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26 February 2019 Vessel position estimation system based on pixel-wise refocusing using light field imaging
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Abstract
Venipuncture is a medical practice which is ordinarily performed in hospital. However, it is a difficult procedure as the occurrence of many failure of the puncture and sometimes medical accidents such as nerve damage and blood vessel damage are reported. This is caused by the difficulty of visually identification of the blood vessel. Although the depth information of the blood vessel is also important, the existing system in clinical practice can visualize vessels only by two dimensional images. In our previous study, to estimate the three dimensional position of the blood vessel, we have proposed the system based on refocusing using light field imaging. This method can obtain cross-sectional information of blood vessel emphasized using near infrared light at each depth. However, under the influence of the strong scattering characteristics of living tissue, vascular fluoroscopic images obtained using infrared light are blurred. This is because the light scattered from other paths overlaps with the light traveling straight through the influence of blood vessel absorption. In order to suppress this blur, a system for removing scattered light is constructed. In order to eliminate the influence of scattering, a method of angular filtering using a lens array is adopted. Since this method uses lens arrays, it has high affinity with refocusing technology. First, we organize the expression related our proposed system. Then, evaluate the basic principles of the proposed system by using blood vessel simulated object.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kayo Yoshimoto, Hideya Takahashi, and Kenji Yamada "Vessel position estimation system based on pixel-wise refocusing using light field imaging", Proc. SPIE 10868, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVII, 108681M (26 February 2019); https://doi.org/10.1117/12.2511192
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