Conference proceeding
Automatic axis generation for 3D virtual-bronchoscopic image assessment
Proceedings of SPIE, Vol.3337(1), pp.73-84
Medical Imaging 1998: Physiology and Function from Multidimensional Images
07/03/1998
DOI: 10.1117/12.312590
Abstract
Virtual bronchoscopy is emerging as a means for assessing high-resolution 3D CT images of the chest. The central axes, or paths, of the airways can provide virtual-bronchoscopic systems with a logical reference frame for quantitation and navigation. Unfortunately, the manual and automatic methods proposed to date for determining these axes are either time- consuming, error prone, or provide imprecise results. We give a preliminary presentation of an adaptive automated approach for finding smooth central axes through the major airways. Using this method, we are able to extract multiple axes through a 3D image in only a few minutes for a typical 512 by 512 by 25 CT image. The method works on anisotropically sampled gray-scale images and requires no prior segmentation. We describe the method and present initial validation results for phantom, animal, and human images. Visual results are also provided using a virtual bronchoscopic system.
Details
- Title: Subtitle
- Automatic axis generation for 3D virtual-bronchoscopic image assessment
- Creators
- Roderick D Swift - Pennsylvania State UniversityWilliam E Higgins - Pennsylvania State UniversityEric A Hoffman - University of IowaGeoffrey McLennan - University of IowaJoseph M Reinhardt - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.3337(1), pp.73-84
- Conference
- Medical Imaging 1998: Physiology and Function from Multidimensional Images
- DOI
- 10.1117/12.312590
- ISSN
- 0277-786X
- Language
- English
- Date published
- 07/03/1998
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Internal Medicine; Radiology
- Record Identifier
- 9984197132202771
Metrics
2 Record Views