Study on Key Technologies of Virtual Interactive Surgical Simulation for 3D Reconstruction of Medical Images

Author:

Qiu Feng1ORCID,Zhu Qingfu1ORCID,Jing Ke1ORCID,Duan Yufei1ORCID

Affiliation:

1. Institute of AI Education, Shanghai Normal University, Shanghai 200233, China

Abstract

Medical computed tomography (CT), nuclear magnetic resonance imaging (MRI), and other imaging facility produce a large amount of medical image data which has great diagnosis value. Traditional three-dimensional reconstruction of medical images has high requirements for graphics acceleration hardware and the processing speed. In this study, VxWorks embedded real-time process feature is used for CT or MRI DICOM data to real restoration and establishment of virtual three-dimensional model for realizing volume reconstruction, maximum density projection, multiplane reconstruction, dynamic interactive cutting of any surface, dynamic display of three-dimensional model and two-dimensional sectional image, surgical path planning and interactive surgical simulation, and determine the best surgical scheme. The practical application shows that the virtual simulation environment supports the seamless transplantation of code, function debugging, and interaction and solves the issue of high requirements for hardware. It can meet the needs of scientific research and teaching for clinicians and medical imaging workers and can be widely used in the training of virtual surgical anatomy for medical students.

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference22 articles.

1. Study on a 3D medical image registration method based on fiducial markers;Y. Feng;China Medical Equipment, 2018,2018

2. Design of brain CT intelligent assistant diagnosis and analysis method on convolutional neural network;H. Zhang;Electronic Design Engineering,2020

3. Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform

4. Improved Image Fusion of Colored and Grayscale Medical Images Based on Intuitionistic Fuzzy Sets

5. Medical Image Fusion Based on Fast Finite Shearlet Transform and Sparse Representation

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