- Incremental Engineering of Lung Segmentation Systems
Avishkar Misra, Arcot Sowmya, Paul Compton · 2011
In recent decades, medical imaging has become an increasingly invaluable resource for physicians by providing them with a noninvasive view inside the patient, allowing them to diagnose diseases (Doi 2005), plan for surgical interventions (Archip et al. 2006), and evaluate the effectiveness of treatments (Pien et al. 2005). More than 95 million high-tech scans, including computed tomography (CT), magnetic resonance imaging, and positron emission tomography, are conducted in the United States each year (Kolata 2009). Automatic CONTENTS 2.1 Background ........................................................................................................................... 19 2.1.1 Approaches to Medical Image Segmentation ...................................................... 19 2.1.1.1 Classical Image Analysis ......................................................................... 20 2.1.1.2 Knowledge-Based or Syntactic Techniques .......................................... 20 2.1.1.3 Deformable Model Fitting ....................................................................... 21 2.1.1.4 Classication-Based Techniques .............................................................22 2.1.1.5 Atlas-Based Segmentation via Registration ..........................................22