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Method for obtaining lung soft tissue image based on virtual dual energy technique

A soft tissue, dual-energy technology, applied in the field of pulmonary nodule detection, can solve the problem of low detection rate of pulmonary nodules, and achieve the effect of solving the low detection rate

Inactive Publication Date: 2013-07-03
WUXI RUIYING INFORMATION TECH
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a method for acquiring lung soft tissue images based on virtual dual-energy technology, which can solve the problem of low detection rate of pulmonary nodules

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  • Method for obtaining lung soft tissue image based on virtual dual energy technique
  • Method for obtaining lung soft tissue image based on virtual dual energy technique
  • Method for obtaining lung soft tissue image based on virtual dual energy technique

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Embodiment Construction

[0014] An embodiment of the present invention provides a method for obtaining lung soft tissue images based on virtual dual-energy technology, including: processing a CXR image through the MTANN algorithm to form several bone images; fusing the several bone images into a bone image performing smoothing and denoising processing on the one bone image; performing subtraction processing on the smoothed and denoising processed bone image and the corresponding CXR image to form a virtual dual-energy soft tissue image. Wherein, the multiple MTANN algorithms include 8 dedicated MTANN algorithms.

[0015] In order to compare with the research results of other scholars, we use the public database provided by the Japanese Society of Radiological Technology to test the detection performance of this system. All pulmonary nodules in the image were confirmed by CT, and the size of the nodules ranged from 5mm to 40mm. The pulmonary nodules were divided into 5 categories by radiologists accord...

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Abstract

The invention discloses a method for obtaining a lung soft tissue image based on virtual dual energy technique. The method for obtaining the lung soft tissue image based on the virtual dual energy technique comprises the following steps: a chest X-ray (CXR) image is processed through multiple MTANN algorithms to form a plurality of sclerotin images; the plurality of sclerotin images are fused into a sclerotin image; smooth denoising treatment is carried out on the sclerotin image; and subtraction treatment is carried out on the sclerotin image after the smooth denoising treatment and the corresponding CXR image, and the virtual dual energy soft tissue image is formed. The method for obtaining the lung soft tissue image based on the virtual dual energy technique can better restrain the CXR image sclerotin, and resolves the problem that the detection rate of pulmonary nodules is not high.

Description

technical field [0001] The invention relates to the field of pulmonary nodule detection, in particular to a method for acquiring lung soft tissue images based on virtual dual-energy technology. Background technique [0002] In recent years, the number of deaths from lung cancer has accounted for the first of all cancer deaths. The American Cancer Society estimates that in 2009, lung cancer will account for 28% of all cancer cases, and the 5-year survival rate of lung cancer patients is only 14%. However, if The ability to detect lung nodules as early lung cancer, combined with appropriate treatment, can increase the patient's survival rate to 50%. [0003] CT is considered to be the best method for detecting pulmonary nodules—the "gold standard". However, because of reasons such as economy, convenience, and moderate radiation dose, chest X-rays are more commonly used. In fact, almost all early lung cancers are detected by However, it is a very difficult task for radiologist...

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Application Information

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IPC IPC(8): G06T5/00G06N3/02
Inventor 陈胜周广生
Owner WUXI RUIYING INFORMATION TECH
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