Journal article
Real-time dual-modal vein imaging system
International journal for computer assisted radiology and surgery, Vol.14(2), pp.203-213
02/2019
DOI: 10.1007/s11548-018-1865-9
PMID: 30291592
Abstract
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.
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 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.
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.
Details
- Title: Subtitle
- Real-time dual-modal vein imaging system
- Creators
- Christopher A Mela - University of AkronDavid P Lemmer - University of AkronForrest Sheng Bao - Iowa State UniversityFrancis Papay - Cleveland ClinicTyler Hicks - University of AkronYang Liu - University of Akron
- Resource Type
- Journal article
- Publication Details
- International journal for computer assisted radiology and surgery, Vol.14(2), pp.203-213
- DOI
- 10.1007/s11548-018-1865-9
- PMID
- 30291592
- ISSN
- 1861-6410
- eISSN
- 1861-6429
- Grant note
- Startup fund / University of Akron NNX14AL37H / National Aeronautics and Space Administration MCB-1616216 / National Science Foundation
- Language
- English
- Date published
- 02/2019
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197554802771
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