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Hippocampus extraction method of human brain nuclear magnetic resonance image based on 3D neural network

A nuclear magnetic resonance and neural network technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve the problems of time-consuming and low precision, and achieve the goal of enhancing the discrimination ability, reducing time, and efficient automatic and accurate segmentation. Effect

Active Publication Date: 2020-04-07
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

[0004] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides a method for extracting the hippocampus of a human brain MRI image based on a 3D neural network, aiming to solve the time-consuming and excessive automatic segmentation technology of the hippocampus in the existing human brain MRI image. The problem of long length and low precision

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  • Hippocampus extraction method of human brain nuclear magnetic resonance image based on 3D neural network
  • Hippocampus extraction method of human brain nuclear magnetic resonance image based on 3D neural network
  • Hippocampus extraction method of human brain nuclear magnetic resonance image based on 3D neural network

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[0033] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0034] refer to figure 1 , the embodiment of the present invention provides a method for extracting the hippocampus of a human brain MRI image based on a 3D neural network, comprising the following steps S1 to S5:

[0035] S1. Obtain the original image data set of human brain magnetic resonance images containing 3D labels as a training set, and preprocess the original image data set and labels;

[0036] In this embodiment, the acquired original image data set includes 130 sets of brain MRI hippocampus image files in NIFTI format with a size of 197*233*189.

[0037] The following preprocesses t...

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Abstract

The invention discloses a hippocampus extraction method of a human brain nuclear magnetic resonance image based on a 3D neural network. The method comprises the following steps: preprocessing an original image data set and a label, constructing a 3D hippocampus segmentation neural network model, defining a boundary enhancement loss function, optimizing the boundary enhancement loss function, and detecting a preprocessed to-be-detected image by using the trained 3D hippocampus segmentation neural network model to obtain a hippocampus extraction result. According to the method, the 3D hippocampus segmentation neural network model is utilized, efficient, automatic and accurate segmentation of the hippocampus structure in human brain MRI is achieved, and the time for a doctor to perform earlydiagnosis on Alzheimer's disease can be shortened.

Description

technical field [0001] The invention belongs to the technical field of hippocampus segmentation, and in particular relates to a method for extracting hippocampus of a human brain MRI image based on a 3D neural network. Background technique [0002] The hippocampal structure is an important organizational structure in the human brain, and its morphological analysis is crucial for detecting and diagnosing clinical conditions of the brain. The structure of the hippocampus is associated with memory mechanisms, and its morphological changes have been closely linked to Alzheimer's disease and other neurological diseases. Estimating hippocampus atrophy from magnetic resonance images (MRI) is considered to be one of the key techniques for diagnosing Alzheimer's disease. However, due to factors such as the small size of the hippocampus in the brain, its complex shape, and indistinct boundaries with surrounding structures, manual segmentation of the hippocampal structure in brain MRI...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/10G06N3/04G06N3/08
CPCG06T7/10G06N3/084G06T2207/10088G06T2207/20081G06T2207/20192G06T2207/30016G06N3/045
Inventor 和红杰颜宇陈帆
Owner SOUTHWEST JIAOTONG UNIV
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