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Hip joint segmentation method and device, electronic equipment and storage medium

A hip joint and segmentation model technology, applied in the field of medical image processing, can solve problems such as cumbersome operation, time-consuming operation, and high technical difficulty, and achieve the effect of meeting clinical needs and obtaining accurate results

Pending Publication Date: 2020-01-03
WUHAN UNITED IMAGING HEALTHCARE CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, among the above-mentioned various schemes, the first scheme is time-consuming, cumbersome, and technically difficult, and the segmentation accuracy can only be used for qualitative diagnosis and rough surgical planning by doctors.
Although the second scheme does not require manual participation, the segmentation fineness is not enough
Although the segmentation accuracy of the third solution meets the requirements, it requires the equipment running the model to have high configuration performance, and the model operation is time-consuming, which reduces the segmentation efficiency

Method used

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  • Hip joint segmentation method and device, electronic equipment and storage medium
  • Hip joint segmentation method and device, electronic equipment and storage medium

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Experimental program
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Embodiment 1

[0030] The hip joint segmentation method provided in this embodiment can be applied to the hip joint bone structure segmentation and hip joint classification of medical images. The method can be executed by a hip joint segmentation device, which can be implemented by software and / or hardware, and the device can be integrated in a device with image processing functions, such as a personal computer, a server, or a network device. See figure 1 , The method of this embodiment specifically includes the following steps:

[0031] S110. Obtain various tomographic images of the hip joint.

[0032] In order to obtain the three-dimensional segmentation result of the hip joint of the scanned object, a three-dimensional image containing the hip joint of the scanned object needs to be obtained first. The three-dimensional image may be in a three-dimensional form or may be a stack of multiple two-dimensional images (tomographic images). Since the hip joint segmentation directly based on the thre...

Embodiment 2

[0051] This embodiment adds training related steps of the "target hip joint segmentation model" on the basis of the first embodiment above. The explanation of the terms that are the same as or corresponding to the above-mentioned embodiments will not be repeated here.

[0052] In this embodiment, before describing the training method of the target hip joint segmentation model, the model structure of the target hip joint segmentation model is described first.

[0053] Exemplarily, the basic model of the target hip joint segmentation model is a full convolutional neural network model based on two-dimensional medical images, and the loss function of the target hip joint segmentation model is a focus loss function and a shape constraint loss function; wherein, the shape constraint loss The function is the Euclidean distance between the shape feature vector in the model prediction result and the shape feature vector in the reference hip joint image corresponding to the current image to ...

Embodiment 3

[0077] This embodiment provides a hip joint segmentation device, see Image 6 , The device specifically includes:

[0078] The tomographic image acquisition module 610 is used to acquire various tomographic images of the hip joint;

[0079] The two-dimensional segmentation result generation module 620 is configured to input each tomographic image into the target hip joint segmentation model to generate a two-dimensional segmentation result corresponding to each tomographic image, wherein the target hip joint segmentation model is pre-trained based on the convolutional neural network model obtain;

[0080] The hip joint segmentation result generation module 630 is configured to generate a target three-dimensional segmentation result according to each two-dimensional segmentation result as the hip joint segmentation result.

[0081] Optionally, the two-dimensional segmentation result generating module 620 is specifically configured to:

[0082] For each tomographic image, according to th...

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Abstract

The embodiment of the invention discloses a hip joint segmentation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring each sectional image of a hip joint; inputting each tomographic image into a target hip joint segmentation model to generate a two-dimensional segmentation result corresponding to each tomographic image, the target hipjoint segmentation model being obtained by pre-training based on a convolutional neural network model; and generating a target three-dimensional segmentation result according to each two-dimensional segmentation result, and taking the target three-dimensional segmentation result as the hip joint segmentation result. According to the technical scheme, the hip joint can be segmented quickly and precisely, and the effects of considering the precision and efficiency of hip joint segmentation and meeting clinical requirements to a greater extent are achieved.

Description

Technical field [0001] The embodiments of the present invention relate to medical image processing technology, and in particular to a hip joint segmentation method, device, electronic equipment and storage medium. Background technique [0002] The precise three-dimensional structure of the hip joint is of great significance in clinical medicine. For example, before hip replacement surgery, the three-dimensional structure of the hip joint is used to develop a virtual implant plan for implanted prostheses to improve the accuracy of hip replacement. In surgery, the three-dimensional structure of the hip joint can also be combined with Surface registration and tracking technology enables real-time navigation during surgery. [0003] The three-dimensional structure of the hip joint is usually obtained by segmenting the CT tomographic image of the hip joint. However, due to the existence of bone fragility, the hip joint, especially the femoral head, exhibits extremely uneven grayscale ...

Claims

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Application Information

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IPC IPC(8): G06T7/11G06T7/187
CPCG06T2207/10081G06T2207/10088G06T2207/20081G06T2207/20084G06T2207/30008G06T7/11G06T7/187
Inventor 张旭王佳杨春山
Owner WUHAN UNITED IMAGING HEALTHCARE CO LTD
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