A scoring method and system based on cranial CT images

Abstract

The embodiment of this specification discloses a scoring method and system based on cranial CT images, belonging to the field of medical imaging. The embodiment of this specification uses the scoring method based on cranial CT images to solve the problems of the ASPECTS scoring by visual judgment, which leads to large subjective differences and poor operability. The scoring method includes: extracting the target area from the multi-frame cranial CT image data to be processed; performing infarction judgment on each target area included in the target area, and outputting the infarction judgment result; outputting the score based on the infarction judgment result of the target area result. The scoring method and system provided in the embodiments of this specification can eliminate or reduce human factors and diagnostic differences caused by imaging differences in imaging equipment, and reduce the time required for human observation, thinking, and naked eye scoring. Medical research provides objective evidence.

Description

technical field [0001] This specification relates to the fields of medical imaging and computer technology, and in particular to a scoring method and system based on cranial CT images. Background technique [0002] ASPECTS (Alberta Stroke Program Early CT Score) score is an important basis for the diagnosis and treatment of stroke, which was proposed by Barber et al. in 2000. This scoring method is aimed at patients with acute stroke, and according to their head CT image data, the important layers of the middle cerebral artery blood supply are divided into 10 regions, including the head of the caudate nucleus (C) and the lenticular nucleus (L) at the level of the nuclei , posterior limb of the internal capsule (IC), insula (I), M1 (middle cerebral artery anterior cortex), M2 (middle cerebral artery lateral insular cortex), M3 (middle cerebral artery posterior cortex), and nuclei M4 (middle cerebral artery cortex above M1), M5 (middle cerebral artery cortex above M2) and M6 ...

AI Technical Summary

Problems solved by technology

Due to the existence of factors such as different imaging equipment, different technicians, and different patient conditions, the consistency of head CT image data cannot be guaranteed, and ASPECTS scoring with the naked eye has a large difference caused by subjectivity

Therefore, this "eye judgment method" is not very operable

On the other hand, stroke progresses very quickly, and permanent irreversible infarction can occur within 4-5 minutes of human brain blood supply disturbance, resulting in a high disability and death rate. However, it is difficult to distinguish the boundaries of tissue partitions on CT image data. Quickly and accurately judge the partition, which will lead to delays in treatment

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