CN117714693A - Medical image data compression transmission method, system, equipment and medium - Google Patents
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- 230000005540 biological transmission Effects 0.000 title claims abstract description 72
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000013144 data compression Methods 0.000 title claims abstract description 50
- 230000003068 static effect Effects 0.000 claims abstract description 56
- 238000012545 processing Methods 0.000 claims abstract description 26
- 238000007906 compression Methods 0.000 claims abstract description 10
- 230000006835 compression Effects 0.000 claims abstract description 10
- 238000000605 extraction Methods 0.000 claims description 49
- 238000004590 computer program Methods 0.000 claims description 9
- 230000004069 differentiation Effects 0.000 claims description 8
- 238000013139 quantization Methods 0.000 claims description 7
- 239000011159 matrix material Substances 0.000 claims description 6
- 238000004806 packaging method and process Methods 0.000 claims description 6
- 238000012549 training Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000010606 normalization Methods 0.000 claims description 4
- 238000007499 fusion processing Methods 0.000 claims description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000002059 diagnostic imaging Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 241001465754 Metazoa Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000006837 decompression Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
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Abstract
The invention discloses a medical image data compression transmission method, a system, equipment and a medium, which relate to the technical field of video compression processing and comprise the following steps: obtaining multi-frame image data from a video to be compressed, dividing the multi-frame image data into a static frame and a dynamic frame, and marking the static frame and the dynamic frame according to a time sequence; acquiring any data frame, if the extracted current data frame is the first frame data, carrying out image coding on the data frame, and determining a decoding frame of the first frame data; if the extracted current data frame is not the first frame data, determining a decoding frame of the current data frame according to the multi-frame image data combined with the data compression network; and respectively compressing the compressed dynamic frame and the static frame according to the decoded frame, and adjusting the transmission code rate of the video to be compressed based on the uplink average transmission speed and the video code rate of the receiving terminal.
Description
Technical Field
The invention relates to the technical field of video compression processing, in particular to a medical image data compression transmission method, a system, equipment and a medium.
Background
Medical imaging is an important basis for assisting clinicians in diagnosing, treating and analyzing post-healing conditions. Along with the rapid construction of digital hospitals and the appearance of more advanced medical imaging equipment and technology, a large amount of medical images are generated in hospitals every day, so that the storage space of medical image data is greatly increased, because medical images generally contain a large amount of details and high-resolution images, the file size of the medical images is larger, the image data is subjected to transmission rate and images of compression algorithms during compression, if the proper compression algorithm is selected without considering the transmission rate of bandwidth during transmission, the transmission efficiency and fluency of videos are affected, the transmission is slower, the details are easy to lose, and the working difficulty of medical image diagnosticians is greatly increased.
Disclosure of Invention
In order to overcome the defects, the invention provides a medical image data compression transmission method, a system, equipment and a medium.
In one aspect, a medical image data compression transmission method is provided, including the following steps:
obtaining multi-frame image data from a video to be compressed, dividing the multi-frame image data into a static frame and a dynamic frame, and marking the static frame and the dynamic frame according to a time sequence;
acquiring any data frame, if the extracted current data frame is the first frame data, carrying out image coding on the data frame, and determining a decoding frame of the first frame data; if the extracted current data frame is not the first frame data, determining a decoding frame of the current data frame according to the multi-frame image data combined with the data compression network;
and respectively compressing the compressed dynamic frame and the static frame according to the decoded frame, and adjusting the transmission code rate of the video to be compressed based on the uplink average transmission speed and the video code rate of the receiving terminal.
Preferably, the data compression network includes a feature extraction network, a residual processing network, and a frame reconstruction network, the residual extraction network including: the system comprises a first pyramid network, a second pyramid network and a three-dimensional convolution network, wherein the first pyramid network and the second pyramid network are of symmetrical structures.
Preferably, when determining the decoding frame of the current data frame according to the multi-frame image data and the data compression network, the method specifically comprises the following steps:
inputting the decoded frames of the multi-frame image data and the first frame data into the first pyramid network for convolution processing to obtain a first convolution characteristic and at least one middle convolution characteristic;
inputting the first convolution feature and at least one middle convolution feature into the second pyramid network to perform feature fusion processing to obtain a second convolution feature;
and inputting the second convolution characteristic into the three-dimensional convolution network, and taking a residual result as a decoded frame of the current data frame.
Preferably, when the residual result is used as the decoded frame of the current data frame, the method specifically comprises the following steps:
constructing a quantization matrix at a frame level based on inter-frame differentiation;
combining the quantization matrix with inter-frame differentiation to obtain a true model;
and carrying out normalization calculation on the residual error result by using the true model to obtain a normalized residual error result, and taking the normalized residual error result as a decoding frame of the current data frame.
Preferably, when adjusting the transmission code rate of the video to be compressed, the method specifically includes the following steps:
checking whether the uplink average transmission speed is smaller than the terminal video code rate, and if the uplink average transmission speed is smaller than the receiving terminal video code rate, performing frame extraction processing on the dynamic frame and the static frame according to a preset adjustment range;
and if the uplink average transmission speed is greater than or equal to the video code rate of the receiving terminal, adjusting the transmission code rate of the video to be compressed to the video code rate of the receiving terminal.
Preferably, when the frame extraction processing is performed on the dynamic frame and the static frame according to a preset adjustment range, the method specifically includes the following steps:
setting a static frame extraction number for a static frame and a dynamic frame extraction number for a dynamic frame;
performing static frame extraction processing on the static frame according to the set static frame extraction number; and carrying out dynamic frame extraction processing on the dynamic frames according to the set dynamic frame extraction number.
In a second aspect, a medical image data compression transmission system is provided, including:
splitting module: the method comprises the steps of extracting static frames and dynamic frames in a video to be compressed;
compression training module: a decoded frame for determining a dynamic frame using the data compression network;
and (3) packaging a module: the method comprises the steps of determining a compressed dynamic frame and the static frame according to a decoded frame, and respectively compressing and packaging to obtain a compressed target video;
an uplink transmission speed acquisition module: the method is used for acquiring the transmission speed of the uplink module;
terminal video code speed acquisition module: the method is used for acquiring the video code rate of the receiving terminal.
As a preferred alternative to this,
and a frame extraction module: the method is used for setting static frame extraction number for static frames, setting dynamic frame extraction number for dynamic frames, and respectively carrying out frame extraction treatment on the static frames and the dynamic frames according to the set static frame extraction number and the set dynamic frame extraction number.
In a third aspect, an electronic device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the medical image data compression transmission method when executing the program.
In a fourth aspect, a non-transitory computer readable storage medium is provided, on which a computer program is stored, which when executed by a processor, implements the medical image data compression transmission method.
The beneficial effects of the invention are as follows:
according to the invention, the dynamic frame and the static frame of the monitoring video are cut, and the decoding processing is carried out on the dynamic frame video, so that the data compression amount of the dynamic frame can be effectively reduced, and meanwhile, the transmission code rate of the video to be compressed is adjusted in real time according to the video code rate and the uplink average transmission speed of the terminal, so that the details of medical images are not lost, the transmission efficiency and the fluency of the video to be compressed are effectively ensured, and the working difficulty of medical image diagnosticians is reduced.
Drawings
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. Like elements or portions are generally identified by like reference numerals throughout the several figures. In the drawings, elements or portions thereof are not necessarily drawn to scale.
FIG. 1 is a flow chart of a medical image data compression transmission method provided by the invention;
fig. 2 is a flowchart of determining a decoding frame of a current data frame in the medical image data compression transmission method provided by the invention.
Detailed Description
Embodiments of the technical scheme of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and thus are merely examples, and are not intended to limit the scope of the present invention.
It is noted that unless otherwise indicated, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.
In embodiment 1, as shown in fig. 1, a medical image data compression transmission method includes the following steps:
obtaining multi-frame image data from a video to be compressed, dividing the multi-frame image data into a static frame and a dynamic frame, and marking the static frame and the dynamic frame according to a time sequence;
acquiring any data frame, if the extracted current data frame is the first frame data, carrying out image coding on the data frame, and determining a decoding frame of the first frame data; if the extracted current data frame is not the first frame data, determining a decoding frame of the current data frame according to the multi-frame image data combined with the data compression network;
and respectively compressing the compressed dynamic frame and the static frame according to the decoded frame, and adjusting the transmission code rate of the video to be compressed based on the uplink average transmission speed and the video code rate of the receiving terminal.
According to the invention, the dynamic frame and the static frame of the monitoring video are cut, and the decoding processing is carried out on the dynamic frame video, so that the data compression amount of the dynamic frame can be effectively reduced, and meanwhile, the transmission code rate of the video to be compressed is adjusted in real time according to the video code rate and the uplink average transmission speed of the terminal, so that the details of medical images are not lost, the transmission efficiency and fluency of the video to be compressed are effectively ensured, and the working difficulty of medical image diagnosticians is reduced.
The current data frame can be specifically understood as any data frame obtained by compressing the data to be compressed, and the data compression network can be specifically understood as a pre-training neural network model of video compression. The data compression network is pre-trained to obtain a large number of videos for training the data compression network. Each video contains a certain number of data frames, which may be the same or different. The number of data frames in the video can be determined according to the change speed of moving objects such as people, objects, animals and the like in the video. For videos with larger speed variation, shorter videos may be selected, and for videos with smaller speed variation, longer videos may be selected. In the training process, parameters of the model are continuously adjusted according to the loss function, and finally the data compression network meeting the requirements is obtained. The trained data compression network can directly input data and obtain processing results according to learning experience. The residual may be processed by compression, quantization, entropy coding, decompression, feature reconstruction, frame reconstruction, etc.
More specifically, the data compression network includes a feature extraction network, a residual processing network, and a frame reconstruction network, the residual extraction network including: the system comprises a first pyramid network, a second pyramid network and a three-dimensional convolution network, wherein the first pyramid network and the second pyramid network are of symmetrical structures.
The first pyramid network and the second pyramid network are symmetrically structured networks, one pyramid is from bottom to top, the other pyramid is from top to bottom, and the two pyramids are transversely connected. The first pyramid network and the second pyramid network are multi-scale pyramids, and multi-scale space-time feature extraction is achieved. The first convolution feature may be specifically understood as a feature obtained by performing convolution sampling processing on the input sequence by using a first pyramid network, where one of the first pyramid network and the second pyramid network performs upsampling, and one performs downsampling.
More specifically, when determining the decoded frame of the current data frame according to the multi-frame image data in combination with the data compression network, the method specifically includes the following steps:
inputting the decoded frames of the multi-frame image data and the first frame data into the first pyramid network for convolution processing to obtain a first convolution characteristic and at least one middle convolution characteristic;
inputting the first convolution feature and at least one middle convolution feature into the second pyramid network to perform feature fusion processing to obtain a second convolution feature;
and inputting the second convolution characteristic into the three-dimensional convolution network, and taking a residual result as a decoded frame of the current data frame.
The second convolution characteristic may be specifically understood as a final characteristic obtained by performing convolution processing on the second pyramid network for multiple times, that is, a final output result of the two pyramid networks.
More specifically, when the residual result is used as the decoded frame of the current data frame, the method specifically includes the following steps:
constructing a quantization matrix at a frame level based on inter-frame differentiation;
combining the quantization matrix with inter-frame differentiation to obtain a true model;
and carrying out normalization calculation on the residual error result by using the true model to obtain a normalized residual error result, and taking the normalized residual error result as a decoding frame of the current data frame.
And normalizing the residual results based on inter-frame differentiation, namely performing normalization calculation based on inter-frame differentiation by the DCT domain, transforming the residual values of the DCT domain into residual values of the perception consistent space domain based on the SSIM index of the DCT domain, namely normalizing the residual values, namely obtaining quantized residual values so as to reduce bit occupation.
More specifically, when the transmission code rate of the video to be compressed is adjusted, the method specifically includes the following steps:
checking whether the uplink average transmission speed is smaller than the terminal video code rate, and if the uplink average transmission speed is smaller than the receiving terminal video code rate, performing frame extraction processing on the dynamic frame and the static frame according to a preset adjustment range;
and if the uplink average transmission speed is greater than or equal to the video code rate of the receiving terminal, adjusting the transmission code rate of the video to be compressed to the video code rate of the receiving terminal.
When the uplink average transmission rate is smaller than the video code rate of the receiving terminal, the uplink average transmission rate is too small, and the video code rate of the receiving terminal is too large, the uplink end cannot timely transmit the video code stream to the terminal, and further uplink data link congestion and video jamming are caused; at this time, the current video code rate of the terminal needs to be reduced according to a preset adjustment range.
More specifically, when the frame extraction processing is performed on the dynamic frame and the static frame according to the preset adjustment range, the method specifically includes the following steps:
setting a static frame extraction number for a static frame and a dynamic frame extraction number for a dynamic frame;
performing static frame extraction processing on the static frame according to the set static frame extraction number; and carrying out dynamic frame extraction processing on the dynamic frames according to the set dynamic frame extraction number.
The ratio of the extracted frame number in the static frame to the original static frame is far smaller than the ratio of the extracted frame number in the dynamic frame to the original dynamic frame.
In a second aspect, a medical image data compression transmission system is provided, including:
splitting module: the method comprises the steps of extracting static frames and dynamic frames in a video to be compressed;
compression training module: a decoded frame for determining a dynamic frame using the data compression network;
and (3) packaging a module: the method comprises the steps of determining a compressed dynamic frame and the static frame according to a decoded frame, and respectively compressing and packaging to obtain a compressed target video;
an uplink transmission speed acquisition module: the method is used for acquiring the transmission speed of the uplink module;
terminal video code speed acquisition module: the method is used for acquiring the video code rate of the receiving terminal.
The medical image data compression and transmission system provided by the invention corresponds to the medical image data compression and transmission method provided by the foregoing embodiments, and the relevant technical features of the medical image data compression and transmission system can refer to the relevant technical features of the medical image data compression and transmission method, which are not described herein again.
More specifically, the method comprises the steps of,
and a frame extraction module: the method is used for setting static frame extraction number for static frames, setting dynamic frame extraction number for dynamic frames, and respectively carrying out frame extraction treatment on the static frames and the dynamic frames according to the set static frame extraction number and the set dynamic frame extraction number.
In a third aspect, an electronic device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the medical image data compression transmission method when executing the program.
The memory may include, among other things, mass storage for data or instructions. By way of example, and not limitation, the memory may comprise a hard disk drive, floppy disk drive, solid state drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or universal serial bus drive, or a combination of two or more of the foregoing. The memory may include removable or non-removable (or fixed) media, where appropriate. The memory may be internal or external to the data processing apparatus, where appropriate. In a particular embodiment, the memory is a non-volatile memory. In particular embodiments, the Memory includes Read-Only Memory (ROM) and random access Memory. The ROM may be mask programmed ROM, programmable ROM (PROM for short), erasable PROM, electrically rewritable ROM or FLASH Memory (FLASH), or a combination of two or more of these, where appropriate. The RAM may be static random access memory) or dynamic random access memory (Dynamic Random Access Memory, simply DRAM) where the DRAM may be a fast page mode dynamic random access memory, extended data output dynamic random access memory, synchronous dynamic random access memory, or the like, where appropriate.
The memory may be used to store or cache various data files that need to be processed and/or communicated, as well as possible computer program instructions for execution by the processor.
The processor reads and executes the computer program instructions stored in the memory to implement any of the medical image data compression transmission methods of the above embodiments.
In a fourth aspect, a non-transitory computer readable storage medium is provided, on which a computer program is stored, which when executed by a processor, implements the medical image data compression transmission method.
The readable storage medium includes flash memory, a removable hard disk, a multimedia card, a card type memory, a magnetic disk, an optical disk, and the like. The readable storage medium may in some embodiments be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. The readable storage medium may in other embodiments also be an external storage device of the electronic device, such as a plug-in mobile hard disk, a smart memory card, a secure digital card, a flash memory card, etc. provided on the electronic device. The readable storage medium may also include both internal storage units and external storage devices of the electronic device. The readable storage medium may be used not only to store application software installed in an electronic device and various types of data, but also to temporarily store data that has been output or is to be output.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention, and are intended to be included within the scope of the appended claims and description.
Claims (10)
1. The medical image data compression transmission method is characterized by comprising the following steps:
obtaining multi-frame image data from a video to be compressed, dividing the multi-frame image data into a static frame and a dynamic frame, and marking the static frame and the dynamic frame according to a time sequence;
acquiring any data frame, if the extracted current data frame is the first frame data, carrying out image coding on the data frame, and determining a decoding frame of the first frame data; if the extracted current data frame is not the first frame data, determining a decoding frame of the current data frame according to the multi-frame image data combined with the data compression network;
and respectively compressing the compressed dynamic frame and the static frame according to the decoded frame, and adjusting the transmission code rate of the video to be compressed based on the uplink average transmission speed and the video code rate of the receiving terminal.
2. The medical image data compression transmission method according to claim 1, wherein the data compression network includes a feature extraction network, a residual processing network, and a frame reconstruction network, the residual extraction network including: the system comprises a first pyramid network, a second pyramid network and a three-dimensional convolution network, wherein the first pyramid network and the second pyramid network are of symmetrical structures.
3. The medical image data compression transmission method according to claim 2, wherein when determining the decoding frame of the current data frame according to the multi-frame image data in combination with the data compression network, the method specifically comprises the following steps:
inputting the decoded frames of the multi-frame image data and the first frame data into the first pyramid network for convolution processing to obtain a first convolution characteristic and at least one middle convolution characteristic;
inputting the first convolution feature and at least one middle convolution feature into the second pyramid network to perform feature fusion processing to obtain a second convolution feature;
and inputting the second convolution characteristic into the three-dimensional convolution network, and taking a residual result as a decoded frame of the current data frame.
4. A medical image data compression transmission method according to claim 3, wherein when the residual result is used as the decoded frame of the current data frame, the method specifically comprises the following steps:
constructing a quantization matrix at a frame level based on inter-frame differentiation;
combining the quantization matrix with inter-frame differentiation to obtain a true model;
and carrying out normalization calculation on the residual error result by using the true model to obtain a normalized residual error result, and taking the normalized residual error result as a decoding frame of the current data frame.
5. The medical image data compression transmission method according to claim 1, wherein the adjusting the transmission rate of the video to be compressed specifically comprises the following steps:
checking whether the uplink average transmission speed is smaller than the terminal video code rate, and if the uplink average transmission speed is smaller than the receiving terminal video code rate, performing frame extraction processing on the dynamic frame and the static frame according to a preset adjustment range;
and if the uplink average transmission speed is greater than or equal to the video code rate of the receiving terminal, adjusting the transmission code rate of the video to be compressed to the video code rate of the receiving terminal.
6. The medical image data compression transmission method according to claim 5, wherein when the frame extraction processing is performed on the dynamic frame and the static frame according to the preset adjustment range, the method specifically comprises the following steps:
setting a static frame extraction number for a static frame and a dynamic frame extraction number for a dynamic frame;
performing static frame extraction processing on the static frame according to the set static frame extraction number; and carrying out dynamic frame extraction processing on the dynamic frames according to the set dynamic frame extraction number.
7. A medical image data compression transmission system, comprising:
splitting module: the method comprises the steps of extracting static frames and dynamic frames in a video to be compressed;
compression training module: a decoded frame for determining a dynamic frame using the data compression network;
and (3) packaging a module: the method comprises the steps of determining a compressed dynamic frame and the static frame according to a decoded frame, and respectively compressing and packaging to obtain a compressed target video;
an uplink transmission speed acquisition module: the method is used for acquiring the transmission speed of the uplink module;
terminal video code speed acquisition module: the method is used for acquiring the video code rate of the receiving terminal.
8. The medical image data compression transmission system of claim 7, wherein,
and a frame extraction module: the method is used for setting static frame extraction number for static frames, setting dynamic frame extraction number for dynamic frames, and respectively carrying out frame extraction treatment on the static frames and the dynamic frames according to the set static frame extraction number and the set dynamic frame extraction number.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the medical image data compression transmission method of any one of claims 1 to 6 when the program is executed by the processor.
10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the medical image data compression transmission method according to any one of claims 1 to 6.
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