title: Real-time endoscopic mosaicking.
abstract: With the advancement of minimally invasive techniques for surgical and diagnostic procedures, there is a growing need for the development of methods for improved visualization of internal body structures. Video mosaicking is one method for doing this. This approach provides a broader field of view of the scene by stitching together images in a video sequence. Of particular importance is the need for online processing to provide real-time feedback and visualization for image-guided surgery and diagnosis. We propose a method for online video mosaicking applied to endoscopic imagery, with examples in microscopic retinal imaging and catadioptric endometrial imaging.
authors.affiliation: Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA. sharmi@cs.jhu.edu
authors.forename: Sharmishtaa
authors.initials: S
authors.lastname: Seshamani
authors.forename: William
authors.initials: W
authors.lastname: Lau
authors.forename: Gregory
authors.initials: G
authors.lastname: Hager
mesh_terms: D000465:Algorithms; D003199:Computer Systems; D004724:Endoscopy / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D018715:Microscopy, Video / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D025321:Surgery, Computer-Assisted / Q000379:methods*