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An Algorithm for Deformable Mouse Whole Body Atlas and Mouse Image Registration

An atlas and mouse technology, applied in the field of small animal medical imaging research, can solve problems such as individual organ morphology differences, achieve high registration accuracy and robustness, solve body posture changes and organ individual morphology differences, and improve data analysis capabilities Effect

Active Publication Date: 2022-03-04
DALIAN UNIV OF TECH
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Problems solved by technology

[0006] The purpose of the present invention is to provide an algorithm for registration of a deformable mouse atlas and mouse images. The main technical problem to be solved is to utilize the deformable characteristics of the mouse whole-body atlas, and at the same time solve the changes in the body posture of the mouse and the individual organs during the registration process. The problem of morphological differences makes map registration more accurate and robust

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  • An Algorithm for Deformable Mouse Whole Body Atlas and Mouse Image Registration
  • An Algorithm for Deformable Mouse Whole Body Atlas and Mouse Image Registration
  • An Algorithm for Deformable Mouse Whole Body Atlas and Mouse Image Registration

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specific Embodiment approach

[0054] Such as figure 1 As shown, an algorithm for registration of a deformable mouse whole-body map and a mouse image. The target image is a CT image as an example, and the deformable mouse whole-body map is used for registration. It mainly includes three parts: pre-adjust the shape and posture of the skin and bones of the deformable mouse whole-body atlas; map the remaining internal organs according to the deformed skin and bones; register the deformed mouse whole-body atlas to the target through 3D grayscale image registration individual. The specific implementation is as follows:

[0055] In the first step, anatomical calibration points are selected from mouse images. The target individual anatomical calibration point (c) includes a total of 7 articulation points including the tip of the nose, the top of the cervical spine, the top of the coccyx, the elbow joint of the left forelimb, the elbow joint of the right forelimb, the knee joint of the left hind limb, and the kne...

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Abstract

The invention discloses an algorithm for registration of a deformable mouse whole-body atlas and a mouse image, which mainly utilizes the deformable characteristics of the atlas to register target images, and maps organ regions in the atlas to target individuals to realize the registration of target organ regions. divided. During the registration, the posture, body length and weight of the atlas skin and bones are automatically adjusted in advance to be similar to the target. The rest of the organs satisfying the law of statistical change can use the conditional Gaussian model to estimate the corresponding position and shape according to the atlas skin and bones; the remaining organs can use the thin plate spline deformation mapping according to the surrounding organs. Get the whole-body atlas after shape adjustment, extract the skin, bones and lungs, fill them with real gray values, use the 3D image registration method to register the filled organs with the target, guide the atlas to complete the final deformation, and get the final result. The invention simultaneously solves the problems of body posture changes and individual organ shape differences in mouse image registration, and has higher registration accuracy and robustness.

Description

technical field [0001] The invention belongs to the technical field of small animal medical imaging research, and relates to an algorithm for registration of a deformable mouse whole-body atlas and a mouse image. The organ regions in the image are mapped to the target image, and then the main organs of the mouse are segmented from the target image. Background technique [0002] With the rapid development of medical imaging technology, small animal imaging research plays an important role in preclinical cancer research and new drug trial production. The advancement and popularization of small animal images has put forward new requirements for related image analysis work. A large amount of image data needs to be processed per unit time, and manual processing has the disadvantages of strong subjectivity and poor repeatability. Therefore, there is an urgent need for automated and objective small animal image analysis technology to improve the accuracy and efficiency of small an...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/33
CPCG06T7/33
Inventor 王洪凯刘浩张宾庄明睿
Owner DALIAN UNIV OF TECH