MRI (Magnetic Resonance Imaging) hippocampus segmentation method and system based on hypergraph numerical neural membrane system

A technology of neuromembrane and hippocampus, which is applied in the MRI hippocampus segmentation method and system field, can solve problems such as limiting the application of the neuromembrane system, and achieve the effect of improving learning ability and performance

Pending Publication Date: 2022-04-15
SHANDONG NORMAL UNIV
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Problems solved by technology

However, the current neural membrane system is a two-dimensional graph structure, in which neurons can only exchange information with connected neurons, and cannot use a hierarc

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  • MRI (Magnetic Resonance Imaging) hippocampus segmentation method and system based on hypergraph numerical neural membrane system
  • MRI (Magnetic Resonance Imaging) hippocampus segmentation method and system based on hypergraph numerical neural membrane system
  • MRI (Magnetic Resonance Imaging) hippocampus segmentation method and system based on hypergraph numerical neural membrane system

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Embodiment 1

[0052] Such as figure 1 As shown, the present embodiment provides an MRI hippocampus segmentation method based on the hypergraph numerical neural membrane system, which specifically includes the following steps:

[0053] Step 1. Obtain the MR image to be segmented.

[0054] Step 2. Input the MR image to be segmented into the Hypergraph Numerical Neural (HNN) membrane system to obtain the hippocampus segmentation result. Wherein, the numerical neural membrane system based on a hypergraph includes a hyperneuron, and an encoder and a decoder composed of a plurality of basic neurons, and the encoder and decoder are used to learn the upsampling and downsampling features of the hippocampus in the MR image, The superneurons are used for jumping and serial fusion between the encoder and decoder, or for inputting images and outputting results (only e5 is used for inputting MR images and outputting segmentation results).

[0055] Such as figure 2 as shown, figure 2 The left graph ...

Embodiment 2

[0143] The present embodiment provides the MRI hippocampus segmentation system based on the hypergraph numerical neural membrane system, which specifically includes the following modules:

[0144] An image acquisition module configured to: acquire an MR image to be segmented;

[0145] The hippocampus segmentation module is configured to: input the MR image to be segmented based on the hypergraph numerical neural membrane system to obtain the hippocampus segmentation result;

[0146] Wherein, the numerical neural membrane system based on a hypergraph includes a hyperneuron, and an encoder and a decoder composed of a plurality of basic neurons, and the encoder and decoder are used to learn the upsampling and downsampling features of the hippocampus in the MR image, The superneurons are used for skip and cascade fusion between encoder and decoder.

[0147] It should be noted here that each module in this embodiment corresponds to each step in Embodiment 1, and the specific imple...

Embodiment 3

[0149] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the MRI hippocampus segmentation method based on the hypergraph numerical neural membrane system as described in the first embodiment is implemented. A step of.

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Abstract

The invention provides an MRI (Magnetic Resonance Imaging) hippocampus segmentation method and system based on a hypergraph numerical neural P system. The method comprises the following steps: acquiring an MR image to be segmented; inputting the MR image to be segmented into the hypergraph-based numerical neural P system to obtain a hippocampus segmentation result; wherein the supergraph-based numerical neural membrane system comprises superneurons, and an encoder and a decoder consisting of a plurality of basic neurons, the encoder and the decoder are used for learning up-sampling and down-sampling features of the hippocampus in the MR image, and the superneurons are used for jumping and series fusion between the encoder and the decoder. The high precision of the deep learning model in semantic segmentation is combined with the good parallelism and robustness of the membrane system, and the performance of hippocampus segmentation is improved.

Description

technical field [0001] The invention belongs to the technical field of image segmentation, and in particular relates to an MRI hippocampus segmentation method and system based on a hypergraph numerical neural membrane system. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] The hippocampus is an important brain structure that affects human cognition, memory and emotion. Accurate segmentation of the hippocampus can help identify early atrophy of the hippocampus, which helps doctors predict and diagnose various neurological diseases, such as Alzheimer's disease ( AD), epilepsy, and schizophrenia, and developing a treatment plan. However, manual delineation by radiologists takes a lot of time and is often not repeatable. Therefore, an accurate and efficient automatic hippocampal segmentation method is needed. However, the following problems m...

Claims

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Application Information

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IPC IPC(8): G06V10/26G06V10/80G06V10/82G06N3/04G06N3/08G06K9/62
Inventor 薛洁代锦鹏刘希玉
Owner SHANDONG NORMAL UNIV
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