Mammary gland detection and classification method based on nuclear magnetic resonance image

Abstract

The invention provides a nuclear magnetic resonance image-based mammary gland detection classification method, which is realized based on a nuclear magnetic resonance image-based mammary gland detection device, and the nuclear magnetic resonance image-based mammary gland detection device comprises a magnetic resonance scanner, a magnetic resonance scanning room, a scanning bed, a man-machine interaction terminal, a master control machine and a gradient adjustment device. A pressure sensor is used for sensing whether a detected object on a scanning bed is in place or not so as to ensure that the detected object corresponds to detected information correctly, a gradient adjusting device is used for achieving gradient precision and user-defined adjustment during detection, an area scanning method is used for processing an image, an image gray value is used as a standard parameter, and the detection accuracy is improved. The mammary gland image of the detected object is accurately obtained and then compared with the gray scale range in the database, and then detection conditions are classified.

Description

technical field [0001] The invention relates to the medical and health field, in particular to a breast detection and classification method based on nuclear magnetic resonance images. Background technique [0002] Breast magnetic resonance imaging technology has the characteristics of excellent soft tissue resolution and no radiation, and has unique advantages for breast examination. greatly improved. In foreign countries, breast MR examination is mainly used as a screening method for high-risk groups of breast cancer, and it is also used for clinical, mammography or breast B-ultrasound indeterminate lesions. In recent years, more and more clinical and research work on breast MR examination has been carried out in my country. Domestic researchers have concluded that the main indications of breast MRI are as follows: (1) Mammography and ultrasonography are difficult for patients with disease detection or diagnosis. ②Evaluate whether there is hidden breast cancer in the brea...

AI Technical Summary

Problems solved by technology

However, as far as the existing technology is concerned, there are problems such as inaccurate gradient adjustment and low image detection accuracy in breast magnetic resonance imaging examinations that need to be solved urgently.

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