Automatic ASPECTS scoring method based on plain-scan CT, computer equipment, readable storage medium and program product

Abstract

The invention relates to an automatic ASPECTS scoring method based on plain-scan CT, computer equipment, a readable storage medium and a program product, and the method comprises the steps: obtaining an image sequence based on plain-scan CT, screening the image sequence, and obtaining a plurality of key frames comprising the connected boundary frames of the lateral ventricle; positioning a brain sickle on the plurality of key frames, wherein the brain sickle is represented as a boundary on the plurality of key frames; performing image registration on the plurality of key frames for positioning the boundary to obtain each pair of partitions for ASPECTS scoring; training data is utilized to train a deep learning model to obtain scoring models, the number of the scoring models is multiple, and for any scoring model, the training data correspondingly comprises one pair of partitions of the plurality of key frames; and performing ASPECTS scoring on a plurality of key frames to be scored by using the scoring model to obtain an ASPECTS scoring result. The pairs of partitions located on the two opposite sides of the boundary serve as training data of the scoring model, and the precision of the scoring model can be improved.

Description

technical field [0001] The present application relates to the field of medical engineering, in particular to an automatic ASPECTS scoring method based on plain scan CT, computer equipment, readable storage medium and program product. Background technique [0002] Stroke, also known as stroke or cerebral infarction, is a major disease that seriously threatens population health and hinders socioeconomic development. As the most common type of stroke, acute ischemic stroke accounts for about 60% to 80% of all strokes. It is an acute cerebrovascular disease caused by insufficient blood supply to the local brain tissue and has a very high fatal risk. [0003] Non-Contrast CT (Non-Contrast CT), also known as NCCT, is the most conventional imaging technique and method for diagnosing brain lesions. It has the advantages of fast imaging speed, convenient scanning and relatively low price. The ASPECTS (Alberta Stroke Program Early CT Score) score based on NCCT is an important basis f...

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 need to race against time for diagnosis and treatment to avoid rapid deterioration of the condition.

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