A method for segmentation of pulmonary nodules in lung CT images

Abstract

The invention provides a segmentation method of pulmonary nodules in lung CT images, comprising the following steps: (1) extracting pulmonary parenchyma contour lines including pulmonary nodules fromlung images to obtain pulmonary parenchyma images; (2) adopting clustering algorithm to segment the suspected pulmonary nodule region from the pulmonary parenchyma image in the step (1); (3) removingthe region of suspected pulmonary nodules by image roundness method, and eliminating the interference of blood vessel or trachea; (4) according to the size of the suspected pulmonary nodules in step (3) Gaussian template is constructed, and the region with high correlation coefficient is selected to extract the pulmonary nodules. The invention considers the shape characteristic of the solitary pulmonary nodule and the distribution characteristic of the image gray value formed by the change of the CT value of the lung, and reduces the error of the segmentation result of the pulmonary nodule.

Description

technical field [0001] The invention relates to the technical field of image segmentation, in particular to a method for segmenting pulmonary nodules in lung CT images. Background technique [0002] Lung cancer is the cause of death among cancers with a high incidence, because its early asymptomatic display makes the disease difficult to detect. When the disease is discovered, the cancer has already metastasized, which makes lung cancer difficult to treat. Lung cancer often has symptoms of lung nodules in the early stage. Chest CT scans are mostly used for nodule detection, and the scan results are characterized by clear and accurate images. However, a patient’s test results will have hundreds of pictures, and it takes a lot of effort for radiologists to find them. At the same time, repeated work for a long time may also cause misdiagnosis or missed diagnosis. [0003] Computer-aided diagnosis technology is a technology that assists doctors in diagnosing diseases by summari...

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Problems solved by technology

[0002] Lung cancer is the cause of death among cancers with a high incidence, because its early asymptomatic display makes the disease difficult to detect. When the disease is discovered, the cancer has already metastasized, which makes lung cancer difficult to treat. Lung cancer often has symptoms of lung nodules in the early stage. Chest CT scans are mostly used for nodule detection, and the scan results are characterized by clear and accurate images. However, a patient’s test results will have hundreds of pictures, and it takes a lot of effort for radiologists to find them. At the same time, repeated work for a long time may also cause Misdiagnosis or missed diagnosis

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