Automatic Extraction of Lung Boundaries by a Knowledge-Based Method

The aim of this paper is to develop accurate and reliable methods for automated detection of the edges of the lung by a knowledge-based approach. First, the system initialises the ROI(Region Of Interest) using `unseeded region growing' algorithm. Then IPE(Image Processing Engine) generates candidates within the ROI. The candidates are matched to an anatomical model of the lung boundary using parametric features. A modular system architecture was developed which incorporates the model, image processing routines, an inference engine and a blackboard. 1

• Type: Conference
• Year: 2000
• Where: VIP
• Authors: Mira Park, Laurence S. Wilson, Jesse S. Jin
• Keywords: Knowledge-based Approach, Region Growing, Reliable Methods, VIP 2000, VIP 2001