Optical stent inspection of surface texture and coating thickness
Carlos 自 2010 年起开始在 Sensofar 参与开发共聚焦、干涉测量和多焦面叠加技术，自 2018 年起担任研发工程经理一职。他的研究领域是光机系统设计和图像处理。
他在光学工程方面的综合研究工作帮助 Sensofar 研发团队在创新和最高技术水平方面始终保持领先地位。
Optical stent inspection of surface texture and coating thickness full article
C. Bermudez,1,2 F. Laguarta,1 C. Cadevall,1,2 A. Matilla,2 S. Ibañez,3 R. Artigas1,2
1 Universitat Politècnica de Catalunya (UPC) Rambla Sant Nebridi, 10, E-08222 Terrassa, Spain
2 Sensofar Tech SL, (Spain)
3 Sensofar Medical SL, (Spain)
Proc. SPIE 10110, Photonic Instrumentation Engineering IV, 1011007 (20 February 2017)
Stent quality control is a critical process. Coronary stents have to be inspected 100% so no defective stent is implanted into a human body. We have developed a high numerical aperture optical stent inspection system able to acquire both 2D and 3D images. Combining a rotational stage, an area camera with line-scan capability and a triple illumination arrangement, unrolled sections of the outer, inner, and sidewalls surfaces are obtained with high resolution. During stent inspection, surface roughness and coating thickness uniformity is of high interest. Due to the non-planar shape of the surface of the stents, the thickness values of the coating need to be corrected with the 3D surface local slopes.
A theoretical model and a simulation are proposed, and a measurement with white light interferometry is shown. Confocal and spectroscopic reflectometry showed to be limited in this application due to stent surface roughness. Due to the high numerical aperture of the optical system, only certain parts of the stent are in focus, which is a problem for defect detection, specifically on the sidewalls. In order to obtain fully focused 2D images, an extended depth of field algorithm has been implemented.
A comparison between pixel variance and Laplacian filtering is shown. To recover the stack image, two different methods are proposed: maximum projection and weighted intensity. Finally, we also discuss the implementation of the processing algorithms in both the CPU and GPU, targeting real-time 2-Million pixel image acquisition at 50 frames per second.
Carlos Bermudez, Ferran Laguarta, Cristina Cadevall, Aitor Matilla, Sergi Ibañez, and Roger Artigas. Stent optical inspection system calibration and performance, 2017, Applied Optics 56(9) D134-D141
Carlos Bermudez, Ferran Laguarta, Cristina Cadevall, Aitor Matilla, Sergi Ibañez and Roger Artigas. Novel Stent Optical Inspection System, 2016, Applied Industrial Optics: Spectroscopy, Imaging and Metrology, Paper# AITh2B.3