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Non-rigid heart image grading and registering method based on optical flow field model

An optical flow field, non-rigid technology, applied in the field of image processing, can solve the problems that the topological structure cannot be guaranteed not to change, and the noise is not removed in advance.

Active Publication Date: 2012-10-10
INNER MONGOLIA UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this technology cannot guarantee that the topological structure of the image does not change, and the influence of noise is not removed in advance.

Method used

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  • Non-rigid heart image grading and registering method based on optical flow field model
  • Non-rigid heart image grading and registering method based on optical flow field model
  • Non-rigid heart image grading and registering method based on optical flow field model

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Embodiment 1

[0054] In this embodiment, time-series cardiac CT images with an image size of 256×256 are used, and the time interval is relatively short, which are adjacent frames;

[0055] Such as figure 1 As shown, this embodiment includes the following steps:

[0056] Step 1: First, the image to be registered is normalized, and then the image is enlarged to twice the original size, and pre-filtered to remove noise. Here, the median filter is used to filter out pulse interference and image scanning noise. The obtained image is used as the bottom layer of the Gaussian image pyramid, that is, the first layer of the first order, and the SIFT feature vector is generated. The specific steps are as follows:

[0057] 1.1) Establish a scale space and perform extreme value detection in the scale space.

[0058] The Gaussian kernel function is used to perform scale transformation on the image to be registered to obtain the scale space representation sequence under multiple scales of the image, an...

Embodiment 2

[0153] In this embodiment, a time-series cardiac image with an image size of 512×512 is used, and the time interval is longer than that of the previous group, which is an interval frame. The computer configuration used in the experiment is Intel Core 2 Duo CPU, memory 2G, main frequency 2.4GHz.

[0154] Embodiment 2 steps are identical with embodiment 1.

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Abstract

The invention discloses a non-rigid heart image grading and registering method based on an optical flow field model, which belongs to the technical field of image processing. The method comprises the following steps of: obtaining an affine transformation coefficient through the scale invariant characteristic vectors of two images, and obtained a rough registration image through affine transformation; and obtaining bias transformation of the rough registration image by using an optical flow field method, and interpolating to obtain a fine registration image. In the non-rigid heart image grading and registering method, an SIFT (Scale Invariant Feature Transform) characteristic method and an optical flow field method are complementary to each other, the SIFT characteristic is used for making preparations for increasing the converging speed of the optical flow field method, and the registration result is more accurate through the optical flow field method; and the characteristic details of a heart image are better kept, higher anti-noising capability and robustness are achieved, and an accurate registration result is obtained. Due to the adopted difference value method, a linear difference value and a central difference are combined, and final registration is realized by adopting a multi-resolution strategy in the method simultaneously.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to a non-rigid heart image hierarchical registration method based on an optical flow field model. Background technique [0002] Medical image registration is an important technology in medical image analysis and the basis of medical image fusion. Medical image registration mainly seeks a spatial transformation, so that the corresponding points on the two medical images achieve the exact same spatial position or anatomical structure. In the process of medical diagnosis, due to practical problems such as physical mechanisms, patient movement, changes in imaging parameters, and different resolutions of different imaging devices, images in different modes show different properties. Or the spatial alignment of two sets of images of different modes will be subject to many limitations, and usually has a large subjectivity, and errors will inevitably occur. Especially...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T3/40
Inventor 吕晓琪赵永洁张宝华
Owner INNER MONGOLIA UNIV OF SCI & TECH
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