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Direct 3D model extraction method for color volume images
- Source :
- Technology and Health Care
- Publication Year :
- 2021
- Publisher :
- IOS Press, 2021.
-
Abstract
- BACKGROUND: There is a great demand for the extraction of organ models from three-dimensional (3D) medical images in clinical medicine diagnosis and treatment. OBJECTIVE: We aimed to aid doctors in seeing the real shape of human organs more clearly and vividly. METHODS: The method uses the minimum eigenvectors of Laplacian matrix to automatically calculate a group of basic matting components that can properly define the volume image. These matting components can then be used to build foreground images with the help of a few user marks. RESULTS: We propose a direct 3D model segmentation method for volume images. This is a process of extracting foreground objects from volume images and estimating the opacity of the voxels covered by the objects. CONCLUSIONS: The results of segmentation experiments on different parts of human body prove the applicability of this method.
- Subjects :
- Computer science
volume data segmentation
0206 medical engineering
Biomedical Engineering
Biophysics
Health Informatics
Bioengineering
02 engineering and technology
Virtual human
computer.software_genre
Image (mathematics)
Biomaterials
Imaging, Three-Dimensional
matting components
Voxel
0202 electrical engineering, electronic engineering, information engineering
Humans
Segmentation
Computer vision
Eigenvalues and eigenvectors
Virtual actor
3D organ models
business.industry
Process (computing)
020601 biomedical engineering
020201 artificial intelligence & image processing
Artificial intelligence
Laplacian matrix
business
computer
Algorithms
Research Article
Information Systems
Volume (compression)
Subjects
Details
- ISSN :
- 18787401 and 09287329
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- Technology and Health Care
- Accession number :
- edsair.doi.dedup.....d60c4a4d08ca5302e07f4b8295dfbcc7