Lung boundary detection method based on binary morphology theory / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
;
(6): 413-417, 2010.
Article
in Chinese
| WPRIM
| ID: wpr-330548
ABSTRACT
A method is presented in this paper which processes the human chest CT image with binary morphology theory, then marks and searches each connected domain to find chest contour and boundaries of lung and esophagus. Comparing with original CT image, the extracted boundaries have sufficient accuracy and human eyes cannot distinguish the error.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Image Processing, Computer-Assisted
/
Pattern Recognition, Automated
/
Diagnostic Imaging
/
Tomography, X-Ray Computed
/
Lung
/
Methods
Type of study:
Diagnostic study
Limits:
Humans
Language:
Chinese
Journal:
Chinese Journal of Medical Instrumentation
Year:
2010
Type:
Article
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