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

Qi, Weizhi1; Yao, Lei1,3; Jiang, Yunchao1; Huang, Na1; Guo, Heng1; Rong, Jian1,3; Feng, Hui4,5,6; Yang, Wanneng4,5,6; Xi, Lei1,2,3

2020-08

10.4208/cicp.OA-2017-0248

Communications in Computational Physics   影响因子和分区

1815-2406

1991-7120

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.

Photoacoustic tomography finite element method GPU-acceleration chlorophyll

SCI

英语

通讯

National Natural Science Foundation of China[11674047][61775028][61528401][81571722][61005401] ; State International Collaboration Program from Sichuan[2016HH0019][A03012023601011] ; Fundamental Research Funds for the Central Universities[ZYGX2015J146]

Physics

Physics, Mathematical

WOS:000539491200005

GLOBAL SCIENCE PRESS

Web of Science

1.Univ Elect Sci & Technol China, Sch Phys Elect, Chengdu, Sichuan, Peoples R China
2.Southern Univ Sci & Technol, Dept Biomed Engn, Shenzhen 518055, Guangdong, Peoples R China
3.Univ Elect Sci & Technol China, Ctr Informat Med, Chengdu, Sichuan, Peoples R China
4.Huazhong Agr Univ, Natl Key Lab Crop Genet Improvement, Wuhan 430070, Peoples R China
5.Huazhong Agr Univ, Natl Ctr Plant Gene Res, Wuhan 430070, Peoples R China
6.Huazhong Agr Univ, Agr Bioinformat Key Lab Hubei Prov, Wuhan 430070, Peoples R China

Qi, Weizhi,Yao, Lei,Jiang, Yunchao,et al. Quantitative Photoacoustic Imaging of Chlorophyll Using a GPU-Accelerated Finite Element Method[J]. Communications in Computational Physics,2020,28(2):679-690.

Qi, Weizhi.,Yao, Lei.,Jiang, Yunchao.,Huang, Na.,Guo, Heng.,...&Xi, Lei.(2020).Quantitative Photoacoustic Imaging of Chlorophyll Using a GPU-Accelerated Finite Element Method.Communications in Computational Physics,28(2),679-690.

Qi, Weizhi,et al."Quantitative Photoacoustic Imaging of Chlorophyll Using a GPU-Accelerated Finite Element Method".Communications in Computational Physics 28.2(2020):679-690.