Integrated system for CT-based assessment of parenchymal lung disease

Author

Guo, J. ; Reinhardt, J.M. ; Kitaoka, Hiroko ; Zhang, L. ; Sonka, Milan ; McLennan, G. ; Hoffman, E.A.

Author_Institution

Departments of Radiol., Biomed. Eng., Iowa Univ., Iowa City, IA, USA

fYear

2002

fDate

2002

Firstpage

871

Lastpage

874

Abstract

High-resolution X-ray CT imaging can provide detailed structural and functional information about the respiratory system. We describe a system to facilitate quantitative regional assessment of the lung parenchyma from volumetric CT images. The system contains image segmentation algorithms to identify the key anatomic structures of the lung and image analysis algorithms to examine the lung parenchymal tissue. The system can be used to study the normal lung and to detect changes in the lung tissue due to disease processes such as emphysema.

Keywords

biological tissues; computerised tomography; diseases; image resolution; image segmentation; lung; medical image processing; pneumodynamics; CT-based assessment; disease processes; emphysema; functional information; high-resolution X-ray CT imaging; image analysis algorithms; image segmentation algorithms; integrated system; key anatomic structures; lung parenchyma; lung parenchymal tissue; normal lung; parenchymal lung disease; quantitative regional assessment; respiratory system; structural information; volumetric CT images; Anatomy; Biomedical engineering; Biomedical imaging; Computed tomography; Data mining; Diseases; Image analysis; Image segmentation; Lungs; Size measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on

Print_ISBN

0-7803-7584-X

Type

conf

DOI

10.1109/ISBI.2002.1029398

Filename

1029398