2024-03-29T09:23:48Z
https://niigata-u.repo.nii.ac.jp/oai
oai:niigata-u.repo.nii.ac.jp:00004124
2022-12-15T03:37:09Z
453:454
506:507:508
Preliminary Study on Automated Detection of Cerebral Vessels from Head CTA Images
頭部CTA画像における脳血管領域の自動抽出の試み
頭部CTA画像における脳血管領域の自動抽出の試み
猪又, 聖美
47556
李, 鎔範
9
蔡, 篤儀
47558
横山, 龍二郎
47559
原, 武史
47560
藤田, 広志
47561
兼松, 雅之
47562
岩間, 亨
47563
星, 博昭
47564
Computed tomographic angiography(CTA)
Cerebral vessels
Automated segmentation
Laplacian-like filter
Multi-planar processing
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.
journal article
日本放射線技術学会
2004-09
application/pdf
日本放射線技術学会雑誌
9
60
1325
1331
日本放射線技術学会雑誌
AN00197773
03694305
https://niigata-u.repo.nii.ac.jp/record/4124/files/jrst_60_9_1325_1331_2004.pdf
jpn