[Preliminary study on automated detection of cerebral vessels from head CTA images].
We propose an approach for automated detection of cerebral vessels from head CT angiographic images. This approach contains two major features. First, instead of using the well-known image-processing techniques such as thresholding and labeling, a novel Laplacian-like filter is developed and employed in the region of interest in an image to be processed. Second, not only is the axial-view image reconstructed from head CT angiographic images used, but, in addition, the sagittal- and coronal-view images are reconstructed and used. By applying these major features in the process of detection of brain vessels, more accurate results can be achieved. To validate the effectiveness of the proposed method, we applied the method to three clinical cases, all of which were head CT angiograms. Our preliminary results showed that the proposed method has the potential to automatically detect cerebral vessels in head CT angiograms with acceptable accuracy.
Department of Radiological Technology, School of Health Sciences, Faculty of Medicine, Niigata University.
Satomi
S
Inomata
Yongbum
Y
Lee
Du-Yih
DY
Tsai
Ryujiro
R
Yokoyama
Takeshi
T
Hara
Hiroshi
H
Fujita
Masayuki
M
Kanematsu
Toru
T
Iwama
Hiroaki
H
Hoshi
D002533:Cerebral Angiography / Q000379:methods*; D005374:Filtration / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D002532:Intracranial Aneurysm / Q000000981:diagnostic imaging; D014057:Tomography, X-Ray Computed / Q000379:methods*