DocumentCode
1740866
Title
Automatic segmentation of lung regions in chest radiographs: a model guided approach
Author
Luo, Hui ; Gaborski, R. ; Acharya, R.
Author_Institution
Dept. of Comput. Sci. & Eng., State Univ. of New York, Buffalo, NY, USA
Volume
2
fYear
2000
fDate
10-13 Sept. 2000
Firstpage
483
Abstract
In this paper, a knowledge-based, fully automatic method for identifying lung regions in digital chest radiographs is described. The method uses an object-oriented knowledge model to appropriately integrate the anatomical knowledge and image processing routines in lung detection. A series of chest radiographs are employed to test the proposed method; the experimental results are encouraging.
Keywords
diagnostic radiography; image recognition; image segmentation; knowledge based systems; lung; medical image processing; object-oriented methods; anatomical knowledge; automatic segmentation; chest radiographs; digital chest radiographs; image processing routines; knowledge-based fully automatic method; lung regions; model guided approach; object-oriented knowledge model; Anatomy; Deformable models; Diagnostic radiography; Histograms; Image processing; Image segmentation; Lungs; Object oriented modeling; Pixel; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC, Canada
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.899459
Filename
899459
Link To Document