DocumentCode :
2382206
Title :
A statistical approach for automatic kidneys detection
Author :
Touhami, Wala ; Boukerroui, Djamal ; Cocquerez, Jean-Pierre
Author_Institution :
Univ. de Technol. de Compiegne, France
Volume :
3
fYear :
2005
fDate :
11-14 Sept. 2005
Abstract :
The problem we address in this paper is an automatic detection of kidneys with cysts in abdominal 2D computed tomography images. Identifying abdominal organs is a key step in medical image retrieval application. However, due to gray levels similarities of adjacent organs, contrast media effect, and relatively high variation of organ´s positions and shapes, automatically identifying abdominal organs has always been a high challenging task. In this paper, we present an original method, in a statistical framework, for fully automatic kidneys detection. The method is tested on over 400 clinically acquired images and very promising results were obtained.
Keywords :
computerised tomography; image retrieval; kidney; medical image processing; statistical analysis; 2D computed tomography images; abdominal cysts; abdominal organs identification; adjacent organs; automatic kidneys detection; contrast media effect; medical image retrieval; organ positions; statistical approach; Abdomen; Biomedical imaging; Computed tomography; Content based retrieval; Image retrieval; Image segmentation; Medical diagnostic imaging; Pixel; Shape; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
Type :
conf
DOI :
10.1109/ICIP.2005.1530498
Filename :
1530498
Link To Document :
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