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CT and CBCT registration method based on pseudo CT

A registration and CT image technology, applied in the field of medical images, can solve the problems of increasing the difficulty and registration of CT images and CBCT images

Active Publication Date: 2022-07-29
安徽慧软科技有限公司
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Problems solved by technology

However, compared with CT images, CBCT images have more artifacts, including scattering artifacts caused by scattered photons and more cavity artifacts. These artifacts increase the difficulty of registration between CT images and CBCT images. Single-mode CBCT and CT images cannot be registered by the similarity measure of the state, and it is necessary to use a multi-modal similarity measure such as mutual information

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  • CT and CBCT registration method based on pseudo CT
  • CT and CBCT registration method based on pseudo CT
  • CT and CBCT registration method based on pseudo CT

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Embodiment Construction

[0032] In order to make the purposes, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely below with reference to the accompanying drawings of the embodiments of the present disclosure, in order to maintain the following description of the embodiments of the present disclosure. For clarity and conciseness, the present disclosure omits detailed descriptions of well-known functions and well-known components to avoid unnecessarily obscuring the concepts of the present invention.

[0033] The flow chart of the patent of the present invention is as follows figure 1 As shown: the first step uses the rigidly aligned CT image and CBCT image pair to train the pseudo-CT generation network to obtain a pseudo-CT generation model; the second step uses the pseudo-CT generation model to generate the corresponding pseudo-CT image from the CBCT im...

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Abstract

The invention relates to the technical field of medical images, and discloses a CT (Computed Tomography) and CBCT (Cone Beam Computed Tomography) registration method based on pseudo CT, which comprises the following steps of: 1, analyzing CT and CBCT images, and converting pixel matrix values of the images into HU values; 2, removing redundant information outside the body contour by using a skin mask extraction algorithm; 3, rigid registration is carried out on the CT and the CBCT; and step 4, inputting the rigidly aligned CBCT and CT image pairs processed from the step 1 to the step 3 into a pseudo CT generation network for training. According to the CT and CBCT registration method based on the pseudo CT, the multi-mode problem of CBCT and CT registration is converted into the single-mode registration problem of CT and pseudo CT, and therefore registration of CT and CBCT images can be completed rapidly and accurately.

Description

technical field [0001] The invention relates to the technical field of medical images, in particular to a pseudo-CT-based CT and CBCT registration method. Background technique [0002] Image registration is the task of finding a spatial transformation that maps one image (floating image) to another (reference image), and the transformed image can match the reference image. Medical images, especially those taken at different times, are difficult to satisfy the point-to-point correspondence between floating images and reference images. Therefore, the registration of medical images is an important and difficult problem in medical image analysis. [0003] CBCT images can achieve rapid imaging, and have the characteristics of small size, low cost, and low radiation dose to patients. Therefore, they are widely used in image-guided radiotherapy. They are generally used for positioning correction and image reference during fractionated radiotherapy. The planned CT images were regis...

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Application Information

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IPC IPC(8): G06T7/33G06T5/50G06T5/30G06T7/13G06T7/00G06N3/04G06N3/08
CPCG06T7/344G06T5/50G06T5/30G06T7/13G06T7/0012G06N3/08G06T2207/20081G06T2207/20076G06T2207/10081G06N3/045Y02T10/40
Inventor 常艳奎李凌燕吴昊天徐榭裴曦
Owner 安徽慧软科技有限公司
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