机构

• 长春光学精密机械与物... [1]
• 沈阳自动化研究所 [1]
• 合肥物质科学研究院 [1]

采集方式

• OAI收割 [3]

内容类型

• 会议论文 [2]
• 期刊论文 [1]

发表日期

• 2022 [1]
• 2020 [1]
• 2011 [1]

学科主题

筛选

浏览/检索结果: 共3条，第1-3条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2022 作者:  Wang, Tengfei;  He, Tiancheng;  Zhang, Zhenglin;  Chen, Qi;  Zhang, Liwei   |  收藏  |  浏览/下载：38/0  |  提交时间：2022/12/23 Image-guided intervention system  Patient-specific respiratory motion model  Image registration  Surgical path planning   Design and Development of A Knee Surgery Planning System 会议论文  OAI收割 Hefei, China, August 22-24, 2020 作者:  Gao L(高丽);  Ding KL(丁柯蕾);  Liu JN(刘嘉男);  Song GL(宋国立);  Yu NB(于宁波)   |  收藏  |  浏览/下载：19/0  |  提交时间：2020/10/10 Knee surgery  surgical planning  total knee arthroplasty  virtual osteotomy  prosthesis installation   MGRG-morphological gradient based 3D region growing algorithm for airway tree segmentation in image guided intervention therapy (EI CONFERENCE) 会议论文  OAI收割 2nd International Symposium on Bioelectronics and Bioinformatics, ISBB 2011, November 3, 2011 - November 5, 2011, Suzhou, China 作者:  Zhang T.;  Gao X. 收藏  |  浏览/下载：43/0  |  提交时间：2013/03/25 Accurate surgical planning and guidance plays an important role in successful implementation of image guided intervention. In interventional lung cancer diagnosis and treatments  precise segmentation of airway trees from lung CT images provides crucial visualization for preoperative planning and intraoperative guidance to avoid major trachea injury. While 3D region growing can segment main the parts of an airway tree (trachea  left and right main bronchus  as well as bronchi)  the method fails at bronchiole segmentation and is not robust. Mathematical morphology is an anatomical detective. In this paper  we propose a morphological gradient based region growing (MGRG) algorithm to overcome the intensity inhomogeneity  and improve the robustness of 3D region growing on extraction of bronchioles. The MGRG algorithm is validated using lung CT images  and results show that it is able to segment bronchioles  and outperforms the traditional region growing method on airway tree segmentation. 2011 IEEE.