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Image processing model training method, magnetic resonance image reconstruction method and device

A magnetic resonance image and image processing technology, which is applied in the field of medical image processing, can solve problems such as the inability to apply a complete set of scanning sequences, and achieve a highly universal effect

Pending Publication Date: 2021-12-24
SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a training method and device for image processing models, a magnetic resonance image reconstruction method and device, electronic Equipment and storage media

Method used

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  • Image processing model training method, magnetic resonance image reconstruction method and device
  • Image processing model training method, magnetic resonance image reconstruction method and device
  • Image processing model training method, magnetic resonance image reconstruction method and device

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Experimental program
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Embodiment 1

[0043] figure 1 A schematic flow chart of an image processing model training method provided in this embodiment, the image processing model training method can be executed by an image processing model training device, and the image processing model training device can use software and / or hardware The training device for the image processing model may be part or all of the electronic equipment. Wherein, the electronic device in this embodiment can be a personal computer (Personal Computer, PC), such as a desktop computer, an all-in-one computer, a notebook computer, a tablet computer, etc., and can also be a mobile phone, a wearable device, and a personal digital assistant (PDA). ) and other terminal equipment. The following describes the training method of the image processing model provided in this embodiment by taking the electronic device as the execution subject.

[0044] Such as figure 1 As shown, the image processing model training method provided in this embodiment m...

Embodiment 2

[0078] image 3 A schematic flowchart of a magnetic resonance image reconstruction method provided in this embodiment, the magnetic resonance image reconstruction method can be executed by a magnetic resonance image reconstruction device, and the magnetic resonance image reconstruction device can be implemented by software and / or hardware, the MRI image reconstruction can be part or all of the electronic equipment. Wherein, the electronic device in this embodiment may be a personal computer, such as a desktop computer, an all-in-one computer, a notebook computer, a tablet computer, etc., and may also be a terminal device such as a mobile phone, a wearable device, or a handheld computer. The method for reconstructing a magnetic resonance image provided by this embodiment will be described below with the electronic device as the execution subject.

[0079] Such as image 3 As shown, the magnetic resonance image reconstruction method provided in this embodiment may include the ...

Embodiment 3

[0100] Figure 7 A schematic structural diagram of an electronic device provided in this embodiment. The electronic device includes 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, and the computer program is executed by the at least one processor, so that the at least one processor can execute the image processing model of Embodiment 1 The training method or the magnetic resonance image reconstruction method of embodiment 2. The electronic device provided in this embodiment may be a personal computer, such as a desktop computer, an all-in-one computer, a notebook computer, a tablet computer, etc., and may also be a terminal device such as a mobile phone, a wearable device, or a handheld computer. Figure 7 The electronic device 3 shown is only an example, and should not impose any limitation on the functions and application scope of the embodimen...

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Abstract

The invention discloses an image processing model training method and a magnetic resonance image reconstruction method and device. Wherein positive and negative samples are constructed according to the MRI image data of different collection parameters, specifically, the collection parameters of the MRI image data in the positive sample are the same, the collection parameters of the MRI image data in the positive sample are different from the collection parameters of the MRI image data in the negative sample, and an image processing model is trained based on a training sample by using a comparative learning algorithm. The features for distinguishing positive and negative samples can be learned, so that the distance between the positive samples is shortened, namely, the difference between the positive samples is reduced, and the distance between the positive and negative samples is increased, namely, the difference between the positive and negative samples is increased. Furthermore, the MRI image data of different collection parameters can be reconstructed based on the image processing model obtained by training, so that the method is compatible with different use environments and has high universality.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to an image processing model training method and device, a magnetic resonance image reconstruction method and device, electronic equipment and a storage medium. Background technique [0002] Magnetic resonance imaging (Magnetic Resonance Imaging, MRI) technology has been widely used in disease diagnosis and scientific research. It has a good imaging effect on soft tissues and can provide rich diagnostic information. However, the disadvantage of magnetic resonance imaging technology is that the imaging speed is slow, because the data of magnetic resonance images are acquired sequentially in K space, and the traversal speed in K space is limited by the hardware scanning system and the Nyquist sampling theorem Due to the limitation of MRI, the sampling time in K space is too long. And because the MRI process is based on a relatively closed space, too long imaging time will lead...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06T7/10G06T11/00
CPCG06T11/003G06T7/10G06T2207/10088G06T2207/20081G06F18/214G06F18/24
Inventor 杨海波廖术
Owner SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
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