DocumentCode :
3585911
Title :
ARG: A semi-automatic system for ROI detection on Renal Scintigraphic images
Author :
Aribi, Yassine ; Wali, Ali ; Hamza, Fatma ; Guermazi, Fadhel ; Alimi, Adel M.
Author_Institution :
REGIM: Res. Groups in Intell. Machines, Univ. of Sfax, Sfax, Tunisia
fYear :
2014
Firstpage :
303
Lastpage :
308
Abstract :
In this paper, we propose, a semi-automatic approach for the identification of Regions Of Interest (ROI) of the kidneys (healthy and diseased) on dynamic scintigraphic images. The triggering of the method depend on the intervention of an expert, such as a specialist in nuclear medicine. Our contribution is made obvious here through referring to the adaptive threshold relying on the calculation of the gradients histogram and thus accurately detecting the places of the region of interest. The adaptive threshold will be the average of the histogram of the matrix of the calculated gradients. This approach was tested on dynamic scintigraphic images acquired clinically and satisfactory results are obtained.
Keywords :
kidney; medical image processing; radioisotope imaging; ARG; ROI detection; ROI identification; adaptive threshold; gradient histogram; kidneys; nuclear medicine; regions of interest identification; renal scintigraphic images; semiautomatic system; Biomedical imaging; Heuristic algorithms; Histograms; Hybrid intelligent systems; Image segmentation; Kidney; Nuclear medicine; ARG; ROI detection; adaptive threshold; scintigraphic images;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2014 14th International Conference on
Print_ISBN :
978-1-4799-7632-4
Type :
conf
DOI :
10.1109/HIS.2014.7086166
Filename :
7086166
Link To Document :
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