Method for predicting intracranial aneurysm information, device and equipment

Abstract

The embodiment of the invention discloses a method for predicting intracranial aneurysm information, a device and equipment, and belongs to the technical field of medical images and computers. The method comprises the following steps: acquiring grid data of image data to be processed, intracranial aneurysm morphological data and case information data; performing normalization processing on the intracranial aneurysm morphological data and the case information data to obtain normalized intracranial aneurysm morphological data and normalized case information data; and inputting the grid data, the normalized intracranial aneurysm morphological data and the normalized case information data into an intracranial aneurysm information prediction model, and predicting the intracranial aneurysm information of the to-be-processed image data to obtain a prediction result of the intracranial aneurysm information. By adopting the method provided by the invention, the influence of human factors can be reduced, the prediction of intracranial aneurysm information can be quickly realized, the accuracy is high, and an objective basis can be provided for clinical adjuvant therapy.

Description

technical field [0001] This specification relates to the field of medical imaging and computer technology, in particular to a method, device and equipment for predicting intracranial aneurysm information. Background technique [0002] Intracranial aneurysm is a high-incidence disease, and current research is mainly focused on predicting whether there is a risk of rupture of the formed intracranial aneurysm. The rupture rate of the formed intracranial aneurysm is very high and may occur at any time rupture and cause more serious consequences. The early stage of intracranial aneurysm development can provide doctors with accurate judgment, predict the growth period of intracranial aneurysm, and determine the treatment plan to prevent it from continuing to grow. [0003] In the prior art, information on intracranial aneurysms is generally given by doctors based on imaging follow-up results and combined with doctor's experience. This method lacks objective basis and is greatly a...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, information on intracranial aneurysms is generally given by doctors based on imaging follow-up results and combined with doctors’ experience. This method lacks objective basis and is greatly affected by objective factors.

This method, because the information of intracranial aneurysm cannot be predicted in advance, can not be treated in advance, which increases the risk of aneurysm rupture

On the other hand, in the current technology, when predicting intracranial aneurysm information, only the change of imaging is considered, and the influence of relevant factors such as case information is ignored, and the accuracy of information prediction is poor

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