Craniocerebral blood supply area recognition method and device, storage medium and electronic equipment
A recognition method and blood supply area technology, applied in the field of image processing, can solve the problem of low reliability of blood supply area identification and achieve the effect of improving recognition accuracy
Pending Publication Date: 2021-11-19
沈阳东软智能医疗科技研究院有限公司
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[0004] The purpose of the present disclosure is to provide a method, device, storage medium and electronic equipment for identifying the blood supply area of the cranium, so as to solve the problem of low reliability in the identification of the blood supply area in the prior art
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[0083] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.
[0084] Before introducing the identification method, device, storage medium and electronic equipment of the cranial blood supply area provided by the present disclosure, the application scenario involved in each embodiment of the present disclosure will be introduced first. The brain is scanned to obtain the image of the blood supply area of the brain, so as to determine the position...
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The invention relates to a craniocerebral blood supply area recognition method and device, a storage medium and electronic equipment, and relates to the technical field of image processing, and the method comprises the steps: carrying out the preprocessing of a craniocerebral blood supply area image, so as to obtain a target craniocerebral image, inputting the target craniocerebral image into a pre-trained recognition model, so as to obtain a recognition result outputted by the recognition model, wherein the recognition result is used for indicating positions and shapes of a plurality of blood supply areas in the craniocerebral blood supply area image, the recognition model is trained according to a registration model, a preset craniocerebral template image, a segmented template image corresponding to the craniocerebral template image and a plurality of unlabeled training images, and the registration model is used for registering the training images to the craniocerebral template image; and registering the craniocerebral template image to the training image. The recognition model can be trained by using the registration model, the craniocerebral template image, the segmented template image and the unlabeled training image, so that the recognition accuracy of the recognition model is improved.
Description
technical field [0001] The present disclosure relates to the technical field of image processing, and in particular, to a method, device, storage medium and electronic equipment for identifying blood supply regions of the cranium. Background technique [0002] With the continuous development of image processing technology, Magnetic Resonance Imaging (English: Magnetic Resonance Imaging, abbreviation: MRI), as a multi-parameter, multi-contrast imaging technology, can effectively assist doctors to observe the status of scanning parts, and has been widely used in the medical field. application. Especially for the judgment of stroke symptoms, it is possible to identify multiple blood supply areas in the brain with the help of Magnetic Resonance-Diffusion Weighted Imaging (English: Magnetic Resonance-Diffusion Weighted Imaging, abbreviation: MR-DWI) technology, so as to identify the Each blood supply area is judged to analyze the ischemic changes in the brain. [0003] Usually,...
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IPC IPC(8): G06T7/00G06T7/33G06T7/60
CPCG06T7/0014G06T7/337G06T7/60G06T2207/10088G06T2207/20081G06T2207/20084G06T2207/30016
Inventor 钱山杨明雷袁红美
Owner 沈阳东软智能医疗科技研究院有限公司