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Non-radiative X-ray image generation method and device based on ultrasonic coronal plane image

A technology of ultrasound image and light image, which is applied in the medical field, can solve problems such as unclear image noise, bone structure noise, etc., and achieve the effect of avoiding radiation accumulation

Pending Publication Date: 2022-05-17
ZHEJIANG UNIV OF TECH
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Problems solved by technology

Unfortunately, the advantage of ultrasound imaging lies in the soft tissue structure, and bone components have a strong attenuation and scattering effect on ultrasound, so ultrasound bone images have the following characteristics: 1) The image information is less, because ultrasound cannot penetrate th

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  • Non-radiative X-ray image generation method and device based on ultrasonic coronal plane image
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  • Non-radiative X-ray image generation method and device based on ultrasonic coronal plane image

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Embodiment Construction

[0021] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0022] In one embodiment, such as figure 1 As shown, a radiation-free X-ray image generation method based on ultrasonic coronal images is proposed, including:

[0023] Step S1, constructing a training set after preprocessing the ultrasound coronal image of the spine obtained by ultrasonic scanning and the X-ray image of the spine obtained by standing X-ray photography. The training samples in the training set include the coronal ultrasound image of the spine and the X-ray image of the spine light image.

[0024] In this embodiment, the ultrasonic coronal images and X-ray images of the sp...

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Abstract

The invention discloses a non-radiative X-ray image generation method and device based on an ultrasonic coronal plane image, and the method comprises the steps: constructing and training a generation attention network of a spine ultrasonic image and a spine X-ray image; the generation attention network of the spine ultrasonic image and the spine X-ray image comprises a first generator network, a second generator network, a first discriminator and a second discriminator, and the first generator network and the second generator network are the same in structure and comprise an image encoder, an image decoder and an attention mechanism module. And inputting a spine ultrasonic coronal plane image obtained by ultrasonic scanning into the trained generation attention network of the spine ultrasonic image and the spine X-ray image to generate a corresponding spine X-ray image. Imaging of the corresponding spine in the X-ray state is achieved in a non-radiation mode, the method can be used for regular clinical screening of teenager idiopathic scoliosis, and therefore it is avoided that growth and development of teenagers are affected by X-ray radiation accumulation.

Description

technical field [0001] The present application belongs to the field of medicine and the field of deep learning technology, and specifically relates to a method and device for generating non-radiation X-ray images based on ultrasonic coronal images. Background technique [0002] Adolescent idiopathic scoliosis (AIS) is the most prevalent form of scoliosis, defined as a three-dimensional torsional deformity of the spine and trunk. Scoliosis occurs mainly during adolescence and causes lateral curvature, axial rotation, and sagittal normal curvature, lordosis, and kyphosis. Adolescents with AIS should be monitored regularly for early detection and further intervention, as rapid growth in adolescents may be at risk for development of crookedness. [0003] The gold standard for judging spinal deformity is to rely on standing X-ray film, and judge whether there is spinal deformation through the clear spine structure presented by X-ray film. But repeated X-ray monitoring can lead ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06V10/776G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06N3/08G06T2207/10116G06T2207/10132G06T2207/30012G06N3/045G06F18/217
Inventor 姜娓娓余超豪
Owner ZHEJIANG UNIV OF TECH
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