DocumentCode :
456430
Title :
Automatically real time region of interest detection method applied to radiological images
Author :
Lahfi, Yéhia ; Lemoine, Jacques
Author_Institution :
Lab. Images, Signaux et Systmes Intelligents, Univ. Paris XII, Creteil
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
1125
Lastpage :
1129
Abstract :
The real time medical image processing becomes more and more applied during the clinical routines, particularly for the radiological intervention based. In the framework of the abdominal aneurysm pathology treatment by an endovascular prothesis, we are working in developing an image processing approach to assist the endovascular prothesis positioning. In this application, we aim to optimise the total system treatment time by reducing the size of treated image matrix without any loss of useful information during the different steps of treatment. Therefore, a pre-treatment step is necessary to be applied to the radiological images. In this paper, we present two methods to detect automatically the region of interest in the radiological control image which contains only the observed part of the body. These methods are based mainly on the average amplitude projection method applied along all the rows and columns of the image. The time of execution of these methods was an important criterion imposed during the developing
Keywords :
diseases; medical image processing; patient treatment; radiology; abdominal aneurysm pathology treatment; amplitude projection; clinical routines; endovascular prothesis positioning; image matrix; radiological control image; real time medical image processing; real time region of interest detection; Abdomen; Aneurysm; Automatic control; Biomedical image processing; Biomedical imaging; Hardware; Image processing; Pathology; Radio control; Surgery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
Type :
conf
DOI :
10.1109/ICTTA.2006.1684532
Filename :
1684532
Link To Document :
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