Method and system for measuring morphological parameters of intracranial aneurysm images

Abstract

The embodiment of this specification provides a method and system for measuring morphological parameters of an intracranial aneurysm image. The embodiment of this specification solves the problem that the measurement of the morphological parameters of the intracranial aneurysm image cannot be fully automated and the measurement consistency is difficult to guarantee by measuring the morphological parameters of the intracranial aneurysm image. The measurement method includes: segmenting the intracranial aneurysm image from the three-dimensional DICOM data of the DSA; segmenting the intracranial aneurysm image; and measuring the morphological parameters of the intracranial aneurysm image. The method and system for measuring the morphological parameters of intracranial aneurysm images provided in the embodiments of this specification can realize the automation of intracranial aneurysm image measurement, quickly measure the morphological parameters of intracranial aneurysm images, and ensure the accuracy of aneurysm images. Consistency of measurements of morphological parameters.

Description

technical field [0001] This specification relates to the field of medical imaging, in particular to a method and system for measuring morphological parameters of intracranial aneurysm images. Background technique [0002] Intracranial aneurysm is a tumor-like protrusion on the arterial wall caused by local abnormal expansion of the intracranial artery lumen, and is a common vascular disease. According to reports, the prevalence of unruptured intracranial aneurysms in Chinese adults is as high as 7%, and rupture can cause subarachnoid hemorrhage, which can lead to severe disability or death. According to the data from the National Bureau of Statistics in 2014, acute cerebrovascular disease is the second leading cause of death in my country. Aneurysmal subarachnoid hemorrhage is the most common acute cerebrovascular disease after ischemic stroke and hypertensive cerebral hemorrhage. The death and disability rate is as high as 64%, and about 15% of patients die before hospital...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the measurement of intracranial aneurysm images basically relies on experienced personnel, using computer manual measurement, the measurement speed is slow, the measurement results are random, and the accuracy is not ideal, and this method can only measure simple parameters, such as line segments Distance; for complex parameters such as volume or angle, manual measurement is very inconvenient and the accuracy is difficult to guarantee

The improvement of aneurysm measurement is mainly the improvement of simulation modeling or traditional manual measurement methods, which cannot realize the automatic measurement of aneurysm morphological parameters, and its consistency is difficult to guarantee

Images