Fast extraction of tissues outside organs by clustering and geometric constraints(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2022年第5期
- Page:
- 542-546
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Fast extraction of tissues outside organs by clustering and geometric constraints
- Author(s):
- JIANG Xiangang1; ZHANG Hongbin2
- 1. School of Science, East China Jiaotong University, Nanchang 330013, China 2. School of Information Engineering, East China Jiaotong University, Nanchang 330013, China
- Keywords:
- Keywords: tissues peeling geometric constraint clustering signed distance field
- PACS:
- R318；TP391
- DOI:
- DOI:10.3969/j.issn.1005-202X.2022.05.003
- Abstract:
- Abstract: Due to the complex adhesion and overlapping of tissues outside human organs, remaining reasonable reference tissues outside organs while peeling partial tissues is of great significance for providing visual guidance for minimally invasive surgery, etc. A novel method to extract the tissues outside organs by attributes clustering and geometric constraints is proposed in the study, and moreover, hole filling is effectively implemented by signed distance field operations. The data processing of segmentation and rendering is operated interactively between GPU and CPU for completing the simulation rendering of organ segmentation and peeling. The experiments show that the proposed method can realize real-time virtual displays of the segmentation and peeling of the whole and partial tissues outside different organs, which provides guidance for minimally invasive surgery and interventional therapy.
Last Update: 2022-05-27