Knee tissues segmentation and display based on GPU(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2022年第12期
- Page:
- 1490-1494
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Knee tissues segmentation and display based on GPU
- Author(s):
- JIANG Xiangang1; ZHANG Hongbin2
- 1. School of Science, East China Jiaotong University, Nanchang 330013, China 2. School of Software, East China Jiaotong University, Nanchang 330013, China
- Keywords:
- Keywords: knee arthritis meniscus 3D segmentation diffusion-based region growing algorithm
- PACS:
- R318；TP391
- DOI:
- DOI:10.3969/j.issn.1005-202X.2022.12.006
- Abstract:
- Abstract: Considering that knee tissues have complex adhesion and overlapping in multimodal image, a new diffusion-based region growing algorithm combining edge constrain and newly-added seed point luminance constrain is presented to control the iteration of region growing. The algorithm and relevant filtering algorithms are implemented by GPU. The proposed method focuses on searching the nearest connection between the femur and tibia for meniscus and parenchyma segmentations. The experiment results show that the proposed method can provide virtual reality for the segmentations of knee tissues and relevant lesions, and offer guidance for minimally invasive surgery and interventional therapy for knee diseases.
Last Update: 2022-12-23