| Literature DB >> 18002076 |
Irene Cheng1, Sharmin Nilufar, Carlos Flores-Mir, Anup Basu.
Abstract
In this paper we describe a methodology for constructing the airways from Cone Beam CT data and representing changes before and after a medical procedure. A seed region is automatically detected for the first CT slice using a heuristic algorithm incorporating morphological filtering. Our approach then extracts relevant contours on 3D slices by using gradient vector flow (GVF) snakes, modified by an edge detection and snake-shifting step. Following this, a 3D model is constructed. We then estimate the volume of the airway based on segmented 3D shape.Mesh：
Year: 2007 PMID： 18002076 DOI： 10.1109/IEMBS.2007.4352410
Source DB: PubMed Journal: Annu Int Conf IEEE Eng Med Biol Soc ISSN： 2375-7477