Cerebral hemorrhage lesion identification and hematoma expansion prediction system and device

Abstract

The present disclosure relates to a system and device for identifying cerebral hemorrhage lesions and predicting hematoma expansion. The steps for implementing the system include: segmenting the target image to obtain a regional mask of the lesion, wherein the target image includes brain CT image; extract radiomics features of the lesion according to the target image and the regional mask of the lesion; obtain a prediction result of the possibility of lesion expansion in the target image according to the radiomics feature. In the embodiment of the present disclosure, the regional mask of the lesion is obtained by segmenting the target image, and the radiomics feature of the lesion is extracted according to the target image and the regional mask of the lesion, and the radiomics feature is obtained according to the radiomics feature. The prediction result of the possibility of lesion expansion in the target image can quickly and accurately identify the lesion and determine the possibility of lesion expansion, and has the characteristics of automation, no need for 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 system 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, studies in recent years 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 po...

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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