Rapid nodule matching method based on nodule characteristics

A matching method and nodular technology, applied in image data processing, instruments, calculations, etc., can solve problems such as misjudgment, time-consuming, and iterative algorithm calculations, and achieve the goal of making up for errors and reducing the time required Effect

Pending Publication Date: 2021-01-22
SHENZHEN IMSIGHT MEDICAL TECH CO LTD
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Problems solved by technology

The rigid body registration of the above-mentioned patent adopts the gradient descent method, and the transformation coefficient is solved through an iterative process, and the iteration takes a lot of time
Moreover, the lung CT image is a relatively large 3D image, which makes the iterative algorithm more computationally intensive and tim

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  • Rapid nodule matching method based on nodule characteristics
  • Rapid nodule matching method based on nodule characteristics
  • Rapid nodule matching method based on nodule characteristics

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Embodiment Construction

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0023] see figure 1 , an embodiment of a fast nodule matching method based on nodule features of the present invention comprises the following steps:

[0024] Step S10, acquiring a first lung CT image and a second lung CT image satisfying preset conditions.

[0025] The present invention acquires lung CT volume data of the same subject at different times or under different detection conditions, and numbers them respectively as a first lung CT image and a second lung CT image....

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Abstract

The invention discloses a rapid nodule matching method based on nodule characteristics. The method comprises the steps that a first lung CT image and a second lung CT image which meet preset conditions are acquired; lung segmentation and lung frame scaling are performed on the first lung CT image and the second lung CT image, so that lung regions of the first lung CT image and the second lung CT image are aligned, and a transfer function is obtained; adjacent nodules of the two CT images are found out according to the transfer function, and a normalized cross correlation coefficient of the adjacent nodules is calculated; and whether the adjacent nodules are matched nodule pairs or not is judged according to the relationship between the normalized cross correlation coefficient and the threshold. According to the invention, a lung alignment method of lung segmentation and lung frame scaling is adopted, so that the time required for lung position alignment caused by an iterative algorithmis greatly reduced.

Description

technical field [0001] The invention relates to a method for matching pulmonary nodules, in particular to a fast nodule matching method based on nodule features. Background technique [0002] The existing nodule matching method mainly aligns the lung regions in the two CT images at different times by performing rigid body or non-rigid body registration on the lung images, so as to align the lung regions in the two images. The position points are matched, and finally the nodules with the closest position are selected as the matched nodule pairs. Chinese patent CN105913442A is a method for automatic matching of pulmonary nodules, which discloses the rigid body registration of two sets of images to align the image position information, obtain the deformation field, and perform nodule matching according to the nodule center and the deformation field. The rigid body registration of the above-mentioned patent adopts the gradient descent method, and the transformation coefficient ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/149G06T7/30G06T5/30G06T5/00G06T3/40
CPCG06T3/40G06T5/002G06T5/30G06T7/0012G06T2207/10081G06T2207/30064G06T7/11G06T7/136G06T7/149G06T7/30
Inventor 陈浩李雁雯钱光武
Owner SHENZHEN IMSIGHT MEDICAL TECH CO LTD
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