acquired in real time by the PTE/CT system.
In one embodiment, a medical image database is established from which medical image information is obtained. An image database is constructed, clinical patient images and raw data with quality approved by hospital doctors can be collected and obtained respectively for PTE/CT systems of all models, and the corresponding clinical patient images and raw data are stored. Because the PTE/CT system has various models, when data are acquired aiming at the PTE/CT system with the same model, the data can be collected in the same hospital, and also can be collected in different hospitals respectively, so that the diversity of the data is ensured.
In one embodiment, at least one first medical scanning image of a scanning object is acquired in real time through a PTE/CT system, the scanning object is moved to the center of a visual field of the medical scanning system, scanning data in a certain time is acquired, and the first medical scanning image is reconstructed according to the scanning data. Firstly, the liver region of a scanned object is moved to the center of an axial visual field of a PTE/CT system in a mode of automatic bed identification or manual operation of the PTE/CT system, and then at least one first medical scanning image is acquired by short-time scanning. The acquired first medical scanning image can be stored and acquired as required; the first medical scanning image scanned by the PTE/CT system can also be directly acquired. The short-time scanning may be performed for 10s or 15s, which is not limited in this embodiment.
And step S104, establishing a mapping relation between image quality parameters and diagnosis and treatment process parameters according to the medical image data information.
Specifically, the image quality parameter includes at least one of image noise, liver region noise, and an equivalent noise count rate. The diagnosis and treatment process parameters at least comprise medical system parameters and scanned object body parameters, and the medical system parameters comprise medical system scanning parameters and medical system reconstruction parameters. More specifically, the medical image data information comprises at least one first medical scan image, and based on the previously acquired first medical scan images, an image quality parameter of each first medical scan image is acquired, respectively, that is, at least one of image noise, liver region noise, equivalent noise count, or equivalent noise count rate of the corresponding image is acquired. Wherein, the equivalent noise count is the number of events received by the PET when the noise influence is considered; the equivalent noise count rate is the number of events received by the PET per unit time taking into account the effects of noise. Then acquiring medical system scanning parameters during scanning and medical system reconstruction parameters during reconstruction corresponding to each first medical scanning image, wherein the medical system scanning parameters can comprise the number of beds, the scanning time of each bed and the overlapping size of each bed; the medical system reconstruction parameters include a reconstruction matrix, iteration number, and filter parameters. Finally, a body parameter of the scanned object is analyzed from each of the first medical scan images, wherein the body parameter includes height, weight, surface area, Body Mass Index (BMI), and lean body mass. Wherein the weight is the weight of the scanning object containing fat, and the lean body mass is the weight of the scanning object not containing fat. After the image quality parameter, the medical system scanning parameter, the medical system reconstruction parameter and the scanning object body parameter are obtained, the corresponding relation among the image quality parameter, the medical system scanning parameter, the medical system reconstruction parameter and the scanning object body parameter is established according to each image.
And step S106, acquiring the body parameters of the scanning object.
Specifically, before a formal scan is performed on a scan object, first, the body parameters of the scan object, that is, the height, weight, surface area, Body Mass Index (BMI), lean body mass, and the like of the scan object, need to be acquired. The body parameters of the scanning object can be input by an operator, or the body image of the scanning object can be acquired by the camera equipment and then analyzed to be automatically obtained. Preferably, the body image of the scanning object can be input into the trained deep learning model to obtain the body parameters of the scanning object.
And S108, acquiring medical system parameters according to the body parameters and the mapping relation.
Specifically, based on the obtained body parameters of the scanning object, the medical system parameters corresponding to the body parameters are searched for through the body parameters in the established mapping relationship, that is, corresponding medical system scanning parameters and medical system reconstruction parameters are searched for. In actual clinical patient PET/CT scanning, the mapping relation is searched through the body parameters (height, weight, surface area, Body Mass Index (BMI), lean body mass and the like) of the patient, and the number of beds of the corresponding scanning, the scanning time of each bed and the overlapping size between each bed are obtained as the scanning parameters of the medical system. More specifically, for a scan subject with a range of unit dose injections and rest times, the mapping relationship includes a Body Mass Index (BMI) fit, liver region noise, the amount of overlap between each bed during a multi-bed scan, the scan time for each bed, and medical system reconstruction parameters. Therefore, for the patients in subsequent scanning, the scanning time of each bed, the overlapping size between beds and the reconstruction parameters can be recommended according to the Body Mass Index (BMI) of the patient and the corresponding fitted mapping relation under the condition of keeping the noise level consistent. The fitting mapping relationship can be linear or other mathematical fitting, and can also be an interpolation mode.
In one embodiment, the overlap between each bed is set according to the body parameter weight search mapping relation. For example, the overlap size between each bed of 80kg or less is set to 35%; the overlap between each bed above 80kg is set to 40%.
In one embodiment, a deep learning model is trained according to image quality parameters, medical system scanning parameters, medical system reconstruction parameters and scanning object body parameters acquired from a first medical scanning image, and the scanning object body parameters are input into the deep learning model after training to obtain medical system parameters, that is, data such as the number of beds of corresponding scanning, scanning time of each bed, overlap size between each bed, medical system reconstruction parameters and the like are obtained.
In one embodiment, obtaining medical system parameters according to the body parameters and the mapping relationship comprises: acquiring a liver region noise threshold; and acquiring scanning time and the overlapping size among multiple beds according to the liver region noise threshold, the body parameters and the mapping relation. More specifically, a liver noise threshold approved by the clinician is counted, wherein the liver noise threshold may be a liver region noise threshold or a liver region equivalent noise count threshold. And searching a mapping relation according to the liver region noise threshold and the body parameters of the scanning object to obtain the acquisition time required by each bed and the overlapping size among the beds if the liver region noise threshold is reached.
Step S110, medical scanning and image reconstruction are carried out on the scanned object according to the medical system parameters, and a second medical scanning image is obtained.
Specifically, medical scanning is performed according to medical system scanning parameters obtained by searching the mapping relation, and image reconstruction is performed on original data obtained by scanning according to medical system reconstruction parameters obtained by searching the mapping relation, so that a second medical scanning image is obtained. More specifically, the scanning object is scanned according to the obtained number of beds, the scanning time of each bed and the overlapping size of each bed, and image reconstruction is performed through medical system reconstruction parameters to obtain a second medical scanning image.
According to the medical image scanning method, the medical image data information is firstly obtained, the mapping relation between the image quality parameter and the diagnosis and treatment process parameter is established according to the first medical scanning image, then the body parameter of the scanned object is obtained, the medical system parameter is searched in the mapping relation through the body parameter, and finally the medical scanning and image reconstruction are carried out through the medical system parameter, so that the second medical scanning image is obtained. The medical system parameters suitable for the body parameters of the scanned object are searched through the mapping relation between the pre-established image quality parameters and the diagnosis and treatment process parameters, the medical system parameters are used for scanning and reconstructing, high-quality medical images can be obtained, and further the image quality can be kept uniform.
In one embodiment, a medical system reconstruction parameter adjusting method is also provided. Fig. 2 is a schematic flow chart of an embodiment of a method for adjusting a reconstruction parameter of a medical system, as shown in fig. 2, the flow chart includes the following steps:
step S202, acquiring image quality parameters of the second medical scanning image.
Specifically, a medical scanning image is acquired, wherein the medical scanning image may be a second medical scanning image obtained by the medical image scanning method, or a medical image obtained by any one scanning. The embodiment is not particularly limited. After the medical image is acquired, analyzing an image quality parameter of the medical image, wherein the image quality parameter comprises at least one of image noise, liver region noise, equivalent noise count or equivalent noise count rate of the image.
Step S204, adjusting the reconstruction parameters of the medical system according to the image quality parameters of the second medical scanning image.
In particular, medical system reconstruction parameters are optimized in accordance with image quality parameters of the second medical scan image. I.e. the reconstruction matrix, the number of iterations and the filter parameters are adjusted according to the image quality parameters. And then, carrying out image reconstruction on the obtained original data through the adjusted medical system reconstruction parameters to obtain a medical image with higher quality. More specifically, an image quality parameter threshold is obtained, the image quality parameter is compared with the image quality parameter threshold, and the reconstruction parameter of the medical system is adjusted according to the comparison result. Preferably, an equivalent noise count threshold is arranged in the PET/CT system, the equivalent noise count of the obtained medical image is compared with the equivalent noise count threshold, and if the equivalent noise count is smaller than the equivalent noise count threshold, the reconstruction parameters of the medical system are optimized to reduce the reconstruction matrix and the iteration times; and if the equivalent noise count is larger than the equivalent noise count threshold value, optimizing the reconstruction parameters of the medical system into increasing the reconstruction matrix and increasing the iteration times.
In the actual clinical scanning process of the PET/CT system, the scanning mode from head to foot or from foot to head is usually adopted, and the actually used scanning time is not necessarily accurate for the radiopharmaceuticals with short half-lives or for the radiopharmaceuticals which are not commonly used. Therefore, it is necessary to optimize the reconstruction parameters of the medical system through the scanned image, so as to obtain a medical image with better image quality. According to the medical system reconstruction parameter adjusting method, the obtained medical scanning image is analyzed, and the data quality of the liver region, such as equivalent noise count or equivalent noise count rate, is obtained. And optimizing reconstruction parameters such as the size of a reconstruction matrix, the number of iterations and post filtering parameters according to the obtained data quality. And reconstructing the original data again according to the optimized reconstruction parameters to obtain a higher-quality image.
In one embodiment, a method for supplementary scanning of a medical image is also provided. Fig. 3 is a schematic flow chart of a supplementary scanning method for medical images according to an embodiment, as shown in fig. 3, the flow chart includes the following steps:
step S302, acquiring image quality parameters of the second medical scanning image.
Specifically, a medical scanning image is acquired, wherein the medical scanning image is a second medical scanning image obtained by the medical image scanning method, and may also be a medical image obtained by any scanning. The embodiment is not particularly limited. After the medical image is acquired, analyzing an image quality parameter of the medical image, wherein the image quality parameter comprises at least one of image noise, liver region noise, equivalent noise count or equivalent noise count rate of the image.
Step S304, determining the number of scanning sequences according to the image quality parameter of the second medical scanning image.
Specifically, an image quality parameter threshold is obtained; and if the image quality parameter of the second medical scanning image is smaller than the image quality parameter threshold, increasing the number of scanning sequences and acquiring at least one group of medical scanning data. And reconstructing a third medical scanning image according to the at least one group of medical scanning data and the scanning data corresponding to the second medical scanning image. The acquired image quality parameter threshold value is the minimum value of image quality parameters acceptable by hospitals. The image quality parameter threshold may correspond to at least one of an image noise threshold, a liver region noise threshold, an equivalent noise count threshold, or an equivalent noise count rate threshold. If the image quality parameter is less than the image quality parameter threshold, the number of scan sequences is increased, i.e., the scan sequences are increased for a certain length of time. One or more of the components may be added. And scanning the scanning object through the increased scanning sequence to obtain at least one group of medical scanning data, and reconstructing to obtain a third medical scanning image according to the at least one group of medical scanning data and the scanning data corresponding to the second medical scanning image.
In one embodiment, the additional scan sequence is identical to the original scan sequence except that the scan time for each bed is different, and the remaining medical system scan parameters are identical to the medical system scan parameters of the original scan sequence.
In one embodiment, increasing the scan time for each bed of the scan sequence may make intelligent recommendations based on the image quality parameters of the second medical scan image, the scan protocol, and the characteristics of the particular radiopharmaceutical. More specifically, the longer the scan time, the better the image quality, but the longer the scan time, firstly the patient does not necessarily stick to, and secondly the progress of the scan of the following patient is affected. Therefore, the intelligently recommended rule is that if the equivalent noise count or the equivalent noise count rate of the second medical scanning image is smaller than the equivalent noise count threshold or the equivalent noise count rate threshold, the interpolation of the equivalent noise count of the acquired data can be compensated by recommending a fixed scanning time in combination with the equivalent noise count acquisition rate of the previously acquired data.
In one embodiment, image reconstruction is performed according to at least one set of medical scanning data obtained by adding a scanning sequence to generate at least one set of medical scanning images, image reconstruction is performed according to scanning data corresponding to a second medical scanning image to generate a second medical scanning image, then registration operation is performed in an image domain through image registration, image noise is reduced through superposition averaging operation, image quality is improved, and finally a third medical scanning image is obtained according to at least one set of medical scanning images and the second medical scanning image. Or overlapping at least one group of medical scanning data with the scanning data corresponding to the second medical scanning image, and performing image reconstruction on the overlapped scanning data to obtain a high-quality medical scanning image. Because the data formats of the scanning data are the same, in the image reconstruction and correction, the first scanning data is read, and the second scanning data is continuously read, namely the superposition.
In one embodiment, the scan protocol is intelligently increased by performing image quality analysis on the second medical scan image, i.e., appending multiple scans. And the method can also be combined with the specific image quality noise characteristic analysis of the second medical scanning image, so that the scanning protocol is more accurately increased, and the quality of the reconstructed medical scanning image is more accurately improved.
According to the medical image supplementary scanning method, in the actual using process, the image quality parameters corresponding to each bed and each tissue organ are analyzed on line, if the image quality parameters are found to be lower than the minimum value of the image quality parameters acceptable by a hospital, at least one scanning sequence with a certain time length is added immediately after the scanning of a preset scanning sequence is finished and under the condition that the position information of the bed and the scanning object is kept unchanged, a plurality of scanning sequences can be overlapped together to reconstruct the image, and the image quality is further improved.
It should be noted that the steps illustrated in the above-described flow diagrams or in the flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flow diagrams, in some cases, the steps illustrated or described may be performed in an order different than here.
The present embodiment further provides a medical image scanning apparatus, which is used to implement the above embodiments and preferred embodiments, and the description of the embodiments is omitted for brevity. As used hereinafter, the terms "module," "unit," "subunit," and the like may implement a combination of software and/or hardware for a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 4 is a block diagram showing the structure of a medical image scanning apparatus according to an embodiment, as shown in fig. 4, the apparatus including: an image data information acquisition module 100, a mapping relationship establishment module 200, a body parameter acquisition module 300, a system parameter calculation module 400, and an image generation module 500.
An image data information acquisition module 100 for acquiring medical image data information, the medical image data information comprising at least one first medical scan image;
a mapping relationship establishing module 200, configured to establish a mapping relationship between an image quality parameter and a diagnosis and treatment process parameter according to the medical image data information;
a body parameter acquiring module 300, configured to acquire body parameters of a scanning object;
a system parameter calculating module 400, configured to obtain medical system parameters according to the body parameters and the mapping relationship;
and the image generation module 500 is configured to perform medical scanning and image reconstruction on the scanned object according to the medical system parameter, and acquire a second medical scanning image.
The diagnosis and treatment process parameters at least comprise medical system parameters and scanned object body parameters, and the medical system parameters comprise medical system scanning parameters and medical system reconstruction parameters.
The image quality parameter includes at least one of image noise, liver region noise, and an equivalent noise count rate.
The image data information acquiring module 100 is further configured to move the scan object to the center of the field of view of the medical scanning system, acquire scan data within a certain time, and reconstruct the first medical scan image according to the scan data.
The image data information obtaining module 100 is further configured to establish a medical image database, and obtain medical image information from the medical image database.
The system parameter calculation module 400 is further configured to obtain a liver region noise threshold; and acquiring scanning time and the overlapping size among multiple beds according to the liver region noise threshold, the body parameters and the mapping relation.
The medical image scanning apparatus further comprises a system parameter adjustment module.
The system parameter adjusting module is used for acquiring the image quality parameter of the second medical scanning image; adjusting a medical system reconstruction parameter according to the image quality parameter of the second medical scan image.
The medical image scanning apparatus further comprises a scan sequence number determination module.
The scanning sequence quantity determining module is used for acquiring image quality parameters of the second medical scanning image; and determining the number of scanning sequences according to the image quality parameter of the second medical scanning image.
The scanning sequence quantity determining module is also used for acquiring an image quality parameter threshold; and if the image quality parameter of the second medical scanning image is smaller than the image quality parameter threshold, increasing the number of scanning sequences and acquiring at least one group of medical scanning data.
And the scanning sequence quantity determining module is further used for reconstructing a third medical scanning image according to the at least one group of medical scanning data and the scanning data corresponding to the second medical scanning image.
The above modules may be functional modules or program modules, and may be implemented by software or hardware. For a module implemented by hardware, the modules may be located in the same processor; or the modules can be respectively positioned in different processors in any combination.
In addition, the medical image scanning method of the embodiment described in conjunction with fig. 1 may be implemented by a computer device. Fig. 5 is a schematic hardware configuration diagram of a computer device in one embodiment.
The computer device may comprise a processor 81 and a memory 82 in which computer program instructions are stored.
Specifically, the processor 81 may include a Central Processing Unit (CPU), or A Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
The Memory 82 may include, for example and without limitation, a Hard Disk Drive (Hard Disk Drive, abbreviated as HDD), a floppy Disk Drive, a solid state Drive (solid state Drive, abbreviated as SSD), a flash Memory, an optical disc, a magneto-optical disc, a magnetic tape, or a Universal Serial Bus (USB) Drive, or a combination of two or more of these, where appropriate, the Memory 82 may include a removable or Non-removable (or fixed) medium, where appropriate, the Memory 82 may be internal or external to the data processing device, where in a particular embodiment, the Memory 82 is a Non-Volatile (Non-Volatile) Memory, where in a particular embodiment, the Memory 82 includes a Read-Only Memory (ROM) and a Random Access Memory (RAM), where in a particular embodiment, the ROM may be a mask-programmed ROM, a Read-Only Memory (ROM), a Random Access Memory (RAM), where appropriate, the ROM may be a Dynamic Access ROM, flash Memory (RAM), or a combination of two or more of these, where the ROM, flash Memory (RAM, where appropriate, flash Memory, RAM, or RAM, where the RAM may be a flash Memory, or RAM, where the RAM, a flash Memory may be a flash Memory, or a flash Memory, where appropriate, or a flash Memory, or a combination of a flash Memory, or.
The memory 82 may be used to store or cache various data files for processing and/or communication use, as well as possible computer program instructions executed by the processor 81.
The processor 81 implements any one of the medical image scanning methods in the above embodiments by reading and executing computer program instructions stored in the memory 82.
In some of these embodiments, the computer device may also include a communication interface 83 and a bus 80. As shown in fig. 5, the processor 81, the memory 82, and the communication interface 83 are connected via the bus 80 to complete communication therebetween.
The communication interface 83 is used for implementing communication between modules, devices, units and/or equipment in the embodiment of the present application. The communication port 83 may also be implemented with other components such as: the data communication is carried out among external equipment, image/data acquisition equipment, a database, external storage, an image/data processing workstation and the like.
The computer device may execute the medical image scanning method in the embodiment of the present application based on the acquired computer instructions, thereby implementing the medical image scanning method described in conjunction with fig. 1.
In addition, in combination with the medical image scanning method in the above embodiments, the embodiments of the present application may be implemented by providing a computer-readable storage medium. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the medical image scanning methods of the above embodiments.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (13)
1. A method of medical image scanning, the method comprising:
acquiring medical image data information, the medical image data information comprising at least one first medical scan image;
establishing a mapping relation between image quality parameters and diagnosis and treatment process parameters according to the medical image data information;
acquiring body parameters of a scanning object;
acquiring medical system parameters according to the body parameters and the mapping relation;
and performing medical scanning and image reconstruction on the scanned object according to the medical system parameters to acquire a second medical scanning image.
2. The method of claim 1, wherein the medical procedure parameters include at least medical system parameters and scanned object body parameters, the medical system parameters including medical system scan parameters and medical system reconstruction parameters.
3. The method of claim 2, wherein the image quality parameter comprises at least one of image noise, liver region noise, and an equivalent noise count rate.
4. The method of claim 1, wherein the acquiring medical image data information comprises:
moving the scanning object to the center of the visual field of the medical scanning system, acquiring scanning data within a certain time, and reconstructing the first medical scanning image according to the scanning data.
5. The method of claim 1, wherein the acquiring medical image data information comprises:
establishing a medical image database, and acquiring medical image information from the medical image database.
6. The method of claim 3, wherein obtaining medical system parameters according to the body parameters and the mapping relationship comprises:
acquiring a liver region noise threshold;
and acquiring scanning time and the overlapping size among multiple beds according to the liver region noise threshold, the body parameters and the mapping relation.
7. The method of claim 3, further comprising:
acquiring an image quality parameter of a second medical scanning image;
adjusting a medical system reconstruction parameter according to the image quality parameter of the second medical scan image.
8. The method of claim 1, further comprising:
acquiring an image quality parameter of a second medical scanning image;
and determining the number of scanning sequences according to the image quality parameter of the second medical scanning image.
9. The method of claim 8, wherein determining a number of scan sequences from an image quality parameter of the second medical scan image comprises:
acquiring an image quality parameter threshold;
and if the image quality parameter of the second medical scanning image is smaller than the image quality parameter threshold, increasing the number of scanning sequences and acquiring at least one group of medical scanning data.
10. The method of claim 9, wherein the increasing the number of scan sequences after acquiring the at least one set of medical scan data comprises:
and reconstructing a third medical scanning image according to the at least one group of medical scanning data and the scanning data corresponding to the second medical scanning image.
11. A medical image scanning apparatus, characterized in that the apparatus comprises:
an image data information acquisition module for acquiring medical image data information, the medical image data information comprising at least one first medical scan image;
the mapping relation establishing module is used for establishing a mapping relation between image quality parameters and diagnosis and treatment process parameters according to the first medical scanning image;
the body parameter acquisition module is used for acquiring body parameters of a scanning object;
the system parameter calculation module is used for acquiring medical system parameters according to the body parameters and the mapping relation;
and the image generation module is used for carrying out medical scanning and image reconstruction on the scanned object according to the medical system parameters to acquire a second medical scanning image.
12. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any one of claims 1 to 10 when executing the computer program.
13. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 10.
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