Paper
5 May 2004 Platform for intraoperative analysis of video streams
Author Affiliations +
Abstract
Interactive, image-guided surgery (IIGS) has proven to increase the specificity of a variety of surgical procedures. However, current IIGS systems do not compensate for changes that occur intraoperatively and are not reflected in preoperative tomograms. Endoscopes and intraoperative ultrasound, used in minimally invasive surgery, provide real-time (RT) information in a surgical setting. Combining the information from RT imaging modalities with traditional IIGS techniques will further increase surgical specificity by providing enhanced anatomical information. In order to merge these techniques and obtain quantitative data from RT imaging modalities, a platform was developed to allow both the display and processing of video streams in RT. Using a Bandit-II CV frame grabber board (Coreco Imaging, St. Laurent, Quebec) and the associated library API, a dynamic link library was created in Microsoft Visual C++ 6.0 such that the platform could be incorporated into the IIGS system developed at Vanderbilt University. Performance characterization, using two relatively inexpensive host computers, has shown the platform capable of performing simple image processing operations on frames captured from a CCD camera and displaying the processed video data at near RT rates both independent of and while running the IIGS system.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Logan Clements and Robert L. Galloway Jr. "Platform for intraoperative analysis of video streams", Proc. SPIE 5367, Medical Imaging 2004: Visualization, Image-Guided Procedures, and Display, (5 May 2004); https://doi.org/10.1117/12.536155
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Video

Video processing

Image processing

Detection and tracking algorithms

Endoscopy

Computing systems

Frame grabbers

Back to Top