Brain magnetic resonance image supervoxel generating method based on iterative spatial fuzzy clustering

A magnetic resonance image and fuzzy clustering technology, applied in the field of digital images, can solve problems such as ignoring the special properties of brain magnetic resonance images

Active Publication Date: 2018-07-20
SOUTHEAST UNIV
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Problems solved by technology

However, generating suitable supervoxels for brain MRI images remains challenging in brain MRI image analysis
It is obviously inappropriate to simply use existing algorithms to generate brain MRI image supervoxels, because these algorithms for natural images ignore the special properties of brain MRI images

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  • Brain magnetic resonance image supervoxel generating method based on iterative spatial fuzzy clustering
  • Brain magnetic resonance image supervoxel generating method based on iterative spatial fuzzy clustering
  • Brain magnetic resonance image supervoxel generating method based on iterative spatial fuzzy clustering

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Embodiment

[0067] The BrainWeb18 data set data is taken as an example below to illustrate the brain MRI supervoxel generation algorithm of iterative spatial fuzzy clustering of the present invention.

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Abstract

The invention discloses a brain magnetic resonance image supervoxel generating method based on iterative spatial fuzzy clustering. The method comprises the steps of firstly, obtaining a set of seed templates from a brain MRI template based on the population since human brains have the same topological structure, secondly, providing an iterative space fuzzy clustering algorithm in order to eliminate the influence of partial volume effects, distributing the voxels to each seed to generate supervoxels. The method can be well applied to brain magnetic resonance images and generate effective brainmagnetic resonance image supervoxels.

Description

technical field [0001] The invention relates to an iterative space fuzzy clustering brain magnetic resonance image supervoxel generation method, which belongs to the field of digital images. Background technique [0002] Supervoxel technology is the process of aggregating voxels with highly redundant features into meaningful uniform regions. Compared with the traditional basic unit of image processing, voxel, image analysis and processing based on a certain number of supervoxels can achieve better results and greatly improve efficiency. The local regions of brain MRI images are smooth, which makes them suitable for supervoxel segmentation of brain MRI images. Recently, supervoxel techniques have been increasingly applied to the analysis of brain MRI images, and have shown quite good performance in some applications, such as tumor localization and segmentation, tissue segmentation, image registration, and functional grouping, etc. Therefore, a good supervoxel segmentation m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/33G06K9/62
CPCG06T7/344G06T2207/10088G06T2207/30016G06F18/23
Inventor 孔佑勇吴飞任洲甫左雨林沈傲东伍家松舒华忠
Owner SOUTHEAST UNIV
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