Paper
27 February 2014 A near-infrared fluorescence-based surgical navigation system imaging software for sentinel lymph node detection
Jinzuo Ye, Chongwei Chi, Shuang Zhang, Xibo Ma, Jie Tian
Author Affiliations +
Abstract
Sentinel lymph node (SLN) in vivo detection is vital in breast cancer surgery. A new near-infrared fluorescence-based surgical navigation system (SNS) imaging software, which has been developed by our research group, is presented for SLN detection surgery in this paper. The software is based on the fluorescence-based surgical navigation hardware system (SNHS) which has been developed in our lab, and is designed specifically for intraoperative imaging and postoperative data analysis. The surgical navigation imaging software consists of the following software modules, which mainly include the control module, the image grabbing module, the real-time display module, the data saving module and the image processing module. And some algorithms have been designed to achieve the performance of the software, for example, the image registration algorithm based on correlation matching. Some of the key features of the software include: setting the control parameters of the SNS; acquiring, display and storing the intraoperative imaging data in real-time automatically; analysis and processing of the saved image data. The developed software has been used to successfully detect the SLNs in 21 cases of breast cancer patients. In the near future, we plan to improve the software performance and it will be extensively used for clinical purpose.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jinzuo Ye, Chongwei Chi, Shuang Zhang, Xibo Ma, and Jie Tian "A near-infrared fluorescence-based surgical navigation system imaging software for sentinel lymph node detection", Proc. SPIE 8935, Advanced Biomedical and Clinical Diagnostic Systems XII, 89351U (27 February 2014); https://doi.org/10.1117/12.2038757
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KEYWORDS
Imaging systems

Surgery

Breast cancer

Image processing

Navigation systems

Image fusion

Video

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