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Interactive segmentation method applied to magnetic resonance image putamen

A magnetic resonance image, interactive technology, applied in the field of image processing, can solve the problems of edge leakage, inaccurate segmentation results, etc., and achieve the effect of fast real-time segmentation

Inactive Publication Date: 2014-10-15
SHANDONG UNIV
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Problems solved by technology

[0005] When actually applied to the segmentation of the putamen region of brain magnetic resonance images, Live-Wire and its improved segmentation method based on the idea of ​​the shortest path cannot effectively identify the fuzzy edges outside the putamen, and are easily detected by the edge of the lateral claustrum. Attract, causing edge leakage, resulting in inaccurate segmentation results

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  • Interactive segmentation method applied to magnetic resonance image putamen
  • Interactive segmentation method applied to magnetic resonance image putamen
  • Interactive segmentation method applied to magnetic resonance image putamen

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Embodiment Construction

[0048] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0049] combine figure 1 , the present invention takes the putamen segmentation in the magnetic resonance image as an example, and the segmentation process goes through the following steps successively:

[0050] Step 1: Use Canny edge guidance to interactively select source and destination nodes in the image;

[0051] Step 2: Estimate the area where the target is located according to the nodes. Since the source node and the target node are set on the edge of the putamen target, and the putamen is anatomically regular, it can be combined with anatomical knowledge and the location of the node Estimate the area where the putamen is located;

[0052] Step 3: According to the parameters, the estimated area is divided into two areas according to the broken line from the source node to the adjustment parameter and then to the target node; ...

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Abstract

The invention provides an interactive segmentation method applied to magnetic resonance image putamen, and belongs to the field of image processing. According to the method, interactive operation is guided for setting a source node and a target node, further, a target region to be segmented is speculated, and a method of reducing the node number is used for generating a node map for a target region of an image to be segmented; cost functions corresponding to different regions and directions are used on the node map, and a weighted directed map is generated for the target region; and a shortest path optimizing method is used for finding two shortest paths from the source node to the target node in the weighted directed map, and a closed profile is formed for completing the segmentation. The interactive segmentation method has the advantages that various strategies are adopted for designing the cost functions; the shortest path searching range is restrained; and the segmentation of the brain magnetic resonance image putamen region can be accurate, fast and stable through reducing the node number and guiding the interactive operation.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a segmentation method applied to a putamen target in the basal ganglia region of a brain magnetic resonance image. Background technique [0002] Image segmentation is a prerequisite for image analysis, understanding, and 3D visualization, and it is an image processing technique to extract specific objects from a given image. At present, many scholars have carried out research on medical image segmentation methods, and corresponding image segmentation methods and technologies have been and continue to be proposed; [0003] Compared with other interactive segmentation methods, the interactive segmentation method based on the idea of ​​the shortest path can obtain better segmentation results with only a few interactive operations, and has a high degree of attention and wide application in the field of medical image segmentation. The shortest path problem is a problem in ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 董恩清李贞国杨佩孙文燕仲伟冲孙华魁
Owner SHANDONG UNIV
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