Cerebral infarction scoring method and device based on brain CT image, computer equipment and storage medium

Abstract

The invention relates to a cerebral infarction scoring method and device based on a brain CT image, computer equipment and a storage medium. The method comprises the steps of acquiring multiple framesof CT scanning images related to the brain and an ASPECTS partition three-dimensional model; respectively registering each partition of the ASPECTS partition three-dimensional model to a corresponding area of each frame of CT scanning image by adopting a nonlinear image registration algorithm to obtain a plurality of frames of ASPECTS partition CT scanning images; determining an infarction side according to the density values corresponding to the two sides of the brain in the CT scanning image; and extracting a plurality of feature data corresponding to each partition on the infarct side of the CT image of each frame of ASPECTS partition, and inputting the feature data into the trained machine learning model to obtain a cerebral infarction score corresponding to each partition. By adopting the method, the cerebral infarction score with high accuracy can be obtained in a high-automation and high-speed manner.

Description

technical field [0001] The present application relates to the field of hospital imaging and computer technology, in particular to a cerebral infarction scoring method, device, computer equipment and storage medium based on brain CT images. Background technique [0002] Stroke is also called stroke or cerebral infarction. Ischemic stroke is an acute cerebrovascular disease caused by insufficient blood supply to local brain tissue. Acute ischemic stroke is the most common type of stroke, accounting for about 60% of all strokes. ~80%, with a very high fatal risk. NCCT (Non-Contrast CT), also known as non-contrast CT, is the most conventional imaging technique and method used to diagnose brain lesions. The NCCT-based ASPECTS (Alberta Stroke Program Early CT Score) score is an important basis for the diagnosis and treatment of ischemic stroke. [0003] This scoring method is aimed at patients with acute stroke. According to the brain NCCT image data, the important layers of the...

AI Technical Summary

Problems solved by technology

On the one hand, due to differences in imaging equipment, differences in patient conditions, and the subjectivity of image readers, manual image reading methods have always lacked certain stability.

On the other hand, manual image reading is also time-consuming. Ischemic stroke is an urgent disease, and patients generally need to be diagnosed and treated quickly to prevent the condition from deteriorating.

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