Development of an ultrasound image-based platform for guiding intravenous injection

碩士 === 國立成功大學 === 資訊工程學系 === 103 === To increase the accuracy of intravenous injection and blood sampling, medical personnel typically use a rubber band tied down the arm to make the vessel swell before inserting needle. However, the positional accuracy of inserting needle mainly depends on the expe...

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Main Authors: Zih-jieLiu, 劉子傑
Other Authors: Shyh-Hau Wang
Format: Others
Language:en_US
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/26213587293654910983
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spelling ndltd-TW-103NCKU53920072016-08-22T04:17:51Z http://ndltd.ncl.edu.tw/handle/26213587293654910983 Development of an ultrasound image-based platform for guiding intravenous injection 發展基於超音波影像之平台以引導靜脈注射 Zih-jieLiu 劉子傑 碩士 國立成功大學 資訊工程學系 103 To increase the accuracy of intravenous injection and blood sampling, medical personnel typically use a rubber band tied down the arm to make the vessel swell before inserting needle. However, the positional accuracy of inserting needle mainly depends on the experience of medical personnel. If the subject has such situations as atrophicans vasculare, small vessel, thick subcutaneous fat, etc., the position of vessel could be difficultly observed to affect the accuracy for inserting needle. Therefore, this study developed an ultrasound-guided needle system for assistive intravenous injection, which combined a needle assistive device and vessel detecting from ultrasound image during intravenous injection, to improve the injection accuracy. First, this system automatically detected the position of maximum vessel size by a series of ultrasound image processing included automatic ROI selection of image, contrast enhancement, filtering, thresholding, smoothing, initial edge extraction, edge deciding, and calculation of vascular size. Subsequently, the appropriate angle of needle insertion was calculated by trigonometric functions to assist needle inserting. In addition, the wavelet thresholding method was used to reduce the artifact from needle to enhance the recognition of needle on ultrasound image. The results showed the percentage error is depend on the frequency (or resolution) of the transducer. If use higher frequency (or resolution) of the transducer, then the percentage error can be reduced; in the part of artifact reduction, the result image will change with brightness prominent threshold value. By comparing with the contrast value, we select the value 0.7 to be the brightness prominent threshold. This study demonstrated that the ultrasound-guided needle system could immediately, accurately, safely and conveniently find the central position of vessel. Furthermore, the components of the system mainly consist of only a needle and transducer holder, and the developed software. Therefore, it tends to be cost-effective and may be applied to improve the accuracy of needle injection for resource-scarce communities. Shyh-Hau Wang 王士豪 2015 學位論文 ; thesis 64 en_US
collection NDLTD
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description 碩士 === 國立成功大學 === 資訊工程學系 === 103 === To increase the accuracy of intravenous injection and blood sampling, medical personnel typically use a rubber band tied down the arm to make the vessel swell before inserting needle. However, the positional accuracy of inserting needle mainly depends on the experience of medical personnel. If the subject has such situations as atrophicans vasculare, small vessel, thick subcutaneous fat, etc., the position of vessel could be difficultly observed to affect the accuracy for inserting needle. Therefore, this study developed an ultrasound-guided needle system for assistive intravenous injection, which combined a needle assistive device and vessel detecting from ultrasound image during intravenous injection, to improve the injection accuracy. First, this system automatically detected the position of maximum vessel size by a series of ultrasound image processing included automatic ROI selection of image, contrast enhancement, filtering, thresholding, smoothing, initial edge extraction, edge deciding, and calculation of vascular size. Subsequently, the appropriate angle of needle insertion was calculated by trigonometric functions to assist needle inserting. In addition, the wavelet thresholding method was used to reduce the artifact from needle to enhance the recognition of needle on ultrasound image. The results showed the percentage error is depend on the frequency (or resolution) of the transducer. If use higher frequency (or resolution) of the transducer, then the percentage error can be reduced; in the part of artifact reduction, the result image will change with brightness prominent threshold value. By comparing with the contrast value, we select the value 0.7 to be the brightness prominent threshold. This study demonstrated that the ultrasound-guided needle system could immediately, accurately, safely and conveniently find the central position of vessel. Furthermore, the components of the system mainly consist of only a needle and transducer holder, and the developed software. Therefore, it tends to be cost-effective and may be applied to improve the accuracy of needle injection for resource-scarce communities.
author2 Shyh-Hau Wang
author_facet Shyh-Hau Wang
Zih-jieLiu
劉子傑
author Zih-jieLiu
劉子傑
spellingShingle Zih-jieLiu
劉子傑
Development of an ultrasound image-based platform for guiding intravenous injection
author_sort Zih-jieLiu
title Development of an ultrasound image-based platform for guiding intravenous injection
title_short Development of an ultrasound image-based platform for guiding intravenous injection
title_full Development of an ultrasound image-based platform for guiding intravenous injection
title_fullStr Development of an ultrasound image-based platform for guiding intravenous injection
title_full_unstemmed Development of an ultrasound image-based platform for guiding intravenous injection
title_sort development of an ultrasound image-based platform for guiding intravenous injection
publishDate 2015
url http://ndltd.ncl.edu.tw/handle/26213587293654910983
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