Paper Info
Title
Automatic detection of blood vessels from CTA images employing morphological operation
Abstract
Recently, the disease arteriosclerosis has rapidly increased, and in particular the type that originates in the peripheral arteries of the hands and feet and is called arteriosclerosis obliterans (ASO). ASO is one of the typical diseases that cause chronic ischemia of the limbs and lead to obstruction of the blood flow. In diagnosing ASO, lower contrast enhanced computed tomography (CT) is useful for observing the arteries. However, it is a huge task for radiologists to separate accurately only the arteries which are involved in the disease, using the manual or semiautomatic proprietary software which is supplied for lower computed tomographic angiography (CTA). We have developed a new technique for the detection of arteries from CTA images by the use of a morphological operation. In this technique an N-Quoit filter, which is a useful filter for the detection of lung nodules, is applied to identify the arteries in CTA images. Some experimental results have shown good performance in the segmentation of arteries.
Year
DOI
Venue
2009
10.1007/s10015-008-0594-5
Artificial Life and Robotics
Keywords
DocType
Volume
blood flow
Journal
13
Issue
ISSN
Citations 
2
1614-7456
0
PageRank 
References 
Authors
0.34
2
5
Name
Order
Citations
PageRank
Yoshinori Itai1213.86
Akiyoshi Yamamoto2153.46
Hyoungseop Kim329336.05
Joo Kooi Tan410529.88
Seiji Ishikawa534249.06