Automatic segmentation and three-dimensional reconstruction of mandible from maxillofacial CT image(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2023年第7期
- Page:
- 841-846
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Automatic segmentation and three-dimensional reconstruction of mandible from maxillofacial CT image
- Author(s):
- CHEN Ziyu; HU Zhi
- School of Electrical and Electronic Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
- Keywords:
- Keywords: mandible CT image three-dimensional reconstruction automatic segentation U-Net
- PACS:
- R318;TP391
- DOI:
- DOI:10.3969/j.issn.1005-202X.2023.07.008
- Abstract:
- Abstract: An automatic extraction and reconstruction method of the mandible is proposed. The mandible is automatically segmented from the maxillofacial CT image using U-Net. Based on the marching cubes algorithm, a fusion MCRC algorithm is adopted to reconstruct the three-dimensional model of the segmentation results, and the model surface is optimized by smoothing. The results show that the method is of high practical value for it improves the ability of real-time interactive rendering, reduces the workload of manual annotation, effectively avoids the production of triangular patches, improves the display quality, and enhances the structural clarity and realism.
Last Update: 2023-07-15