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Ultrasonic or CT medical image three-dimensional reconstruction method based on transfer learning

A technology for three-dimensional reconstruction and medical imaging, which is applied in the computer field and can solve the problems of disadvantageous and high time complexity of three-dimensional reconstruction of complex models.

Active Publication Date: 2021-05-07
EAST CHINA NORMAL UNIVERSITY
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Problems solved by technology

At present, in the research of 3D reconstruction technology of ultrasound or CT images, due to the difficulty of recovering the parameters of the camera, there are certain difficulties in the research of 3D reconstruction technology of ultrasound or CT images, especially the reconstruction of complex models will give 3D Reconstruction brings serious problems of high time complexity, which is not conducive to the application of clinical medical auxiliary diagnosis

Method used

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  • Ultrasonic or CT medical image three-dimensional reconstruction method based on transfer learning
  • Ultrasonic or CT medical image three-dimensional reconstruction method based on transfer learning
  • Ultrasonic or CT medical image three-dimensional reconstruction method based on transfer learning

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Embodiment

[0070] The present invention will be further described below in conjunction with the accompanying drawings.

[0071] This embodiment is carried out under the Windows10 64-bit operating system on the PC, and its hardware configuration is CPU i7-9700F, memory 16G, GPU NVIDIA GeForce GTX 2070 8G; deep learning library adopts Tensorflow1.14; programming adopts Python language.

[0072]A 3D reconstruction method for ultrasound or CT medical images based on migration learning. The method inputs an ultrasound or CT image sequence with a resolution of M×N. For ultrasound images, M is 450, and N is 300. For CT images, M and N is taken as 512, and the process of three-dimensional reconstruction specifically includes the following steps:

[0073] Step 1: Build the dataset

[0074] (a) Construct a natural image dataset D

[0075] Select a natural image website, which requires image sequences and corresponding camera internal parameters, and download 19 image sequences and internal param...

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Abstract

The invention discloses an ultrasonic or CT medical image three-dimensional reconstruction method based on transfer learning, which is characterized in that an unsupervised learning mechanism is adopted, and a three-dimensional reconstruction function of an ultrasonic image is achieved through transfer learning by utilizing a visual method according to the characteristics of ultrasonic or CT image acquisition. By means of the method, three-dimensional reconstruction of ultrasonic or CT images can be effectively achieved, in auxiliary diagnosis of artificial intelligence, the effect of auxiliary diagnosis is fully played, and the efficiency of auxiliary diagnosis can be improved through the 3D visual reconstruction result.

Description

technical field [0001] The invention belongs to the field of computer technology, and relates to three-dimensional reconstruction of ultrasound or CT images in medical aided diagnosis. 3D reconstruction methods. Background technique [0002] In recent years, with the rapid development of artificial intelligence technology, the research on key technologies of medical aided diagnosis is of great significance. At present, in the research of 3D reconstruction technology of ultrasound or CT images, due to the difficulty in recovering the parameters of the camera, there are certain difficulties in the research of 3D reconstruction technology of ultrasound or CT images, especially the reconstruction of complex models will give 3D Reconstruction brings a serious problem of high time complexity, which is not conducive to the application of clinical medical auxiliary diagnosis. How to establish an effective deep learning network coding model to effectively solve the rapid problem of...

Claims

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Application Information

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IPC IPC(8): G06T17/00G06N3/04G06N20/00
CPCG06T17/00G06N20/00G06N3/045
Inventor 全红艳钱笑笑
Owner EAST CHINA NORMAL UNIVERSITY
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