Method and device for cerebral hemorrhage lesion identification and hematoma enlargement prediction

Abstract

The invention relates to a method and device for cerebral hemorrhage lesion identification and hematoma enlargement prediction. The method comprises the steps: segmenting target images to obtain a regional mask of a lesion, wherein the target images comprise brain CT images; according to the target images and the regional mask of the lesion, extracting radiomics characteristics of the lesion; and obtaining a prediction result of the focus enlargement possibility in the target images according to the radiomics characteristics. According to the embodiment of the invention, the target images are segmented to obtain the regional mask of the lesion, the radiomics characteristics of the lesion are extracted according to the targets image and the regional mask of the lesion, and the prediction result of the lesion enlargement possibility in the target image is obtained according to the radiomics characteristics, such that the lesion can be quickly and accurately identified, and the lesion enlargement possibility is identified. The method and device for cerebral hemorrhage lesion identification and hematoma enlargement prediction have the characteristic of automation, and are free of manual assistance and manual operation.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular to a method and device for identifying cerebral hemorrhage lesions and predicting hematoma expansion. Background technique [0002] Spontaneous intracerebral hemorrhage (Intracerebral Haemorrhage, referred to as ICH) is the most devastating stroke subtype, accounting for about 15% of stroke cases worldwide, resulting in 40% of patients dying within 1 month, and 75% of survivors within 1 month. Severely disabled during the year. Cerebral hemorrhage accounts for nearly one-third of stroke patients in my country, much higher than the world average. At the same time, cerebral hemorrhage is also the stroke disease with the highest disability and death rate. In addition, recent studies have shown that cerebral hemorrhage is a persistent event, and hematoma expansion (HE) is considered to be one of the key factors for early neurological deterioration and poor clinic...

AI Technical Summary

Problems solved by technology

Although the research on the treatment methods and mechanisms of ICH continues to deepen, the overall improvement in the therapeutic effect on intracerebral hemorrhage is not obvious

[0003] Relevant technologies cannot accurately identify the cause of bleeding through images, and the assessment of bleeding risk is inaccurate, which makes clinicians rely on personal experience and random use of conventional treatment methods, which eventually leads to a bottleneck in the overall treatment effect

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