Cerebral hemorrhage CT slice scanning analysis system

Abstract

The invention discloses a cerebral hemorrhage CT (Computed Tomography) radiography scanning system, relates to the technical field of cerebral CT image analysis, and aims to solve the problem of high labor cost in traditional CT image processing, a watershed algorithm and a seed growth method are organically fused, an operator only needs to import a craniocerebral CT image into the system and select the craniocerebral CT image according to requirements, a hemorrhage area can be segmented, and the operation is simple and convenient. The bleeding area is accurately quantified, labor cost is reduced, and time is saved. And meanwhile, bleeding parts in the brain CT image are segmented and stored in batches, so that doctors in different hospitals can read the bleeding parts subsequently, storage and electronic visualization are facilitated, and the system can scan the CT to obtain corresponding electronic files so as to perform subsequent CT image processing.

Description

technical field [0001] The invention relates to the technical field of brain CT image analysis, in particular to a CT slice scanning system for cerebral hemorrhage. Background technique [0002] The processing of brain CT images is mostly traditional manual marking. This method is not only time-consuming and labor-intensive, but also because the determination of the boundary of the hematoma in most patients is not very clear, so this method also faces the existence of a large number of individual measurers and individuals. Most of the existing systems can only use one of the seed growth algorithm and the watershed algorithm, which lacks the organic fusion of the two algorithms, and due to the different parameters of the CT machine, the CT images taken by different CT machines will lead to different complexity. It is difficult to cut. At the same time, when calculating the bleeding volume, if there is an irregular situation, it needs to be calculated layer by layer and added ...

AI Technical Summary

Problems solved by technology

[0002] Most of the processing of brain CT images is traditional manual marking. This method is not only time-consuming and laborious, but also because the hematoma boundary is not very clear in most patients, this method also faces the existence of large individual measurers and individual However, most of the existing systems can only use one of the seed growth algorithm and the watershed algorithm, lacking the organic fusion of the two algorithms, and due to the different CT machine parameters, the CT slices taken by different CT machines will lead to different complexity. Cutting is difficult. At the same time, when calculating the hemorrhage volume, if irregularities occur, it needs to be calculated layer by layer and added layer by layer. In summary, the existing brain CT impact processing technology requires a large amount of calculation and takes a long time. High labor cost

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