Artery and vein determination method and device, equipment and storage medium
A determination method, arteriovenous technology, applied in the field of image processing, can solve the problems of low accuracy, difficulty in obtaining pulmonary artery and pulmonary vein, poor operation efficiency, etc., and achieve accurate and complete separation effect
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Embodiment 1
[0030] figure 1 It is a flow chart of an arteriovenous determination method provided by Embodiment 1 of the present invention. This embodiment is applicable to situations where it is necessary to determine the arteriovenous vein of a target vessel in a medical image. This method can be performed by an arteriovenous determination device, which It can be realized by means of software and / or hardware, and the device can be configured in computer equipment. Such as figure 1 As shown, the method in this embodiment may specifically include:
[0031] S110. Acquire initial medical image data including target blood vessels.
[0032] Wherein, the target blood vessel can be a blood vessel at any position on the target object (the target object can be a human body or an animal, etc.), including arterial blood vessels and venous blood vessels. For example, the target blood vessel can be at least one of the pulmonary blood vessels, liver blood vessels, and spleen blood vessels. One, the ...
Embodiment 2
[0051] figure 2 It is a flowchart of an arteriovenous determination method provided in Embodiment 2 of the present invention. In this embodiment, on the basis of the above-mentioned embodiments, the neural network model based on the pre-trained trunk extraction can be selected to determine the arterial trunk information and venous trunk information in the initial medical image data, and further includes:
[0052] Performing three-dimensional resampling on the initial medical image data based on a second preset physical size corresponding to the second target voxel, to obtain second resampled medical image data having the second target voxel;
[0053] Inputting the second resampled medical image data into the pre-extraction neural network model to obtain an overview image of the target vessel;
[0054] Determining a target vessel region of interest of the target vessel based on the target vessel overview image;
[0055] According to the target blood vessel region of interest...
Embodiment 3
[0096] Figure 3a It is a flowchart of an arteriovenous determination method provided in Embodiment 3 of the present invention. This embodiment provides a preferred embodiment on the basis of the above-mentioned embodiments. In this preferred embodiment, the target blood vessel is a pulmonary blood vessel, such as Figure 3a As shown, the arteriovenous determination method may include the following steps:
[0097] Acquisition of three-dimensional data of the initial lung image;
[0098] Pulmonary artery and vein trunk segmentation: resampling the initial three-dimensional data of the lung image into the first resampled three-dimensional data of the lung image with a larger physical size, and then using the coarse segmentation neural network model (i.e. the pre-extraction neural network in the embodiment of the present invention) model) to segment the pulmonary vessels to obtain an overview image of the pulmonary vessels. Determine the largest connected region in the pulmona...
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