Abstract
A novel centerline planning algorithm for virtual endoscopy is proposed. It can be executed in original images data directly, no longer subjects to the results of segmentation. It is based on B-Snake model, and a moving polyhedron centralize method is defined, which provides a centralizing force as the external force of B-Snake model. And the internal force of the Snake model is removed, so as to control the model easily. With the characteristic of B-spline, a few control points are chosen and the smooth and continuous centerline is got effectively. Error analysis and experimental results show the validity of the proposed method.
Highlights
Virtual endoscopy is the computerized creation of images depicting the inside of patient anatomy reconstructed in a virtual reality environment [1]
In order to let a virtual endoscope get as broad vision as possible when navigation, the centerlines of tubular structures are usually extracted as navigation paths of virtual endoscopy, and the centerlines are usually expressed as the medial axis of lumen
We will propose a moving polyhedron centralize method, which can provide the external force for B-Snake model to pull the model curve around boundary to the center of tubular structures
Summary
Virtual endoscopy is the computerized creation of images depicting the inside of patient anatomy reconstructed in a virtual reality environment [1]. A virtual endoscopy system usually consists of five key models, including image acquisition, image segmentation, path planning, real-time rendering and navigation [2]. Among these models, navigation is one of the most important ones, which provides the interactive user interface. Many centerline planning algorithms are invented to extract the centerline of tubular organs automatically They can be divided in three classes: topological thinning, distance mapping and energy model [3,4,5]. A novel centerline planning algorithm based on B-Snake model is proposed, which does not require pre-segmentation, and can be used to extract centerline of anatomical cavities directly in original images.
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