Medical image processing method and device and computer storage medium
A medical image and image technology, applied in the field of medical images, can solve the problems of high error rate of medical image recognition and segmentation, low accuracy of medical image recognition and segmentation
Active Publication Date: 2018-11-27
杭州晟视科技有限公司
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Problems solved by technology
[0004] The current medical image recognition and segmentation process is affected by the intensity of the gray scale deviation field and noise related to the inherent characteristics of organs and tissues, which will lead to a high error rate in medical image recognition and segmentation; and is affected by the granularity of medical image recognition and segmentation , leading to low accuracy in medical image recognition and segmentation
Inability to accurately and reliably identify and separate organs or tissues from medical images
Method used
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[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.
[0047] see figure 1 , which shows a medical image processing method provided by an embodiment of the present invention, the method comprising:
[0048] S101: for the tth i time s j The original medical images in the original image group of two sagittal planes are removed according to the preset image preprocessing strategy to remove the grayscale deviation field and noise, and obtain the preprocessed medical images;
[0049] Wherein, the original image group includes an original medical image, an x-direction flow field image, a y-direction flow field image and a z-direction flow field image;
[0050]S102: Based on any two direction flow field images in the x-direction flow field image, the y-direction flow field image and the z-direction flow field image, obtain the outline...
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The embodiment of the invention discloses a medical image processing method and device and a computer storage medium. The method comprises the steps: removing the grayscale deviation field and noise for the original medical images in the original image group of the sjth sagittal plane at the tith moment according to the preset image preprocessing strategy so as to obtain the preprocessed medical images; obtaining the target object contour from the preprocessed medical images based on any two direction flow field images of the x-direction flow field images, the y-direction flow field images andthe z-direction flow field images and segmenting the target object boundary from the preprocessed medical images based on the target object contour; and after the boundary points of the target objectboundary are corrected according to the preset correction strategy, the sub-pixel positions of each boundary point are obtained, and the sub-pixel boundaries of the target object are obtained.
Description
technical field [0001] The present invention relates to the technical field of medical images, in particular to a processing method, device and computer storage medium for medical images. Background technique [0002] In clinical medical diagnosis, medical imaging technologies such as computerized tomography (CT, Computed Tomography) imaging, magnetic resonance imaging (MRI, Magnetic Resonance Image) and X-ray imaging are usually used to transmit the human body, and finally record the perspective gray Degree information is used to represent the morphological information of tissues and organs in the human body. Physicians give diagnostic opinions on patient cases by analyzing organ tissue morphology information in medical imaging. Therefore, in medical imaging, clear characterization of human organs and accurate morphological recognition are important conditions for improving the accuracy of doctors' diagnosis. [0003] After medical imaging of organs and tissues is complet...
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Login to View More IPC IPC(8): G06T7/00G06T7/12G06T5/00G06T7/187G06T5/30
CPCG06T5/30G06T7/0012G06T7/12G06T7/187G06T2207/10088G06T2207/20156G06T2207/20116G06T2207/30101G06T2207/30048G06T5/70
Inventor 魏润杰王虎峰高琪吴鹏李飞王巍
Owner 杭州晟视科技有限公司