The survey of medical image 3D reconstruction:
Abstract
Medical image 3D reconstruction is an important research and application areas. A comprehensive survey is given in four aspects: the general process of medical image 3D reconstruction, image fusion, image segmentation, and 3D reconstruction algorithm.
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3D reconstruction constitutes the necessary step towards biomedical modeling of organs, dynamic functionality, diffusion processes, hemodynamic flow and fluid dynamics in arteries, as well as mechanical loads and properties of body parts, tumors, lesions and vessels.
“Furthermore, 3D reconstruction constitutes the necessary step towards biomedical modeling of organs, dynamic functionality, diffusion processes, hemodynamic flow and fluid dynamics in arteries, as well as mechanical loads and properties of body parts, tumors, lesions and vessels, such as wall / shear stress and strain and tissue displacement [194].”
From AI in Medical Imaging Informatics: Current Challenges and Future Directions (2020) · cites this paper as [194]
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- Authors
- Zheng, L., Li, G., & Sha, J.
- Affiliations
- Tongji University (CN)
- Venue
- SPIE Proceedings
- Publisher
- SPIE
- Published
- 2007-05-04
- Pages
- 65342K-65342K-6
- ISSN
- 0277-786X (ISSN-L)
- OpenAlex
- W2042822691
- Cited by
- 9
- References
- 0
- Citations by year
- 2024: 1 · 2020: 2 · 2019: 1 · 2018: 1 · 2017: 1 · 2016: 1 · 2013: 1
- FWCI
- 0.00
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Engineering › Biomedical Engineering › Anatomy and Medical Technology
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Keywords
- image fusion, image segmentation, 3D reconstruction algorithms, diagnostic imaging
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