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A positioning method of inclined positioning frame based on deep learning

A technology of deep learning and positioning methods, which is applied in the fields of informatics, medical imaging, and healthcare informatics. The effect of positioning accuracy and improving work efficiency

Active Publication Date: 2020-11-13
浙江明峰智能医疗科技有限公司
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Problems solved by technology

Both of the above two types of target detection algorithms can achieve target positioning and recognition, but the positioning frames they output are all rectangular frames, without angle information, and are not universal. For the head, intervertebral disc, bone joints and other tilted bodies The positioning frame required by the part is a parallelogram, which cannot achieve a better target recognition task

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  • A positioning method of inclined positioning frame based on deep learning
  • A positioning method of inclined positioning frame based on deep learning
  • A positioning method of inclined positioning frame based on deep learning

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Embodiment Construction

[0035] Please refer to Figure 1 to Figure 4 As shown, a preferred embodiment of a method for positioning a tilted positioning frame based on deep learning in the present invention includes the following steps:

[0036] Step S10, obtaining DICOM images of a large number of inclined positioning frames; the center coordinates (x, y), length h, width w, or angle θ with the horizontal line between each inclined positioning frame are different; DICOM is medical digital imaging and communication, is An international standard for medical images and related information that defines a medical image format that can be used for data exchange with a quality that meets clinical needs.

[0037] Step S20, preprocessing the DICOM image;

[0038] Step S30, inputting the preprocessed DICOM image into the deep learning network for training;

[0039] Step S40, verifying the generalization ability of the trained deep learning network; the generalization ability is the ability to promote and appl...

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Abstract

The invention provides an oblique positioning frame positioning method based on deep learning in the technical field of medical imaging positioning. The oblique positioning frame positioning method based on deep learning comprises the following steps of S10, obtaining the DICOM images of a large number of oblique positioning frames; s20, preprocessing the DICOM image; step S30, inputting the preprocessed DICOM image into a deep learning network for training; step S40, verifying the generalization ability of the trained deep learning network; and S50, positioning the inclined positioning frame based on the verified deep learning network. The positioning method has the advantage that the positioning precision of the positioning frame is improved.

Description

technical field [0001] The present invention relates to the technical field of medical imaging positioning, in particular to a method for positioning a tilted positioning frame based on deep learning. Background technique [0002] Medical imaging is an extremely important branch of modern medicine. Through physical mechanisms such as the signals emitted by medical imaging equipment and the interaction of patient's body tissues, it displays the images of the internal organ structures of the patient, reveals whether there are lesions in each organ, and timely monitors the lesion area. Qualitative and quantitative analysis can effectively assist doctors in diagnosis. Medical imaging, represented by X-ray computed tomography (CT), positron emission tomography (PET), and magnetic resonance imaging (MR), is the fastest growing and most impressive achievement in modern medical imaging technology. Grade-A hospitals already generally have these medical imaging equipment. [0003] S...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G16H30/20
CPCG06T7/11G06T2207/10081G06T2207/10088G06T2207/10104G06T2207/20081G06T2207/20084G06T2207/30008G16H30/20
Inventor 徐怿弘王瑶法王小状叶宏伟
Owner 浙江明峰智能医疗科技有限公司
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