CN112603338B

CN112603338B - Method and device for selecting and retrospective reconstruction data of heart spiral retrospective reconstruction

Info

Publication number: CN112603338B
Application number: CN202011390903.7A
Authority: CN
Inventors: 安谋
Original assignee: Sinovision Technology Beijing Co ltd
Current assignee: Sinovision Technology Beijing Co ltd
Priority date: 2020-12-02
Filing date: 2020-12-02
Publication date: 2021-11-12
Anticipated expiration: 2040-12-02
Also published as: CN112603338A

Abstract

The application provides a method and a device for selecting and retrospectively reconstructing data of a heart spiral retrospective reconstruction. The heart spiral retrospective reconstruction data selection method comprises the following steps: acquiring an exposure range of exposure data in raw ECG data; compensating the position information of the non-exposure R wave closest to the exposure range into synchronous ECG data synchronous with the exposure data to obtain compensated ECG data; the reconstructed data is selected based on the compensated ECG data. And compensating the position information of the non-exposure R wave closest to the exposure range to synchronous ECG, and selecting data based on the compensated ECG data, wherein when the initial position and the end position of the exposure data are between the R waves, the reconstruction data can be selected according to the position information of the compensated non-exposure R wave position information. Thus, the range of the ECG data actually involved in calculation can be made the same as the range covered by the actual exposure data, without the need for additional increase of the exposure range, thereby reducing the exposure dose.

Description

Method and device for selecting and retrospective reconstruction data of heart spiral retrospective reconstruction

Technical Field

The application relates to the technical field of imaging, in particular to a method and a device for selecting, reviewing and reconstructing cardiac spiral review reconstruction data.

Background

Cardiac coronary perfusion scanning is one of the most important functions of medium and high-end CT. Helical retrospective scan reconstruction based on conventional third generation ct (computed tomogry) is one of the most common cardiac coronary perfusion scans used by physicians. The key to the scan reconstruction of the heart is that the heart is an object which beats at a moment, the heart scan reconstruction by adopting the conventional spiral scan protocol can bring serious motion artifacts so that clear coronary vascular structures can not be reconstructed for clinical diagnosis, and in addition, the longitudinal coverage of a detector of the conventional CT equipment is not wide enough to cover the whole heart range of a patient in one rotation scan. At present, except that the GE (general electric) RevolationCT adopts an ultra-wide body detector and a fast frame rotating speed to scan a complete heart in a tomography, and Siemens' double-source CT completes the data acquisition of the heart in a short time by virtue of a large pitch, a mature scheme is based on the selection of data by synchronously acquiring ECG data of a patient when acquiring exposure data of a small pitch for the heart of the patient, and image reconstruction of the complete heart is performed by selecting a data segment of a proper cardiac cycle, which is called as heart spiral retrospective scan reconstruction.

In the process of cardiac spiral retrospective reconstruction, in order to ensure that an image with high time resolution is obtained, the reconstruction needs to be performed by using as little data as possible, namely a spiral half-scan reconstruction mode. Meanwhile, in order to ensure the longitudinal full coverage of the whole heart and the continuity of tissues in the images, the half-scan helical data with the same phase in each cardiac cycle needs to be selected for reconstruction. Finally, in order to ensure that images reconstructed from half-scan data in a plurality of cardiac cycles are continuous in the longitudinal direction and do not cause data loss, the pitch of the helical scan needs to be set according to the heart rate of the patient.

When scanning exposure is performed, the exposure start position and/or the exposure end position are/is usually in the cardiac cycle, i.e. between two R-waves, and in order not to cause exposure data loss, the range of Electrocardiogram (ECG) data covered by the actual exposure is usually larger than the range of ECG data actually involved in calculation, resulting in an increase of the exposure dose of the patient.

Therefore, how to reduce the irradiated dose of a patient in retrospective reconstruction of a heart spiral becomes a technical problem to be solved urgently.

Disclosure of Invention

In order to solve the problem of reducing the irradiation dose of a patient in the process of retrospective reconstruction of a heart, the application provides a method and a device for selecting and retrospectively reconstructing data of the retrospective reconstruction of the heart.

According to a first aspect, an embodiment of the present invention provides a cardiac spiral retrospective reconstruction data sorting method, including: acquiring an exposure range of exposure data in raw ECG data; compensating the position information of the non-exposure R wave closest to the exposure range into synchronous ECG data synchronous with the exposure data to obtain compensated ECG data; the reconstructed data is selected based on the compensated ECG data.

Optionally, compensating the non-exposure R-wave position information closest to the exposure range into the synchronized ECG data synchronized with the exposure data comprises: determining a first cardiac cycle of an exposure starting position based on the exposure range; determining initial non-exposure R wave position information based on the first cardiac cycle, wherein the initial non-exposure R wave position information is the non-exposure R wave position information closest to an exposure initial position; acquiring the synchronized ECG data; compensating the synchronous ECG data based on the initial non-exposure R wave position information to obtain compensated ECG data, wherein the compensated ECG data comprises the synchronous ECG data and ECG data between an exposure initial position and the initial non-exposure R wave position information.

Optionally, said choosing of reconstructed data based on said compensated ECG data comprises: determining a first phase of the exposure start position in the ECG data based on the start non-exposure R-wave position information; selecting the reconstructed data based on the first phase.

Optionally, compensating the non-exposure R-wave position information closest to the exposure range into the synchronized ECG data synchronized with the exposure data comprises: determining a second cardiac cycle at which an exposure termination position is located based on the exposure range; determining position information of a terminated non-exposure R wave based on the second cardiac cycle, wherein the position information of the terminated non-exposure R wave is the position information of the non-exposure R wave closest to the exposure termination position; acquiring the synchronized ECG data; compensating the synchronous ECG data based on the position information of the ending non-exposure R wave to obtain the compensated ECG data, wherein the compensated ECG data comprises the synchronous ECG data and the ECG data between the position of the ending exposure and the position information of the starting non-exposure R wave.

Optionally, said choosing of reconstructed data based on said compensated ECG data comprises: determining a second phase of the exposure termination location in the ECG data based on the termination non-exposure R-wave location information; selecting the reconstructed data based on the second phase.

According to a second aspect, an embodiment of the present invention provides a cardiac spiral retrospective reconstruction method, including: selecting the reconstruction data based on the heart spiral retrospective reconstruction data selecting method in any one of the first aspect; and reconstructing the reconstruction data to obtain a heart reconstruction image.

According to a third aspect, an embodiment of the present invention provides a cardiac spiral retrospective reconstruction data sorting apparatus, including: the acquisition module is used for acquiring the exposure range of the exposure data in the original ECG data; the compensation module is used for compensating the position information of the non-exposure R wave closest to the exposure range into synchronous ECG data synchronous with the exposure data to obtain compensated ECG data; a selection module for selecting reconstruction data based on the compensated ECG data.

According to a fourth aspect, embodiments of the present invention provide a cardiac helical retrospective reconstruction apparatus, comprising: a data selecting module, configured to select reconstructed data based on the cardiac spiral review reconstructed data selecting method according to any one of the first aspect; and the reconstruction module is used for reconstructing the reconstruction data to obtain a heart reconstruction image.

According to a fifth aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the cardiac spiral review reconstruction data picking method according to any one of the first aspect or the cardiac spiral review reconstruction method according to the second aspect.

According to a sixth aspect, an embodiment of the present invention provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to cause the at least one processor to perform the cardiac spiral review reconstruction data picking method of any one of the first aspect or the cardiac spiral review reconstruction method of the second aspect.

In the application, the exposure range of the exposure data in the raw ECG data is obtained; compensating the position information of the non-exposure R wave closest to the exposure range into synchronous ECG data synchronous with the exposure data to obtain compensated ECG data; and selecting the reconstruction data based on the compensated ECG data, compensating the exposure data synchronous ECG data based on the exposure range, compensating the non-exposure R wave position information closest to the exposure range to the synchronous ECG, and selecting the data based on the compensated ECG data. Thus, the range of the ECG data actually involved in calculation can be made the same as the range covered by the actual exposure data, without the need for additional increase of the exposure range, thereby reducing the exposure dose.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.

FIG. 1 is a schematic representation of exposure data versus ECG data;

FIG. 2 is a diagram illustrating the hardware environment of an alternative cardiac spiral review reconstruction data culling method according to an embodiment of the invention;

FIG. 3 is a schematic flow chart diagram illustrating an alternative method for selecting cardiac spiral review reconstruction data according to an embodiment of the present application;

FIG. 4 is a block diagram of an alternative cardiac spiral review reconstruction data culling apparatus according to an embodiment of the present application;

fig. 5 is a block diagram of an alternative electronic device according to an embodiment of the present application.

Detailed Description

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all 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 application.

It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

As described in the background, when scanning exposure is performed, the exposure start position and/or the exposure end position are/is usually in the cardiac cycle, i.e. between two R-waves, so as not to cause exposure data loss, the range of Electrocardiogram (ECG) data covered by the actual exposure is usually larger than the range of ECG data actually involved in calculation, resulting in an increase of the exposure dose of the patient. Referring to fig. 1, assuming a patient heart rate of R (i.e., R beats per minute), it is assumed that the appropriate scan pitch P has been selected to ensure that the selected half-scan data reconstructed images for each cardiac cycle do not produce a gap in the longitudinal direction. The longitudinal range of the image which can be reconstructed by each half-scan data is set as L. Then the distance the couch is moved over a cardiac cycle should not be greater than L in order to ensure that the images reconstructed from selected half-scan data at the same phase in adjacent cardiac cycles can be concatenated.

Considering the limit shown in the above figure, the reconstructed image range of the data segment B2 just fails to cover the first image, and the data segment B1 must exist to ensure the reconstruction of the first image is complete. In this case, B2 is located approximately L/2 to the right of the first drawing position and B1 is located approximately L/2 to the left of the first drawing position. To obtain the B1 data, the algorithm needs to know the position of RPeak1, i.e., the exposure field needs to be moved forward to contain RPeak 1. In this case, the exposure position is more than the data position actually involved in the calculation by the range of Ext, which increases the exposure dose of the patient. In general, to ensure that RPeak1 can be included in the exposure data field, it is necessary to set the exposure start approximately at L/2+ Ext before the start position of the reconstructed image, whereas for the limit case of 99% phase reconstruction, Ext is approximately equal to L and the exposure end position is the same.

Based on this, according to an aspect of the embodiments of the present application, a cardiac spiral retrospective reconstruction data picking method is provided. Alternatively, in the present embodiment, the above-mentioned cardiac spiral retrospective reconstruction data sorting method may be applied to a hardware environment formed by the terminal 102 and the server 104 as shown in fig. 2. As shown in fig. 2, the server 104 is connected to the terminal 102 through a network, which may be used to provide services for the terminal or a client installed on the terminal, may be provided with a database on the server or independent from the server, may be used to provide data storage services for the server 104, and may also be used to handle cloud services, and the network includes but is not limited to: wide area network, metropolitan area network, or local area network, and the terminal 102 is not limited to CT machines, computers, or the like. The cardiac spiral review reconstruction data selection method according to the embodiment of the present application may be executed by the server 104, the terminal 102, or both the server 104 and the terminal 102.

Taking the terminal 102 and/or the server 104 to execute the cardiac spiral review reconstruction data picking method in this embodiment as an example, fig. 3 is a schematic flowchart of an optional cardiac spiral review reconstruction data picking method according to an embodiment of the present application, and as shown in fig. 2, the flowchart of the method may include the following steps:

step S202, acquiring an exposure range of exposure data in original ECG data;

step S204, compensating the position information of the non-exposure R wave closest to the exposure range into synchronous ECG data synchronous with the exposure data to obtain compensated ECG data;

step S206, selecting reconstructed data based on the compensated ECG data. Illustratively, after the non-exposure R wave position information is obtained, the synchronous ECG data is compensated, ECG data of a complete cardiac cycle of a cardiac cycle in which the initial position and/or the end position of the exposure data are located can be obtained, the phase of the initial position and/or the end position of the exposure data is determined based on the non-exposure R wave position information, phase information of reconstruction data selection and data splicing can be obtained, and the initial position and/or the end position of the phase information cannot be determined without depending on redundant exposure coverage.

Acquiring an exposure range of exposure data in raw ECG data; compensating the position information of the non-exposure R wave closest to the exposure range into synchronous ECG data synchronous with the exposure data to obtain compensated ECG data; and selecting the reconstruction data based on the compensated ECG data, compensating the exposure data synchronous ECG data based on the exposure range, compensating the non-exposure R wave position information closest to the exposure range to the synchronous ECG, and selecting the data based on the compensated ECG data. Thus, the range of the ECG data actually involved in calculation can be made the same as the range covered by the actual exposure data, without the need for additional increase of the exposure range, thereby reducing the exposure dose.

Illustratively, when data is selected and a cardiac image is reconstructed, real-time acquisition of ECG data is required, and scanning exposure is performed according to a real-time heart rate of a patient, so the ECG data is acquired first, during the acquisition of the ECG data, scanning exposure is performed, and exposure data and scanning data are synchronously transmitted to a calculation module for data selection and cardiac image reconstruction to be calculated, the data required by the calculation module is exposure data, therefore, synchronous data obtained in the calculation module are exposure data and synchronous ECG data covered by the exposure data, whereas in the prior art, an exposure start position and/or an exposure end position are usually in a cardiac cycle, i.e. between two R waves, in order to avoid exposure data loss, redundant exposure is usually performed, so that the range of ECG data covered by actual exposure is larger than the range of ECG data actually involved in calculation, in this way, when the first exposure image and the last image are selected, the exposure data of the first image and the last image can be ensured not to be lost, in the embodiment, the nearest non-exposure R wave position information compensation value outside the exposure range can be synchronized in the ECG data, so that the phases of the exposure starting position and the exposure ending position can be obtained, the phases of the exposure starting position and the exposure ending position can be accurately known when data selection and image reconstruction are carried out, redundant exposure is not needed, and the exposure dose is reduced.

As an exemplary embodiment, compensating the non-exposure R-wave position information closest to the exposure range into the synchronized ECG data synchronized with the exposure data comprises: determining a first cardiac cycle of an exposure starting position based on the exposure range; determining initial non-exposure R wave position information based on the first cardiac cycle, wherein the initial non-exposure R wave position information is the non-exposure R wave position information closest to an exposure initial position; acquiring the synchronized ECG data; compensating the synchronous ECG data based on the initial non-exposure R wave position information to obtain compensated ECG data, wherein the compensated ECG data comprises the synchronous ECG data and ECG data between an exposure initial position and the initial non-exposure R wave position information. Specifically, when selecting the reconstruction data, the first phase of the exposure start position in the ECG data may be determined based on the start non-exposure R-wave position information; selecting the reconstructed data based on the first phase.

For the exposure ending position, the exposure ending position may also be located at a non-R-wave position, so compensating the non-exposure R-wave position information closest to the exposure range into the synchronous ECG data synchronized with the exposure data may further include: determining a second cardiac cycle at which an exposure termination position is located based on the exposure range; determining position information of a terminated non-exposure R wave based on the second cardiac cycle, wherein the position information of the terminated non-exposure R wave is the position information of the non-exposure R wave closest to the exposure termination position; acquiring the synchronized ECG data; compensating the synchronous ECG data based on the position information of the ending non-exposure R wave to obtain the compensated ECG data, wherein the compensated ECG data comprises the synchronous ECG data and the ECG data between the position of the ending exposure and the position information of the starting non-exposure R wave. Determining a second phase of the exposure termination location in the ECG data based on the termination non-exposure R-wave location information; selecting the reconstructed data based on the second phase.

The embodiment of the invention provides a heart spiral retrospective reconstruction method, which comprises the following steps: selecting reconstructed data based on the heart spiral review reconstructed data selecting method in the embodiment; and reconstructing the reconstruction data to obtain a heart reconstruction image.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., a ROM (Read-Only Memory)/RAM (Random Access Memory), a magnetic disk, an optical disk) and includes several instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the methods according to the embodiments of the present application.

According to another aspect of the embodiments of the present application, there is also provided a cardiac spiral retrospective reconstruction data sorting apparatus for performing the cardiac spiral retrospective reconstruction data sorting. Fig. 4 is a schematic diagram of an alternative cardiac spiral review reconstruction data sorting apparatus according to an embodiment of the present application, as shown in fig. 4, which may include:

(1) an obtaining module 402, configured to obtain an exposure range of the exposure data in the raw ECG data;

(2) a compensation module 404, configured to compensate the non-exposure R-wave position information closest to the exposure range into synchronous ECG data synchronized with the exposure data, so as to obtain compensated ECG data;

(3) a selection module 406 for selecting reconstruction data based on the compensated ECG data.

It should be noted that the obtaining module 402 in this embodiment may be configured to perform the step S202, the compensating module 404 in this embodiment may be configured to perform the step S204, and the selecting module 406 in this embodiment may be configured to perform the step S206.

It should be noted here that the modules described above are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to the disclosure of the above embodiments. It should be noted that the modules described above as a part of the apparatus may be operated in a hardware environment as shown in fig. 1, and may be implemented by software, or may be implemented by hardware, where the hardware environment includes a network environment.

According to a further aspect of the embodiments of the present application, there is also provided an electronic device for implementing the above cardiac spiral review reconstruction data picking method and/or cardiac spiral review reconstruction method, where the electronic device may be a server, a terminal, or a combination thereof.

Fig. 5 is a block diagram of an alternative electronic device according to an embodiment of the present application, as shown in fig. 5, including a processor 502, a communication interface 504, a memory 506, and a communication bus 508, where the processor 502, the communication interface 504, and the memory 506 are communicated with each other via the communication bus 508, and where,

a memory 506 for storing a computer program;

a processor 502 for implementing the steps of the cardiac spiral review reconstruction data selection method and/or the cardiac spiral review reconstruction method when executing the computer program stored in the memory 506.

Alternatively, in this embodiment, the communication bus may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.

The communication interface is used for communication between the electronic equipment and other equipment.

The memory may include RAM, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory. Alternatively, the memory may be at least one memory device located remotely from the processor.

The processor may be a general-purpose processor, and may include but is not limited to: a CPU (Central Processing Unit), an NP (Network Processor), and the like; but also a DSP (Digital Signal Processing), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.

Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.

It can be understood by those skilled in the art that the structure shown in fig. 5 is only an illustration, and the device implementing the above-mentioned cardiac spiral review reconstruction data selection method and/or cardiac spiral review reconstruction method may be a terminal device, and the terminal device may be an air conditioner, a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, a Mobile Internet Device (MID), a PAD, or other terminal Devices. Fig. 5 is a diagram illustrating a structure of the electronic device. For example, the terminal device may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in FIG. 5, or have a different configuration than shown in FIG. 5.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disk, ROM, RAM, magnetic or optical disk, and the like.

According to still another aspect of an embodiment of the present application, there is also provided a storage medium. Optionally, in this embodiment, the storage medium may be used for program codes of a cardiac spiral review reconstruction data sorting method and/or a cardiac spiral review reconstruction method.

Optionally, in this embodiment, the storage medium may be located on at least one of a plurality of network devices in a network shown in the above embodiment.

Optionally, in this embodiment, the storage medium is arranged to store steps for performing a cardiac spiral review reconstruction data culling method and/or a cardiac spiral review reconstruction method.

Optionally, the specific example in this embodiment may refer to the example described in the above embodiment, which is not described again in this embodiment.

Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing program codes, such as a U disk, a ROM, a RAM, a removable hard disk, a magnetic disk, or an optical disk.

The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.

The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including instructions for causing one or more computer devices (which may be personal computers, servers, network devices, or the like) to execute all or part of the steps of the method described in the embodiments of the present application.

In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, and may also be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution provided in the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.

Claims

1. A method for selecting data for cardiac spiral retrospective reconstruction, comprising:

acquiring an exposure range of exposure data in raw ECG data;

compensating the position information of the non-exposure R wave closest to the exposure range into synchronous ECG data synchronous with the exposure data to obtain compensated ECG data;

the compensating the non-exposure R wave position information closest to the exposure range into the synchronous ECG data synchronized with the exposure data to obtain compensated ECG data comprises:

after the position information of the non-exposure R wave is obtained, the synchronous ECG data are compensated, and ECG data required by data selection in the cardiac cycle where the initial position and/or the end position of the exposure data are/is obtained;

determining the phase of an exposure starting position and/or an exposure ending position based on the non-exposure R wave position information to obtain phase information of reconstruction data selection and data splicing;

the reconstructed data is selected based on the compensated ECG data.

2. The reconstruction data selecting method according to claim 1, wherein the compensating the non-exposure R-wave position information closest to the exposure range to the synchronous ECG data synchronized with the exposure data includes:

determining a first cardiac cycle of an exposure starting position based on the exposure range;

determining initial non-exposure R wave position information based on the first cardiac cycle, wherein the initial non-exposure R wave position information is the non-exposure R wave position information closest to an exposure initial position;

acquiring the synchronized ECG data;

compensating the synchronous ECG data based on the initial non-exposure R wave position information to obtain compensated ECG data, wherein the compensated ECG data comprises the synchronous ECG data and ECG data between an exposure initial position and the initial non-exposure R wave position information.

3. The reconstruction data selection method as claimed in claim 2, wherein said selecting the reconstruction data based on the compensated ECG data comprises:

determining a first phase of the exposure start position in the ECG data based on the start non-exposure R-wave position information;

selecting the reconstructed data based on the first phase.

4. The reconstruction data selecting method according to claim 2, wherein the compensating the non-exposure R-wave position information closest to the exposure range to the synchronous ECG data synchronized with the exposure data includes:

determining a second cardiac cycle at which an exposure termination position is located based on the exposure range;

determining position information of a terminated non-exposure R wave based on the second cardiac cycle, wherein the position information of the terminated non-exposure R wave is the position information of the non-exposure R wave closest to the exposure termination position;

acquiring the synchronized ECG data;

compensating the synchronous ECG data based on the position information of the ending non-exposure R wave to obtain the compensated ECG data, wherein the compensated ECG data comprises the synchronous ECG data and the ECG data between the position of the ending exposure and the position information of the starting non-exposure R wave.

5. The reconstruction data selection method as claimed in claim 4, wherein said selecting the reconstruction data based on the compensated ECG data comprises:

determining a second phase of the exposure termination location in the ECG data based on the termination non-exposure R-wave location information;

selecting the reconstructed data based on the second phase.

6. A cardiac spiral retrospective reconstruction method is characterized in that,

selecting reconstructed data based on the cardiac spiral review reconstructed data selecting method of any one of claims 1 to 5;

and reconstructing the reconstruction data to obtain a heart reconstruction image.

7. A cardiac spiral review reconstruction data selection apparatus, comprising:

the acquisition module is used for acquiring the exposure range of the exposure data in the original ECG data;

the compensation module is used for compensating the position information of the non-exposure R wave closest to the exposure range into synchronous ECG data synchronous with the exposure data to obtain compensated ECG data;

after the position information of the non-exposure R wave is obtained, the synchronous ECG data is compensated, and ECG data required by data selection in the cardiac cycle where the initial position and/or the end position of the exposure data are/is located can be obtained;

a selection module for selecting reconstruction data based on the compensated ECG data.

8. A heart spiral retrospective reconstruction device is characterized in that,

a data selecting module for selecting the reconstruction data based on the cardiac spiral retrospective reconstruction data selecting method of any one of claims 1 to 5;

and the reconstruction module is used for reconstructing the reconstruction data to obtain a heart reconstruction image.

9. A computer-readable storage medium storing computer instructions for causing a computer to perform the cardiac spiral review reconstruction data picking method according to any one of claims 1-5 or the cardiac spiral review reconstruction method according to claim 6.

10. An electronic device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to cause the at least one processor to perform a cardiac spiral review reconstruction data culling method as defined in any one of claims 1-5 or a cardiac spiral review reconstruction method as defined in claim 6.