Seshamani Sharmishtaa, Lau William, Hager Gregory
Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Med Image Comput Comput Assist Interv. 2006;9(Pt 1):355-63. doi: 10.1007/11866565_44.
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.
随着外科手术和诊断程序的微创技术不断进步，对改进体内结构可视化方法的需求日益增长。视频拼接就是实现这一目的的一种方法。该方法通过将视频序列中的图像拼接在一起，提供更广阔的场景视野。对于图像引导手术和诊断而言，尤为重要的是需要在线处理以提供实时反馈和可视化效果。我们提出了一种应用于内窥镜图像的在线视频拼接方法，并给出了显微视网膜成像和折反射式子宫内膜成像的示例。
