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Bone inhibition method based on training sample optimization

A bone suppression and training sample technology, applied in image data processing, instruments, calculations, etc., can solve problems such as unsatisfactory results, complex rib structure, and many overlapping parts

Inactive Publication Date: 2014-11-26
SHENYANG AEROSPACE UNIVERSITY
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AI Technical Summary

Problems solved by technology

However, due to the complex structure of the ribs and many overlapping parts, it is difficult to accurately segment the ribs, and the effect is not ideal

Method used

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  • Bone inhibition method based on training sample optimization
  • Bone inhibition method based on training sample optimization
  • Bone inhibition method based on training sample optimization

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Experimental program
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Embodiment Construction

[0047] In order to further understand the skeletal suppression method optimized based on training samples, the description is as follows with reference to the accompanying drawings.

[0048] The steps are as follows:

[0049] Step 1: Optimally segment the lung region according to the grayscale and shape information of the image.

[0050] Firstly, a prior model of the lung contour is established, and then the lung region is segmented by using the gray level and shape similarity information combined with image features.

[0051] 1: Determination of the initial contour position of the model;

[0052] 1.1: Mark the boundary points of the lung boundaries of each image in the training set;

[0053] 1.2: The training samples are aligned about a set of coordinate axes. The training samples include n chest x-ray images, and the lung contours in the n chest x-ray images are marked and aligned. The alignment steps are as follows:

[0054] 1.2.1: Rotate, scale and translate each lung reg...

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Abstract

Disclosed is a bone inhibition method based on training sample optimization. The method is characterized by comprising the following steps: 1, according to image gray scale and shape information, carrying out optimal segmentation on a lung area; 2, performing characteristic extraction by use of a B batten wavelet transformation characteristic and jet to extract characteristic images which effectively describe different-scale bones as a model establishment basis; 3, processing a sample by use of a Q-type factor analytical method; 4, predicting bone images by use of a BP nerve network, and establishing a prediction model between lung X-ray images and DES rib images; and 5, performing image subtraction on normal chest images and the predicted bone images to predict soft tissue images, after establishment of the prediction model, according to the gray scale value distribution of the lung X-ray images, predicting and generating bone structure images, and obtaining the soft tissue images by subtracting the bone images obtained through prediction from the lung X-ray images.

Description

technical field [0001] The invention relates to the technical field of imaging technology, in particular to a bone suppression method based on training sample optimization that uses a feature image obtained through feature extraction from a chest X-ray image and a corresponding bone image generated by dual-energy subtraction as training data. Background technique [0002] Lung cancer is one of the most harmful malignant tumors to human health. Because the lung is an internal organ of the human body, most lung cancers just grow quietly in the body at the beginning, and the patient does not feel anything. When patients come to see a doctor due to clinical symptoms such as cough, hemoptysis, and chest pain, 80% of the patients are already in the middle and late stages, and about 75% of them are found to have metastatic lesions, and the prognosis of treatment is poor. Statistics from the National Cancer Institute of the United States show that if a cancer patient is diagnosed a...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 张国栋吴海萍郭薇
Owner SHENYANG AEROSPACE UNIVERSITY