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Brain disease identification method based on multistage partition bag-of-words model

A bag-of-words model and partitioning technology, applied in the field of medical image processing, can solve the problem of underutilization of location information

Active Publication Date: 2016-07-20
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

The above-mentioned bag-of-words model is mainly implemented based on the whole brain or a fixed area, and the location information is not fully utilized

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  • Brain disease identification method based on multistage partition bag-of-words model

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Embodiment Construction

[0022] The technical problems solved by the embodiments of the present invention, the technical solutions adopted, and the technical effects achieved will be described clearly and completely below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only a part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other equivalent or obviously modified embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention. Embodiments of the invention can be embodied in a number of different ways as defined and covered by the claims.

[0023] It should be noted that, in the following description, for the convenience of understanding, many specific details are given. It is apparent, however, that the present invention may be practiced without these specific details.

[002...

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Abstract

The invention discloses a brain disease identification method based on a multistage partition bag-of-words model. The method comprises the following steps: preprocessing brain magnetic resonance structure images of each sample in a training sample set and a test sample set; next, based on a standard brain template, two-dimensional magnetic resonance structure images of each sample of the training sample set and each sample of the test sample set, respectively extracting structural features; then, performing multistage brain partition on the standard brain template; for the structural features of the standard template, respectively constructing a partition bag of words in each partition by use of a supervision-free clustering method; then, by use of the partition bags of words of each grade, constructing a bag-of-words histogram of each grade of each sample; and finally, by use of the bag-of-words histograms of each grade, establishing a multistage classifier for classifying the test samples so as to realize brain disease identification. The brain magnetic resonance structure image classification method based on the multistage partition bag-of-words model, provided by the embodiment of the invention, carries out disease identification and individual attribute determining and provides assistance for brain disease clinic analysis diagnosis.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of medical image processing, in particular to a brain disease recognition method based on a multi-level partition bag-of-words model. Background technique [0002] As a non-invasive brain imaging method, magnetic resonance imaging has been widely used in the study of brain diseases. Accurate diagnosis of brain diseases plays a positive role in disease treatment. Using magnetic resonance structural images to objectively assess disease status and assist medical diagnosis has become a hot spot in current research. [0003] The representation of magnetic resonance structural images by using the local structural features of images has attracted attention. The bag-of-words model is an image representation method based on local features. Its basic idea is to represent the image with the probability distribution (histogram) of local features (visual words). The bag-of-words model is wide...

Claims

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Application Information

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IPC IPC(8): G06K9/54G06K9/46G06K9/62
CPCG06V10/464G06V10/20G06V2201/03G06F18/285G06F18/23G06F18/2411
Inventor 张文生李悟李涛
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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