Augmented reality based real-time subcutaneous vein imaging system

Ai, Danni, Yang, Jian, Fan, Jingfan, Zhao, Yitian, Song, Xianzheng, Shen, Jianbing, Shao, Ling and Wang, Yongtian (2016) Augmented reality based real-time subcutaneous vein imaging system. Biomedical Optics Express, 7 (7). pp. 2565-2585. ISSN 2156-7085

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Official URL: http://dx.doi.org/10.1364/BOE.7.002565

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.

Item Type: Article
Uncontrolled Keywords: Imaging systems, infrared imaging, image processing, image reconstruction techniques
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Becky Skoyles
Date Deposited: 15 Jul 2016 07:58
Last Modified: 15 Jul 2016 07:58
URI: http://nrl.northumbria.ac.uk/id/eprint/27278

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