Cerebral apoplexy cause classification method and device

A classification method and stroke technology, applied in the field of image processing, can solve the problems of classification errors, the consistency and accuracy of stroke etiology classification, improve consistency and accuracy, and reduce the dependence of subjective factors and knowledge levels. Effect

Pending Publication Date: 2020-12-15
BEIJING TIANTAN HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIV
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Problems solved by technology

[0003] However, in clinical practice, the etiological diagnosis and classification of stroke are not only affected by clinicians’ subjective factors and knowledge and experience, but also do not make full use of the relevant information in me

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  • Cerebral apoplexy cause classification method and device
  • Cerebral apoplexy cause classification method and device
  • Cerebral apoplexy cause classification method and device

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Embodiment Construction

[0054] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numerals in the drawings represent the same or similar elements. Although various aspects of the embodiments are shown in the drawings, unless otherwise indicated, the drawings are not required.

[0055] The word "exemplary" exemplified here is "used as examples, embodiments or illustrative". Any embodiment as described herein as "exemplary" does not have to be construed as better or better than other embodiments.

[0056] Further, in order to better explain the present disclosure, numerous specific details are given in the specific embodiments below. Those skilled in the art will appreciate that there is no specific detail, and the present disclosure can also be implemented. In some examples, the means, components, and circuits are not described in detail for methods, components, components, and circu...

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Abstract

The invention relates to a cerebral apoplexy cause classification method and device. The method comprises the steps that lesion segmentation treatment and brain partition treatment are conducted on ato-be-processed image, a lesion segmentation result and a brain partition result of the to-be-processed image are obtained, and the to-be-processed image comprises a brain image of a target object obtained in a diffusion weighted imaging mode; according to the lesion segmentation result and the brain partition result, an image analysis result of the to-be-processed image is determined, and the image analysis result comprises lesion information of each brain subarea; the object clinical information of the target object is analyzed to obtain a clinical analysis result of the target object; and according to the image analysis result and the clinical analysis result, the cause type of the target object is determined. According to the embodiment, the accuracy of cerebral apoplexy cause classification can be improved.

Description

Technical field [0001] The present disclosure relates to image processing technology, and particularly relates to a method and apparatus etiology stroke. Background technique [0002] In recent years, the incidence of cerebrovascular disease and prevalence showed an increasing trend, and with the increase of risk factors, the risk of recurrence of cerebrovascular disease also showed a rising trend. Currently, cerebrovascular disease morbidity and death rate ranked first, serious impact on the national health. Which ischemic stroke (also known as stroke, cerebrovascular accident) accounts for about 70% -80% of cerebrovascular disease, it is the most important type of cerebrovascular disease. [0003] However, in clinical practice, diagnosis and classification of cause of stroke, not only influenced by subjective factors and the knowledge and experience of clinicians, nor take advantage of relevant information in medical imaging, resulting in consistency and accuracy of the etiolog...

Claims

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Application Information

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IPC IPC(8): A61B5/00G06K9/62G06N3/04G06T5/50G06T7/00G06T7/11
CPCA61B5/4064A61B5/7264A61B5/7267G06T7/0012G06T7/11G06T5/50G06T2207/30016G06T2207/20221G06N3/045G06F18/24323
Inventor 王拥军李子孝赵性泉丁玲玲董可辉荆京谢雪微吴振洲付鹤张善思曾韦胜刘盼
Owner BEIJING TIANTAN HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIV
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