Pulmonary nodule locating system and method for 3D pulmonary surface projection
A positioning system and pulmonary nodule technology, applied in the field of medical image processing, can solve the problems of increasing patient pain, invasive operation, difficult to remove, etc., and achieve the effect of reducing pain
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Embodiment 1
[0030] refer to figure 1 As shown, the present invention discloses a 3D lung surface projection pulmonary nodule positioning system, including a CT data import unit 10, a CT image segmentation unit 20, a three-dimensional modeling unit 30, a nodule projection unit 40 and a measurement unit 50, wherein:
[0031] The CT data import unit 10 is used for importing CT data, and the CT data includes lung CT images, patient information, hospital information, CT machine model information and CT slice accuracy information. The CT data import unit 10 has a CT data preview module and a lung CT image preprocessing module, the CT data preview module is used to view relevant content of the CT data, and the lung CT image preprocessing module is used to judge whether the lung CT image is inverted, And adjust the inverted lung CT image to the correct orientation.
[0032] The CT image segmentation unit 20 includes a lung tissue and organ segmentation module, a nodule segmentation module, a blo...
Embodiment 2
[0037] The present invention discloses a 3D lung surface projection lung nodule positioning method, which is implemented based on the 3D lung surface projection lung nodule positioning system of Embodiment 1. The method includes the following steps:
[0038] S1. Using the CT data import unit 10 to import CT data.
[0039] S2. Using the CT image segmentation unit 20 to segment the lung tissues, organs, nodules, and blood vessels on the lung CT image, and segment the lung tissues and organs according to the blood vessels. Step S2 specifically includes the following steps:
[0040] S21. Segmentation of lung tissue and organ, selecting the position of lung tissue and organ on the lung CT image through human-computer interaction, and automatically segmenting the lung tissue and organ. The position of the lung tissue and organ on the lung CT image is selected by setting the seed point through human-computer interaction, and the computer automatically segments the lung tissue and or...
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