PULMONARY CT IMAGE ANALYSIS AND COMPUTER AIDED DETECTION

Author

Sonka, M. ; Tschirren, J. ; Ukil, S. ; Zhang, X. ; Xu, Y. ; Reinhardt, J.M. ; van Beek, E.J. ; McLennan, G. ; Hoffman, E.A.

Author_Institution

Dept. of Electr. & Comput. Eng., Biomed. Eng., Internal Medicine, & Radiol., Iowa Univ., Iowa City, IA

fYear

2007

fDate

12-15 April 2007

Firstpage

500

Lastpage

503

Abstract

This short article summarizes the use of current CT image data for a comprehensive assessment of pulmonary structure and function. It identifies the need for the development of highly automated methods and techniques allowing quantitative analysis of lungs, lung lobes, airway trees, and pulmonary parenchyma. Such analyses serve as the stepping stones for more sophisticated computer-aided detection approaches capable of parenchymal tissue characterization and identification of pulmonary nodules, some of which are discussed

Keywords

biomedical measurement; blood vessels; cancer; computerised tomography; image registration; image segmentation; lung; medical image processing; airway tree labeling; airway tree registration; airway tree segmentation; airway trees; automated methods; computer aided detection; computerized tomography; lung lobe segmentation; lung lobes; lung segmentation; lungs; parenchymal tissue; pulmonary function; pulmonary image analysis; pulmonary nodules; pulmonary parenchyma; pulmonary structure; Biomedical imaging; Computed tomography; Coronary arteriosclerosis; Diseases; Force measurement; Image analysis; Image segmentation; Image texture analysis; Lungs; Volume measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on

Conference_Location

Arlington, VA

Print_ISBN

1-4244-0672-2

Electronic_ISBN

1-4244-0672-2

Type

conf

DOI

10.1109/ISBI.2007.356898

Filename

4193332