ArticleBiomedical optics express2016
Augmented reality based real-time subcutaneous vein imaging system.
Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 citations in OpenAlex.
- Strategies to Address Difficult Venous Access in Blood Sampling: A Comprehensive Meta-Analysis.Medicina (Kaunas, Lithuania) · 2026Pooled it
- Augmented Reality (AR) for Surgical Robotic and Autonomous Systems: State of the Art, Challenges, and Solutions.Sensors (Basel, Switzerland) · 2023Pooled it
- Exploring the potential role for extended reality in Mohs micrographic surgery.Archives of dermatological research · 2024Review
- Design and Implementation of Embedded-Based Vein Image Processing System with Enhanced Denoising Capabilities.Sensors (Basel, Switzerland) · 2022Article
- Feasibility of 830 nm laser imaging for vein localization in dark skin tissue-mimicking phantoms.Physical and engineering sciences in medicine · 2022Article
- Augmented reality in anesthesia, pain medicine and critical care: a narrative review.Journal of clinical monitoring and computing · 2022Review
- Dorsal Hand Vein Image Enhancement Using Fusion of CLAHE and Fuzzy Adaptive Gamma.Sensors (Basel, Switzerland) · 2021Article
- FPGA-Based Two-Dimensional Matched Filter Design for Vein Imaging Systems.IEEE journal of translational engineering in health and medicine · 2021Article
- Real-time dual-modal vein imaging system.International journal of computer assisted radiology and surgery · 2019Article
- Multisensory System for the Detection and Localization of Peripheral Subcutaneous Veins.Sensors (Basel, Switzerland) · 2017Article
- 3D reconstruction of cystoscopy videos for comprehensive bladder records.Biomedical optics express · 2017Article
- Intraoperative Imaging and Image Fusion for Venous Interventions.Methodist DeBakey cardiovascular journalReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A novel 3D reconstruction and fast imaging system for subcutaneous veins by augmented reality is presented. The study was performed to reduce the failure rate and time required in intravenous injection by providing augmented vein structures that back-project superimposed veins on the skin surface of the hand. Images of the subcutaneous vein are captured by two industrial cameras with extra reflective near-infrared lights. The veins are then segmented by a multiple-feature clustering method. Vein structures captured by the two cameras are matched and reconstructed based on the epipolar constraint and homographic property. The skin surface is reconstructed by active structured light with spatial encoding values and fusion displayed with the reconstructed vein. The vein and skin surface are both reconstructed in the 3D space. Results show that the structures can be precisely back-projected to the back of the hand for further augmented display and visualization. The overall system performance is evaluated in terms of vein segmentation, accuracy of vein matching, feature points distance error, duration times, accuracy of skin reconstruction, and augmented display. All experiments are validated with sets of real vein data. The imaging and augmented system produces good imaging and augmented reality results with high speed.
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