Perfusion image analysis method and system, electronic equipment and storage medium
An analysis method and image technology, applied in image analysis, neural learning method, image enhancement and other directions, can solve the problems of low analysis efficiency, information loss, slow calculation, etc., to improve analysis efficiency, improve calculation speed, and avoid loss. Effect
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Embodiment 1
[0057]This embodiment provides a perfusion image analysis method. It can analyze perfusion images to obtain useful or diagnostic analysis results. The perfusion image is an image obtained by perfusion imaging (PWI), such as a CT (Computed Tomography, computerized tomography) perfusion (CTP) image. According to the tissues and organs of the perfusion imaging, the CTP images may include brain CTP images, liver CTP images, heart CTP images, and the like.
[0058] figure 1 A perfusion image analysis method of this embodiment is shown. The method includes the following steps:
[0059] Step 11: Obtain perfusion image data.
[0060] Step 12: Input the perfusion image data into the data analysis model, and obtain the output result of the data analysis model. The data analysis model is used to predict and output perfusion parameters and target region segmentation results based on the input perfusion image data.
[0061] Wherein, the perfusion image data can be CT perfusion image ...
Embodiment 2
[0121] This embodiment provides a perfusion image analysis system. Figure 7 A perfusion image analysis system is shown, which includes:
[0122] A data acquisition unit 21, configured to acquire perfusion image data;
[0123] The data analysis unit 22 is configured to input the perfusion image data into the data analysis model to obtain an output result of the data analysis model, and the data analysis model is used to predict and output perfusion parameters and target region segmentation results based on the input perfusion image data.
[0124] In an optional manner, the data analysis model is constructed based on a neural network and trained according to sample perfusion image data and corresponding gold standard data. The gold standard data includes perfusion parameter gold standard data and target region segmentation gold standard data.
[0125] In an optional form, the neural network comprises a recurrent neural network;
[0126] In the data analysis unit 22, the perfu...
Embodiment 3
[0141] Figure 8 A schematic structural diagram of an electronic device provided in this embodiment. The electronic device includes a memory, a processor, and a computer program stored in the memory and operable on the processor, and the method of Embodiment 1 is implemented when the processor executes the program. Figure 8 The electronic device 30 shown is only an example, and should not limit the functions and scope of use of the embodiments of the present invention.
[0142] Electronic device 30 may take the form of a general-purpose computing device, which may be a server device, for example. Components of the electronic device 30 may include, but are not limited to: at least one processor 31 , at least one memory 32 , and a bus 33 connecting different system components (including the memory 32 and the processor 31 ).
[0143] The bus 33 includes a data bus, an address bus, and a control bus.
[0144] The memory 32 may include a volatile memory, such as a random access...
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