Method and system for three-dimensional segmentation and feature extraction of pulmonary nodules

A technology for feature extraction and pulmonary nodules, applied in the field of three-dimensional segmentation and feature extraction methods and systems for pulmonary nodules based on chest CT, can solve problems such as interference, reduce interference, improve accuracy, and reduce the occurrence of false positive nodules The effect of the probability of

Inactive Publication Date: 2011-11-30
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

For example, the patent document with publication number CN101556650A directly extracts features from the region of interest, such as lobulation sign and cavity sign, without obtaining the boundaries of pulmonary nodules, but the region of interest also contains other normal tissues. These tissue characteristics Feature extraction for regions of interest can be disruptive

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  • Method and system for three-dimensional segmentation and feature extraction of pulmonary nodules
  • Method and system for three-dimensional segmentation and feature extraction of pulmonary nodules
  • Method and system for three-dimensional segmentation and feature extraction of pulmonary nodules

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Embodiment

[0154] Several parameters are involved in the three-dimensional segmentation and feature extraction system of pulmonary nodules proposed by the present invention. These parameters should be comprehensively adjusted and set according to the characteristics of the specific processed data to achieve good performance of the overall system. The data processed by the present invention are listed here Parameters set for collections:

[0155] Step (2.1) When determining the scale range and the number of candidate scales of the shape-selective enhancement filter, the diameter range of the object to be enhanced is [d 0 = 3mm, d 1 =30mm], the number of candidate scales N 1 Take 5.

[0156] When step (2.3) selects the seed region on the three-dimensional multi-scale spherical selective enhancement filter image, the selected filtering threshold T 2 for 30. At the same time, the growth times threshold T 3 The value is 5.

[0157] Step (3.2) When judging whether the area surrounded by ...

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Abstract

The invention belongs to the application field of computer analysis technology of medical images, and is a method and system for three-dimensional segmentation and feature extraction of pulmonary nodules based on chest CT. The present invention uses a three-dimensional space-based level set method to segment pulmonary nodules in a three-dimensional region of interest, and extracts nodule features in combination with the pulmonary nodule boundary surface and the characteristics of the region of interest. The invention comprises a lung region segmentation module, a three-dimensional interested region extraction module, a pulmonary nodule three-dimensional segmentation module, a nodule feature extraction and quantification module and an output module. The invention makes full use of the three-dimensional space information of the HRCT image, can reduce the interference of normal tissues around the nodules on its segmentation and feature extraction, and improves the accuracy of feature extraction.

Description

technical field [0001] The invention belongs to the application field of computer analysis technology of medical images, and in particular relates to a method and system for three-dimensional segmentation and feature extraction of pulmonary nodules based on chest CT. Background technique [0002] With the continuous deterioration of the environment caused by air pollution and the large increase in the smoking population, the incidence and mortality of lung diseases are also increasing year by year. Lung cancer is the number one cause of cancer death in both men and women in most countries around the world. In my country, the number of patients with lung cancer has increased by about 120,000 in the past 5 years; 1 out of every 4 cancer deaths is a lung cancer patient. Since the lung lesions are difficult to be detected in the early stage, by the time clinical symptoms appear and seek medical treatment, most patients have already reached the middle and late stages of the dise...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 刘宏金人超宋恩民余玛俐
Owner HUAZHONG UNIV OF SCI & TECH
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