Title :
Extraction of arteriovenous malformation with factor analysis
Author :
Nyui, Yoshiyuki ; Ogawa, Koichi ; Kunieda, Etsuo
Author_Institution :
Dept. of Electron. Inf., Hosei Univ., Tokyo, Japan
Abstract :
The intracranial arteriovenous malformation (AVM) has a very complex shape and it is difficult to find. The aim of this study is to devise a new method for identifying the area of this disease accurately. In the identification of the area, we used the information on the blood flow conditions (inflow and outflow) of these blood vessels. To clarify the flow conditions, we acquired dynamic X-ray CT images with contrast and opaque media and analyzed these images by means of a factor analysis method. The results of preliminary experiments proved the effectiveness of the proposed method.
Keywords :
X-ray imaging; blood vessels; computerised tomography; diseases; feature extraction; haemodynamics; medical image processing; arteriovenous malformation extraction; blood flow conditions; blood vessels; clinical use; contrast media; disease area identification; dynamic X-ray CT images; factor analysis method; inflow; opaque media; outflow; Computed tomography; Data acquisition; Image analysis; Image reconstruction; Image sequence analysis; Informatics; Performance analysis; Pixel; Principal component analysis; X-ray imaging;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899514
