DocumentCode :
2311141
Title :
Shape based region growing using derivatives of 3D medical images: application to semiautomated detection of pulmonary nodules
Author :
Dehmeshki, Jamshid ; Ye, Xujiong ; Costello, John
Author_Institution :
Medicsight PLC, London, UK
Volume :
1
fYear :
2003
fDate :
14-17 Sept. 2003
Abstract :
This paper presents a new method for shape based segmentation of 3D medical images. 3D geometric information is calculated for each voxel by computing the partial derivatives of the 3D image. The shape features of the iso-intensity surfaces are subsequently extracted. The extracted shape features are combined with 3D intensity-based region growing to give accurate separation of connected objects having different shapes but similar intensity values. We have applied this method to both synthetic and real 3D CT lung images. The experimental results demonstrate that the presented method, unlike the traditional intensity-based method, is able to segment connected objects accurately. A sphere can be differentiated from a connected cylindrical shape within the synthetic data. In the case of the real 3D CT lung images, all of the nodules can be detected and separated accurately from adjoining blood vessel or from the lung wall.
Keywords :
blood vessels; feature extraction; image segmentation; lung; medical image processing; partial differential equations; 3D geometric information calculation; 3D medical image segmentation; adjoining blood vessel; feature extraction; iso-intensity surface; partial derivative computation; pulmonary nodules semiautomated detection; real 3D CT lung image; shape based region growing; Biomedical imaging; Blood vessels; Computed tomography; Convolution; Feature extraction; Image segmentation; Lungs; Shape; Smoothing methods; Surface fitting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-7750-8
Type :
conf
DOI :
10.1109/ICIP.2003.1247155
Filename :
1247155
Link To Document :
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