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Non-rigid multimode medical image precise registering method

A medical image, accurate registration technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as poor registration accuracy

Active Publication Date: 2013-10-09
维视医学影像有限公司
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Problems solved by technology

The method proposed by the invention can effectively extract the feature information of the image to be registered, and overcome the disadvantages of poor registration accuracy of the existing method

Method used

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  • Non-rigid multimode medical image precise registering method
  • Non-rigid multimode medical image precise registering method
  • Non-rigid multimode medical image precise registering method

Examples

Experimental program
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example

[0081] This example uses T1-MRI, T2-MRI, and PD-MRI images with a size of 256×212 from the BrainWeb database, where T1-MRI and PD-MRI are deformed images, that is, floating images, and T2-MRI is the original image, i.e. a reference image such as figure 2 shown. Its registration accuracy is determined by the target registration error TRE with simulated deformation as the gold standard d and the target registration error TRE with anatomical landmarks as the gold standard l Make an evaluation.

[0082] Target registration error TRE with simulated deformation as gold standard d It can be expressed as:

[0083] TRE d = | | T s ( M ) - T c ( M ...

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Abstract

The invention discloses a non-rigid multimode medical image precise registering method. The non-rigid multimode medical image precise registering method includes the following steps that normalization processing is performed on a reference image and a floating image. A pulse sending cortex model is used for processing so as to obtain two ignition mapping images. A Sobel operator is used for respectively abstracting edge features of the two ignition mapping images to obtain corresponding gradient images. A sum of squareddifferences of the two gradient images is calculated out. Finally, based on a free grid deformation model and the sum of squareddifferences a target function is determined. A quasi-Newton method is used for performing iterative optimization on the target function to obtain optimal deformation parameters. According to the non-rigid multimode medical image precise registering method, the pulse sending cortex model and the sum of squareddifferences are used for performing non-rigid multimode medical image registering and registering precision is greatly improved.

Description

technical field [0001] The invention belongs to the field of image registration in image analysis and processing, and more specifically relates to a method for precise registration of non-rigid multi-mode medical images. Background technique [0002] With the development of computer technology and graphics and imaging, medical imaging technology has also been continuously improved. Because different medical imaging devices have their own use ranges and limitations, it is difficult to obtain correct diagnostic conclusions by using a certain type of image alone. The fusion of multiple modes of medical images, making full use of the characteristics of the image itself to achieve information complementarity, is of great importance to improving medical imaging diagnosis. accuracy is of great importance. Because the imaging orientation, angle, and resolution of the multimodal images to be fused may be quite different, in order to achieve effective medical image fusion, the multim...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/33
Inventor 张旭明杨峰钱烨冯建滨吴意朱玉坤丁明跃
Owner 维视医学影像有限公司
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