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Lumbar vertebra bone analysis method and device based on deep learning, equipment and storage medium

A technology of deep learning and analysis method, which is applied in the field of medical image processing, can solve the problems of lower accuracy of the corresponding tissue quantification results of the lumbar spine area and low positioning accuracy of the lumbar spine area, and achieve the effect of improving the accuracy of the quantification results

Pending Publication Date: 2021-08-10
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology

These techniques need to set various parameters in advance, but when there are structural anatomical variations, these features cannot be widely extended to various situations, resulting in low positioning accuracy of the lumbar region, which in turn leads to the corresponding Decreased accuracy of quantitative results for organizations

Method used

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  • Lumbar vertebra bone analysis method and device based on deep learning, equipment and storage medium
  • Lumbar vertebra bone analysis method and device based on deep learning, equipment and storage medium
  • Lumbar vertebra bone analysis method and device based on deep learning, equipment and storage medium

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specific Embodiment approach

[0055] see image 3 , image 3 A specific implementation of step S2 is shown, which is described in detail as follows:

[0056] S21: Identify abdominal area markers in multiple CT sequence images, and identify non-zero areas of the abdominal area according to the abdominal area markers.

[0057] S22: Perform data clipping in the non-zero area to obtain a data set.

[0058] Specifically, the purpose of this application is to train the lumbar vertebrae segmentation model so that it can recognize the abdominal region of the target CT sequence image and the segmentation result of each vertebral mass in the abdominal region as well as the category of the corresponding vertebral mass. Therefore, by marking the abdomen region in each CT sequence image in advance, it can identify the abdomen region marker, thereby identifying the abdomen region. In order to reduce the amount of data calculation, the non-zero value area of ​​the abdomen area is identified, and then the data is clipp...

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Abstract

The invention relates to the technical field of medical image processing, and discloses a lumbar vertebra bone analysis method and device based on deep learning, equipment and a storage medium. The method comprises the following steps: acquiring training sample data, training a lumbar vertebra segmentation model through the training data, and identifying a target CT sequence image through the trained lumbar vertebra segmentation model; then obtaining a segmentation result of each vertebral block in the abdomen area and a category of the corresponding vertebral block; and carrying out tissue segmentation to obtain a tissue segmentation result, and based on the tissue segmentation result, carrying out calculation processing on the cross section area and the tissue structure volume to obtain a target result. The invention further relates to a block chain technology, and the target CT sequence image is stored in the block chain. According to the method, accurate positioning and tissue segmentation are carried out on the lumbar vertebra region of the target CT sequence image through the trained lumbar vertebra segmentation model, so that the accuracy of a quantification result of a tissue corresponding to the lumbar vertebra region is improved.

Description

technical field [0001] The present application relates to the technical field of medical image processing, in particular to a deep learning-based lumbar analysis method, device, equipment and storage medium. Background technique [0002] In recent years, medical imaging technology and artificial intelligence technology have been developing rapidly, and interdisciplinary applications have attracted our attention. Computed tomography is widely used in clinical diagnosis, which has greatly improved the medical level and provided a good foundation for medical research and development. protection, which has significant impact and value. Using artificial intelligence technology to process and analyze medical image data can provide a powerful auxiliary function for modern medical diagnosis. [0003] The lumbar spine is a commonly used research object in medicine. By quantifying the location of the lumbar spine and the corresponding tissue of the lumbar spine area, it can provide i...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11
CPCG06T7/0012G06T7/11G06T2207/10081G06T2207/20081G06T2207/30012
Inventor 吴海萍章古月
Owner PING AN TECH (SHENZHEN) CO LTD
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