Image reconstruction of 2D concentration distribution of particle flow with extinction optical tomography

Yang Li; Renhuang Wang; Yingna Zheng

doi:10.1117/12.521403

2 September 2003 Image reconstruction of 2D concentration distribution of particle flow with extinction optical tomography

Yang Li, Renhuang Wang, Yingna Zheng

Author Affiliations +

Proceedings Volume 5253, Fifth International Symposium on Instrumentation and Control Technology; (2003) https://doi.org/10.1117/12.521403
Event: Fifth International Symposium on Instrumentation and Control Technology, 2003, Beijing, China

Abstract

Optical tomography, as a novel technique developed recently, has drawn more and more interest among imaging of biology tissue, astronomy and industrial process monitoring, and so on. Extinction method is one of traditional measurement for particle concentration, which can be improve a novel optical measurement with computed tomography (CT) to reconstruct image of particle concentration distribution. In this paper, the theoretical model of exctinction optical tomography was presented, the relationship between geometric structure of optical array sensors and section drawings of measured area was analyzed, and so did between the structure and spatial resolution. In experiments, 8 x 8 orthogonal array of optical sensors with two-directions projection are used for flow imaging by means of FBP, which is for capturing movement track of a glass canaliculus with arenaceous quartz inside in a section. Furthermore, image reconstructions based on optical array sensors with two-directional angles and four-directional angles are simulated numerically and some significant results can be found from the simulated results.

Citation Download Citation

Yang Li, Renhuang Wang, and Yingna Zheng "Image reconstruction of 2D concentration distribution of particle flow with extinction optical tomography", Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); https://doi.org/10.1117/12.521403

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