抄録
In the medical field, one of the most frequently performed medical practice is intravenous injection and it is also a significant factor to increase the workload of medical physicians. Recently, many support systems have been developed to give better injection and to reduce the workload. However, most of them are large-scaled and expensive. To deal with this problem we have been engaged in developing a low-cost injection support system by using a USB camera and robot. This paper presents a vein segmentation method for this system. In this method, an emphasizing process is firstly described to accentuate visual veins by focusing on the red component of the color image. Then, after thresholding a number of randomly selected sub-images with different sizes, the visual veins are obtained by aggregating those thresholded sub-images into a continuous segmented image by majority vote. The performance of the proposed method is demonstrated by making experiments with 15 subjects' vein images.
| 元の言語 | English |
|---|---|
| ページ | 2290-2295 |
| ページ数 | 6 |
| 出版物ステータス | Published - 2013 1 1 |
| 外部発表 | Yes |
| イベント | 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 - Nagoya, Japan 継続期間: 2013 9 14 → 2013 9 17 |
Other
| Other | 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 |
|---|---|
| 国 | Japan |
| 市 | Nagoya |
| 期間 | 13/9/14 → 13/9/17 |
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ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering
これを引用
Visual vein segmentation for an intravenous injection support system. / Yimit, Adiljan; Takagi, Motoki; Hagihara, Yukari; Miyoshi, Tasuku; Hagihara, Yoshihiro.
2013. 2290-2295 論文発表場所 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013, Nagoya, Japan.研究成果: Paper
}
TY - CONF
T1 - Visual vein segmentation for an intravenous injection support system
AU - Yimit, Adiljan
AU - Takagi, Motoki
AU - Hagihara, Yukari
AU - Miyoshi, Tasuku
AU - Hagihara, Yoshihiro
PY - 2013/1/1
Y1 - 2013/1/1
N2 - In the medical field, one of the most frequently performed medical practice is intravenous injection and it is also a significant factor to increase the workload of medical physicians. Recently, many support systems have been developed to give better injection and to reduce the workload. However, most of them are large-scaled and expensive. To deal with this problem we have been engaged in developing a low-cost injection support system by using a USB camera and robot. This paper presents a vein segmentation method for this system. In this method, an emphasizing process is firstly described to accentuate visual veins by focusing on the red component of the color image. Then, after thresholding a number of randomly selected sub-images with different sizes, the visual veins are obtained by aggregating those thresholded sub-images into a continuous segmented image by majority vote. The performance of the proposed method is demonstrated by making experiments with 15 subjects' vein images.
AB - In the medical field, one of the most frequently performed medical practice is intravenous injection and it is also a significant factor to increase the workload of medical physicians. Recently, many support systems have been developed to give better injection and to reduce the workload. However, most of them are large-scaled and expensive. To deal with this problem we have been engaged in developing a low-cost injection support system by using a USB camera and robot. This paper presents a vein segmentation method for this system. In this method, an emphasizing process is firstly described to accentuate visual veins by focusing on the red component of the color image. Then, after thresholding a number of randomly selected sub-images with different sizes, the visual veins are obtained by aggregating those thresholded sub-images into a continuous segmented image by majority vote. The performance of the proposed method is demonstrated by making experiments with 15 subjects' vein images.
KW - Image processing
KW - Intravenous injection
KW - Medical system
KW - Vein segmentation
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UR - http://www.scopus.com/inward/citedby.url?scp=84888633766&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:84888633766
SP - 2290
EP - 2295
ER -