Quantitative Photoacoustic Imaging of Chlorophyll Using a GPU-Accelerated Finite Element Method

Quantitative Photoacoustic Imaging of Chlorophyll Using a GPU-Accelerated Finite Element Method

Year:    2020

Author:    Weizhi Qi, Lei Yao, Yunchao Jiang, Na Huang, Heng Guo, Jian Rong, Hui Feng, Wanneng Yang, Lei Xi

Communications in Computational Physics, Vol. 28 (2020), Iss. 2 : pp. 679–690

Abstract

Chlorophyll in leaves is tightly associated with physiological status of plants. Chemical extraction or hyperspectral estimation is the conventional method to estimate the concentration of Chlorophyll in leaves. However, chemical extraction is invasive and time consuming, and hyperspectral method is extremely sensitive to background light. In this paper, we develop a quantitative photoacoustic imaging technique based on a finite-element-based reconstruction algorithm accelerated by a multicore GPU card to image morphological features and derive distribution of Chlorophyll A in rice leaves. The results suggest that this new method holds great potential in various studies of plant physiology.

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.OA-2017-0248

Communications in Computational Physics, Vol. 28 (2020), Iss. 2 : pp. 679–690

Published online:    2020-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    12

Keywords:   

Author Details

Weizhi Qi

Lei Yao

Yunchao Jiang

Na Huang

Heng Guo

Jian Rong

Hui Feng

Wanneng Yang

Lei Xi