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Processing method of brain magnetic resonance diffusion weighted image and related product

A diffusion-weighted image and processing method technology, applied in the field of image processing, can solve the problems of low accuracy of processing results and slow processing speed.

Pending Publication Date: 2021-10-22
沈阳东软智能医疗科技研究院有限公司
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  • Application Information

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Problems solved by technology

However, when the classic U-Net network processes images, there are problems of slow processing speed and low accuracy of processing results.

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  • Processing method of brain magnetic resonance diffusion weighted image and related product
  • Processing method of brain magnetic resonance diffusion weighted image and related product
  • Processing method of brain magnetic resonance diffusion weighted image and related product

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Embodiment Construction

[0071] In the medical field, the ASPECT score is an important imaging index for evaluating the condition of the MCA blood supply area, and it is of great significance for the medical research of AIS. Due to problems such as low signal-to-noise ratio and high time dependence based on unenhanced CT images, the reliability of the estimated ASPECT score is insufficient. However, MR-DWI images have higher sensitivity and specificity for early ischemic brain tissue, higher image signal-to-noise ratio, and no ionizing radiation damage, so the ASPECT score based on MR-DWI images is more reliable. To achieve ASPECT scoring with MR-DWI images, it is necessary to first process the MR-DWI images, such as image segmentation, but in the current existing schemes, there are problems of low accuracy and slow speed in processing MR-DWI images. These problems affect the accuracy and speed of obtaining ASPECT scores based on MR-DWI images, thereby reducing the value of ASPECT scores in AIS medica...

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Abstract

The invention discloses a processing method of a brain magnetic resonance diffusion weighted image and a related product. The method comprises the following steps: acquiring a magnetic resonance diffusion weighted image set of a target brain; and taking the image set as the input of a segmentation model, and processing the image set through the segmentation model to obtain an infarction core segmentation result image of the target brain. The segmentation model comprises a compression path and an expansion path, the image set is input from the initial end of the compression path, and the infarction core segmentation result image is output from the tail end of the expansion path. The SE module of the extension path is used for re-allocating weights for each channel of the feature splicing result and obtaining a new feature splicing result, so that the problem of feature redundancy caused by directly splicing different levels of image features by using the same channel weights is avoided, and the high accuracy of an infarction core segmentation result image is ensured. The SE module can effectively avoid gradient disappearance, so that the segmentation model can converge more quickly, and the image processing speed is improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a processing method of cranial magnetic resonance diffusion-weighted images and related products. Background technique [0002] Acute ischemic stroke (AIS) is a disease with high morbidity, disability, mortality, recurrence and complications. The core infarction area refers to the area where the cerebral blood flow decreases by more than 30% compared with the normal brain tissue, and the brain tissue in this area is irreversibly damaged. The Alberta Stroke Program Early CT Score (ASPECT score) is an important imaging index for evaluating the blood supply area of ​​the middle cerebral artery (middle cerebral artery, MCA). Physicians can refer to the patient's ASPECT score to select a suitable treatment plan. [0003] At present, the images obtained by CT or magnetic resonance-diffusion weighted imaging (MR-DWI) can be used to obtain the brain images, and then ...

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/33G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06T7/11G06T7/33G06N3/08G06T2207/10088G06T2207/20081G06T2207/10012G06T2207/30016G06N3/048G06N3/045G06F18/24323
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