DocumentCode :
3488420
Title :
Robust extraction of urinary stones from CT data using attribute filters
Author :
Ouzounis, Georgios K. ; Giannakopoulos, Stilianos ; Simopoulos, Constantinos E. ; Wilkinson, Michael H F
Author_Institution :
Sch. of Med., Democritus Univ. of Thrace, Alexandroupoli, Greece
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
2629
Lastpage :
2632
Abstract :
In medical imaging, anatomical and other structures such as urinary stones, are often extracted with the aid of active contour/ surface models. Active surface-based methods have robustness limitations and are computationally expensive. In this paper we present a morphological method based on attribute filters and the newly presented sphericity attribute. The operators involved, extract the targeted objects in their entirety without shape/size distortions and proceed rapidly. Experiments on three real 3D data-sets demonstrate their efficiency and their performance is discussed.
Keywords :
computerised tomography; diseases; feature extraction; kidney; medical image processing; CT; active surface-based methods; attribute filters; medical imaging; sphericity; urinary stones; Active contours; Biomedical imaging; Bladder; Computed tomography; Data mining; Filtering; Filters; Robustness; Shape; Surface morphology; Urinary stones; attribute filters; sphericity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5414096
Filename :
5414096
Link To Document :
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