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Real-time dual-modal vein imaging system
Purpose In this paper, we present a vein imaging system to combine reflectance mode visible spectrum images (VIS) with transmission mode near-infrared (NIR) images in real time. Clear vessel localization is achieved in this manner with combined NIR–VIS dual-modal imaging. Methods Transmission and re...
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| Published in: | International journal for computer assisted radiology and surgery 2019-02, Vol.14 (2), p.203-213 |
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| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c372t-448df116eb1022eb967720e0e3a142d5c6dbac1c6246d06f3c637b09d0ae36743 |
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| cites | cdi_FETCH-LOGICAL-c372t-448df116eb1022eb967720e0e3a142d5c6dbac1c6246d06f3c637b09d0ae36743 |
| container_end_page | 213 |
| container_issue | 2 |
| container_start_page | 203 |
| container_title | International journal for computer assisted radiology and surgery |
| container_volume | 14 |
| creator | Mela, Christopher A. Lemmer, David P. Bao, Forrest Sheng Papay, Francis Hicks, Tyler Liu, Yang |
| description | Purpose
In this paper, we present a vein imaging system to combine reflectance mode visible spectrum images (VIS) with transmission mode near-infrared (NIR) images in real time. Clear vessel localization is achieved in this manner with combined NIR–VIS dual-modal imaging.
Methods
Transmission and reflectance mode optical instrumentation is used to combine VIS and NIR images. Two methods of displaying the combined images are demonstrated here. We have conducted experiments to determine the system’s resolution, alignment accuracy, and depth penetration. Vein counts were taken from the hands of test subjects using the system and compared with vein counts taken by visual analysis.
Results
Results indicate that the system can improve vein detection in the human hand while detecting veins of a diameter |
| doi_str_mv | 10.1007/s11548-018-1865-9 |
| format | article |
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In this paper, we present a vein imaging system to combine reflectance mode visible spectrum images (VIS) with transmission mode near-infrared (NIR) images in real time. Clear vessel localization is achieved in this manner with combined NIR–VIS dual-modal imaging.
Methods
Transmission and reflectance mode optical instrumentation is used to combine VIS and NIR images. Two methods of displaying the combined images are demonstrated here. We have conducted experiments to determine the system’s resolution, alignment accuracy, and depth penetration. Vein counts were taken from the hands of test subjects using the system and compared with vein counts taken by visual analysis.
Results
Results indicate that the system can improve vein detection in the human hand while detecting veins of a diameter < 0.5 mm at any working distance and of a 0.25 mm diameter at an optimal working distance of about 30 cm. The system has also been demonstrated to clearly detect silicone vessels with artificial blood of diameter 2, 1, and 0.5 mm diameter under a tissue depth of 3 mm. In a study involving 25 human subjects, we have demonstrated that vein visibility was significantly increased using our system.
Conclusions
The results indicate that the device is a high-resolution solution to near-surface venous imaging. This technology can be applied for IV placement, morphological analysis for disease state detection, and biometric analysis.</description><identifier>ISSN: 1861-6410</identifier><identifier>EISSN: 1861-6429</identifier><identifier>DOI: 10.1007/s11548-018-1865-9</identifier><identifier>PMID: 30291592</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Blood vessels ; Computer Imaging ; Computer Science ; Health Informatics ; Humans ; Image Processing, Computer-Assisted - methods ; Image transmission ; Imaging ; Infrared imagery ; Medicine ; Medicine & Public Health ; Optical Imaging - methods ; Original Article ; Pattern Recognition and Graphics ; Radiology ; Real time ; Reflectance ; Surgery ; Veins ; Veins & arteries ; Veins - diagnostic imaging ; Visible spectrum ; Vision</subject><ispartof>International journal for computer assisted radiology and surgery, 2019-02, Vol.14 (2), p.203-213</ispartof><rights>CARS 2018</rights><rights>2018© CARS 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-448df116eb1022eb967720e0e3a142d5c6dbac1c6246d06f3c637b09d0ae36743</citedby><cites>FETCH-LOGICAL-c372t-448df116eb1022eb967720e0e3a142d5c6dbac1c6246d06f3c637b09d0ae36743</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30291592$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mela, Christopher A.</creatorcontrib><creatorcontrib>Lemmer, David P.</creatorcontrib><creatorcontrib>Bao, Forrest Sheng</creatorcontrib><creatorcontrib>Papay, Francis</creatorcontrib><creatorcontrib>Hicks, Tyler</creatorcontrib><creatorcontrib>Liu, Yang</creatorcontrib><title>Real-time dual-modal vein imaging system</title><title>International journal for computer assisted radiology and surgery</title><addtitle>Int J CARS</addtitle><addtitle>Int J Comput Assist Radiol Surg</addtitle><description>Purpose
In this paper, we present a vein imaging system to combine reflectance mode visible spectrum images (VIS) with transmission mode near-infrared (NIR) images in real time. Clear vessel localization is achieved in this manner with combined NIR–VIS dual-modal imaging.
Methods
Transmission and reflectance mode optical instrumentation is used to combine VIS and NIR images. Two methods of displaying the combined images are demonstrated here. We have conducted experiments to determine the system’s resolution, alignment accuracy, and depth penetration. Vein counts were taken from the hands of test subjects using the system and compared with vein counts taken by visual analysis.
Results
Results indicate that the system can improve vein detection in the human hand while detecting veins of a diameter < 0.5 mm at any working distance and of a 0.25 mm diameter at an optimal working distance of about 30 cm. The system has also been demonstrated to clearly detect silicone vessels with artificial blood of diameter 2, 1, and 0.5 mm diameter under a tissue depth of 3 mm. In a study involving 25 human subjects, we have demonstrated that vein visibility was significantly increased using our system.
Conclusions
The results indicate that the device is a high-resolution solution to near-surface venous imaging. This technology can be applied for IV placement, morphological analysis for disease state detection, and biometric analysis.</description><subject>Blood vessels</subject><subject>Computer Imaging</subject><subject>Computer Science</subject><subject>Health Informatics</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Image transmission</subject><subject>Imaging</subject><subject>Infrared imagery</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Optical Imaging - methods</subject><subject>Original Article</subject><subject>Pattern Recognition and Graphics</subject><subject>Radiology</subject><subject>Real time</subject><subject>Reflectance</subject><subject>Surgery</subject><subject>Veins</subject><subject>Veins & arteries</subject><subject>Veins - diagnostic imaging</subject><subject>Visible spectrum</subject><subject>Vision</subject><issn>1861-6410</issn><issn>1861-6429</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kF1LwzAUhoMoTqc_wBspeLOb6DlJmraXMvyCgSB6HdLmdHT0YzarsH9vRucEwau8kOe8J3kYu0K4RYDkziPGKuWAKcdUxzw7YmchINdKZMeHjDBh596vAFScyPiUTSSIDONMnLHZG9mab6qGIjeE1HTO1tEXVW1UNXZZtcvIb_2Gmgt2Utra0-X-nLKPx4f3-TNfvD69zO8XvJCJ2HClUlciasoRhKA800kigICkRSVcXGiX2wILLZR2oEtZaJnkkDmwJHWi5JTNxt51330O5DemqXxBdW1b6gZvRChPVSqlDujNH3TVDX0bXheo3doUAzdlOFJF33nfU2nWffhavzUIZqfRjBpN0Gh2Gk0WZq73zUPekDtM_HgLgBgBH67aJfW_q_9v_QaA1Ho9</recordid><startdate>20190201</startdate><enddate>20190201</enddate><creator>Mela, Christopher A.</creator><creator>Lemmer, David P.</creator><creator>Bao, Forrest Sheng</creator><creator>Papay, Francis</creator><creator>Hicks, Tyler</creator><creator>Liu, Yang</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20190201</creationdate><title>Real-time dual-modal vein imaging system</title><author>Mela, Christopher A. ; Lemmer, David P. ; Bao, Forrest Sheng ; Papay, Francis ; Hicks, Tyler ; Liu, Yang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-448df116eb1022eb967720e0e3a142d5c6dbac1c6246d06f3c637b09d0ae36743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Blood vessels</topic><topic>Computer Imaging</topic><topic>Computer Science</topic><topic>Health Informatics</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Image transmission</topic><topic>Imaging</topic><topic>Infrared imagery</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Optical Imaging - methods</topic><topic>Original Article</topic><topic>Pattern Recognition and Graphics</topic><topic>Radiology</topic><topic>Real time</topic><topic>Reflectance</topic><topic>Surgery</topic><topic>Veins</topic><topic>Veins & arteries</topic><topic>Veins - diagnostic imaging</topic><topic>Visible spectrum</topic><topic>Vision</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mela, Christopher A.</creatorcontrib><creatorcontrib>Lemmer, David P.</creatorcontrib><creatorcontrib>Bao, Forrest Sheng</creatorcontrib><creatorcontrib>Papay, Francis</creatorcontrib><creatorcontrib>Hicks, Tyler</creatorcontrib><creatorcontrib>Liu, Yang</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>International journal for computer assisted radiology and surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mela, Christopher A.</au><au>Lemmer, David P.</au><au>Bao, Forrest Sheng</au><au>Papay, Francis</au><au>Hicks, Tyler</au><au>Liu, Yang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Real-time dual-modal vein imaging system</atitle><jtitle>International journal for computer assisted radiology and surgery</jtitle><stitle>Int J CARS</stitle><addtitle>Int J Comput Assist Radiol Surg</addtitle><date>2019-02-01</date><risdate>2019</risdate><volume>14</volume><issue>2</issue><spage>203</spage><epage>213</epage><pages>203-213</pages><issn>1861-6410</issn><eissn>1861-6429</eissn><abstract>Purpose
In this paper, we present a vein imaging system to combine reflectance mode visible spectrum images (VIS) with transmission mode near-infrared (NIR) images in real time. Clear vessel localization is achieved in this manner with combined NIR–VIS dual-modal imaging.
Methods
Transmission and reflectance mode optical instrumentation is used to combine VIS and NIR images. Two methods of displaying the combined images are demonstrated here. We have conducted experiments to determine the system’s resolution, alignment accuracy, and depth penetration. Vein counts were taken from the hands of test subjects using the system and compared with vein counts taken by visual analysis.
Results
Results indicate that the system can improve vein detection in the human hand while detecting veins of a diameter < 0.5 mm at any working distance and of a 0.25 mm diameter at an optimal working distance of about 30 cm. The system has also been demonstrated to clearly detect silicone vessels with artificial blood of diameter 2, 1, and 0.5 mm diameter under a tissue depth of 3 mm. In a study involving 25 human subjects, we have demonstrated that vein visibility was significantly increased using our system.
Conclusions
The results indicate that the device is a high-resolution solution to near-surface venous imaging. This technology can be applied for IV placement, morphological analysis for disease state detection, and biometric analysis.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>30291592</pmid><doi>10.1007/s11548-018-1865-9</doi><tpages>11</tpages></addata></record> |
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| ispartof | International journal for computer assisted radiology and surgery, 2019-02, Vol.14 (2), p.203-213 |
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| language | eng |
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| source | Springer Nature |
| subjects | Blood vessels Computer Imaging Computer Science Health Informatics Humans Image Processing, Computer-Assisted - methods Image transmission Imaging Infrared imagery Medicine Medicine & Public Health Optical Imaging - methods Original Article Pattern Recognition and Graphics Radiology Real time Reflectance Surgery Veins Veins & arteries Veins - diagnostic imaging Visible spectrum Vision |
| title | Real-time dual-modal vein imaging system |
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