Fully automatic segmentation method for lung parenchyma CT images

A technology of CT images and lung parenchyma, applied in the field of medical image processing, can solve problems such as difficult to achieve complete and accurate segmentation of CT images of lung parenchyma, and achieve the effects of assisting in the diagnosis of lung diseases, ensuring accuracy, and avoiding duplication of work

Active Publication Date: 2019-03-01
SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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Problems solved by technology

However, this patent only realizes the elimination of the trachea of ​​the lung parenchyma template in the CT image, and does not involve the elimination of the trachea of ​​the lung parenchyma template and the subsequent boundary repair. It is difficult to achieve a complete and accurate segmentation of the lung parenchyma CT image

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  • Fully automatic segmentation method for lung parenchyma CT images
  • Fully automatic segmentation method for lung parenchyma CT images
  • Fully automatic segmentation method for lung parenchyma CT images

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Embodiment Construction

[0037] The present invention will be further described in detail below in conjunction with the embodiments, so that those skilled in the art can implement it with reference to the description.

[0038]It should be understood that terms such as "having", "comprising" and "including" used herein do not exclude the presence or addition of one or more other elements or combinations thereof.

[0039] Such as figure 1 As shown, a kind of automatic segmentation method for lung parenchyma CT image of the present embodiment comprises the following steps:

[0040] Step S1, preliminary extraction of lung parenchyma template.

[0041] This step extracts a preliminary lung parenchyma template from the original CT image, mainly including binarization processing, extrathoracic image removal, region growing, tracheal removal, and cavity filling. details as follows:

[0042] (1) Binarization processing: only retain the images in the range of -1000HU-+1000HU in the original CT image, and the...

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Abstract

The invention discloses a fully automatic segmentation method for lung parenchyma CT images, which is characterized in that the method comprises the following steps: 1) preliminary extraction of lungparenchyma template; 2) full automatic separation of left and right lung; 3) smooth mediastinal surface; 4) Rib surface smoothing. The invention designs a full automatic segmentation method for CT images of lung parenchyma, which can realize full automatic and accurate segmentation of CT images of lung, is helpful for assisting clinicians in diagnosing lung diseases, greatly reduces workload and operation time of doctors, and more quickly and accurately detects lung diseases. The invention also discloses an automatic segmentation method for CT images of lung parenchyma. After obtaining the preliminary pulmonary parenchyma template, the invention carries out the full automatic separation of the left and right lungs, smoothes the mediastinal surface and the costal surface, ensures the accuracy, integrity and robustness of the segmentation result, and assists the clinician in diagnosing lung diseases; as that whole process of the invention does not need manual calibration and parameter setting, the universality and universality of the lung parenchyma CT image segmentation method are ensured.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a fully automatic segmentation method for lung parenchyma CT images. Background technique [0002] With the development of computer tomography (CT) technology and computer image processing technology, computer-aided diagnosis system (Computer-Aided Diagnosis, CAD) provides a new means for accurate, fast and automatic analysis and processing of CT image data. , help to improve the sensitivity and specificity of the doctor's diagnosis. In the study of computer-aided diagnosis of lung diseases, the segmentation of lung parenchyma can eliminate the influence of irrelevant factors (such as chest, heart, examination bed, etc.) in CT images, reduce unnecessary calculations, and the accuracy of segmentation is the most important factor. Quantitative analysis of lung disease, detection of pulmonary nodules and key link in lung function assessment. [0003] The application number ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/155G06T7/187
CPCG06T7/0012G06T7/11G06T7/136G06T7/155G06T7/187G06T2207/10081G06T2207/30061
Inventor 戴亚康杨婧耿辰戴斌周志勇
Owner SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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