Computer-assisted fracture restitution degree measurement method

A computer-aided, fracture restoration technology, applied in the field of three-dimensional medical image processing, can solve the problem that the restoration progress cannot be measured, and achieve the effect of shortening the time and improving the accuracy

Inactive Publication Date: 2017-09-19
HARBIN ENG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the progress of restoration cannot be measured in the process of computer-aided fracture restoration, and propose a method for measuring the degree of restoration of computer-aided fracture

Method used

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  • Computer-assisted fracture restitution degree measurement method
  • Computer-assisted fracture restitution degree measurement method
  • Computer-assisted fracture restitution degree measurement method

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Experimental program
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Embodiment 1

[0026] A computer-aided fracture restoration progress measurement method, comprising the following steps:

[0027] Step 1, use medical imaging equipment to scan the fracture site, obtain medical images, and perform three-dimensional reconstruction on the fracture site to obtain the surface model of the broken bone (such as figure 1 shown); Manually select feature points on the fracture section of the reconstructed model: take one of the broken bones as the target bone, assuming it is fixed, and manually select n points with obvious features on the target bone section as the target feature point set ,Such as figure 2 As shown; also select n feature points one-to-one corresponding to the target feature point set on the section of another broken bone (that is, the source bone) as the source feature point set.

[0028] Step 2. Use the ICP algorithm to calculate the translation matrix and transformation matrix between the two broken bones, rotate and translate the source bone and...

Embodiment 2

[0033] The specific steps of manually selecting a feature point set in Step 1 of this embodiment are as follows:

[0034] Step 1.1, manual selection of source feature point set:

[0035] Select an appropriate angle for the 3D model of the source bone, select a point on the side or corner with obvious features on the section, select the point with the mouse, and store the point in the source point set to obtain SourcePoint(x i ,y i ,z i ), i=1...n.

[0036] Step 1.2, manual selection of the target feature point set:

[0037] On the cross-section of the target bone 3D model, select the point corresponding to the feature point on the source bone, store it in the target point set, and obtain the corresponding target point set TargetPoint(x i ,y i ,z i ), i=1...n.

Embodiment 3

[0039] Step 2 of this embodiment uses the ICP algorithm to calculate the translation matrix K and rotation matrix L between the target bone and the source bone (at this time, the target bone and the source bone both refer to the three-dimensional model of the broken bone), and the source bone After performing rotation and translation, it docks with the target bone to achieve pre-synthesis and obtain the best restoration position.

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Abstract

The invention belongs to the field of three-dimensional medical image processing and in particular relates to a computer-assisted fracture restitution degree measurement method. The computer-assisted fracture restitution degree measurement method comprises the following steps: scanning a fracture part by using medical imaging equipment, acquiring a medical image, and carrying out three-dimensional reconstruction on the fracture part, so that a surface model of a broken bone is obtained; and manually selecting a characteristic point on a fracture face of the reconstructed model, namely taking one broken bone as a target bone, setting the broken bone to be fixed and immobile, manually selecting n points with obvious characteristics on the fracture face of the target bone as a target characteristic point set, and similarly selecting n characteristic points in one-to-one correspondence with the target characteristic point set on the fracture face of an another broken bone as a source characteristic point set. The computer-assisted fracture restitution degree measurement method has the advantages that estimation of the best fracture setting position before an operation is realized, and the best fracture setting distance is calculated; real-time calculation and display of the distance between the two broken bones in a fracture restitution operation are realized; and a restitution operation course is accurately monitored, and a digital restitution progress enables a doctor to be clear at a glance on an operation course.

Description

technical field [0001] The invention belongs to the field of three-dimensional medical image processing, and in particular relates to a computer-aided method for measuring the degree of fracture restoration. Background technique [0002] The traditional treatment of fractures is to perform surgery and implant steel plates, but the wound is large, the periosteum is stripped widely, bleeding is frequent, and the healing speed is slow. In addition, plaster still needs to be used for postoperative fixation, which is prone to joint stiffness. [0003] With the development and progress of science and technology, minimally invasive fracture surgery came into being. Compared with traditional fracture surgery, minimally invasive fracture surgery has the advantages of small incision, less pain, faster recovery, shorter hospital stay, and less bleeding. Minimally invasive surgery for fractures usually requires an image-guided device, known as a C-arm. However, since the C-arm produc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B34/10A61B34/20G06F19/00
Inventor 栾宽刘小龙李金梁超磊姜同参
Owner HARBIN ENG UNIV
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