Stroke diagnosis and prognosis prediction method and system

Abstract

Provided are a stroke diagnosis and prognosis prediction method and system, which are capable of accurately diagnosing a stroke and reliably predicting the condition of a stroke patient. The stroke diagnosis and prognosis prediction system comprises: an image acquisition unit configured so as to receive a plurality of images including at least a part of a human brain; an image alignment unit for aligning the plurality of images on the basis of a standard brain image; a lesion area detection and mapping unit for respectively detecting lesion areas from the plurality of images, and mapping the detected lesion areas so as to generate one mapping image; a matching and correction unit, which scales a mapping image so as to match the same to the standard brain image and performs image correctionon the mapping image; a three-dimensional image generation unit storing the mapping image in a three-dimensional data space, thereby generating a three-dimensional lesion image; and a stroke diagnosis unit for diagnosing a stroke on the basis of the three-dimensional lesion image.

Description

technical field [0001] The present invention relates to a stroke diagnosis and prognosis prediction method and system thereof, more specifically, to a stroke diagnosis and prognosis prediction method and system capable of more accurately diagnosing stroke and reliably predicting the state of a stroke patient. Background technique [0002] Stroke (stroke or apoplexy) refers to the symptoms of local neurological deficit suddenly caused by abnormal cerebral blood flow. Stroke is a term for symptoms, and when it is called a medical disease, it is called a cerebrovascular disease. Stroke is roughly divided into cerebral infarction and cerebral hemorrhage. [0003] The current diagnosis of cerebral apoplexy is to determine the cause and assess the severity of stroke by skilled experts. The stroke cause classification method used as an international standard is making full use of the TOAST (Trial of Org 10172 in Acute Stroke Treatment) standard. The TOAST taxonomy is by far the ...

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Problems solved by technology

[0009] On the other hand, in order to diagnose cerebral apoplexy and predict prognosis, a large amount of MRI imaging data and patient clinical information must be considered. Therefore, not only the time required for diagnosis is long, but also the diagnostic results may vary greatly depending on the proficiency of medical personnel. difference

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