Spatial frequency domain imaging technology based on Fourier single-pixel imaging

doi:10.1117/1.JBO.27.1.016002

	Spatial frequency domain imaging technology based on Fourier single-pixel imaging
	Ren, Hui M.; Deng, Guoqing 1; Zhou, Peng 2; Kang, Xu ; Zhang, Yang 1; Ni, Jingshu 1; Zhang, Yuanzhi 1; Wang, Yikun 3
刊名	JOURNAL OF BIOMEDICAL OPTICS
	2022
卷号	27
关键词	Fourier single-pixel imaging spatial frequency domain optical properties compressed sensing
ISSN号	1083-3668
DOI	10.1117/1.JBO.27.1.016002
通讯作者	Zhang, Yuanzhi(yzzhang@aiofm.ac.cn) ; Wang, Yikun(wyk@aiofm.ac.cn)
英文摘要	Significance: Optical properties (absorption coefficient and scattering coefficient) of tissue are the most critical parameters for disease diagnosis-based optical method. In recent years, researchers proposed spatial frequency domain imaging (SFDI) to quantitatively map tissue optical properties in a broad field of contactless imaging. To solve the limitations in wavebands unsuitable for silicon-based sensor technology, a compressed sensing (CS) algorithm is used to reproduce the original signal by a single-pixel detectors. Currently, the existing single-pixel SFDI method mainly uses a random sampling policy to extract and recover signals in the acquisition stage. However, these methods are memory-hungry and time-consuming, and they cannot generate discernible results under low sampling rate. Explorations on high performance and efficiency single-pixel SFDI are of great significance for clinical application. Aim: Fourier single-pixel imaging can reconstruct signals with less time and space costs and has fewer reconstruction errors. We focus on an SFDI algorithm based on Fourier single-pixel imaging and propose our Fourier single-pixel image-based spatial frequency domain imaging method (FSI-SFDI). Approach: First, we use Fourier single-pixel imaging algorithm to collect and compress signals and SFDI algorithm to generate optical parameters. Given the basis that the main energy of general image signals is concentrated in the range of low frequency of Fourier frequency domain, our FSI-SFDI uses a circular-sampling scheme to sample data points in the low-frequency region. Then, we reconstruct the image details from these points by optimization-based inverse-FFT method. Results: Our algorithm is tested on simulated data. Results show that the root mean square error (RMSE) of optical parameters is lower than 5% when the data reduction is 92%, and it can generate discernible optical parameter image with low sampling rate. We can observe that our FSI-SFDI primarily recovers the optical properties while keeping the RMSE under the upper bound of 4.5% when we use an image with 512 x 512 resolution as the example for calculation and analysis. Not only that but also our algorithm consumes less space and time for an image with 256 x 256 resolution, the signal reconstruction takes only 1.65 ms, and requires less RAM memory. Compared to CS-SFDI method, our FSI-SFDI can reduce the required number of measurements through optimizing algorithm. Conclusions: Moreover, FSI-SFDI is capable of recovering high-quality resolvable images with lower sampling rate, higher-resolution images with less memory and time consumed than previous CS-SFDI method, which is very promising for clinical data collection and medical analysis. (C) The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License.
资助项目	Natural Science Foundation of Anhui Province of China[1908085QH365] ; Key Research and Development Plan of Anhui Province of China[202004a07020016] ; President Foundation of the Hefei Institutes of Physical Science, Chinese Academy of Sciences[YZJJZX202009]
WOS研究方向	Biochemistry & Molecular Biology ; Optics ; Radiology, Nuclear Medicine & Medical Imaging
语种	英语
出版者	SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
WOS记录号	WOS:000751470800006
资助机构	Natural Science Foundation of Anhui Province of China ; Key Research and Development Plan of Anhui Province of China ; President Foundation of the Hefei Institutes of Physical Science, Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/127467]
专题	中国科学院合肥物质科学研究院
通讯作者	Zhang, Yuanzhi; Wang, Yikun
作者单位	1.Chinese Acad Sci, Hefei Inst Phys Sci, Anhui Inst Opt & Fine Mech, Hefei, Anhui, Peoples R China 2.940th Hosp, Joint Logist Support Force Chinese Peoples Libera, Dept Sports Med, Lanzhou, Gansu, Peoples R China 3.Wanjiang Ctr Dev Emerging Ind, Tongling, Peoples R China 4.Anhui Univ, Inst Phys Sci & Informat Technol, Hefei, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Ren, Hui M.,Deng, Guoqing,Zhou, Peng,et al. Spatial frequency domain imaging technology based on Fourier single-pixel imaging[J]. JOURNAL OF BIOMEDICAL OPTICS,2022,27.
APA	Ren, Hui M..,Deng, Guoqing.,Zhou, Peng.,Kang, Xu.,Zhang, Yang.,...&Wang, Yikun.(2022).Spatial frequency domain imaging technology based on Fourier single-pixel imaging.JOURNAL OF BIOMEDICAL OPTICS,27.
MLA	Ren, Hui M.,et al."Spatial frequency domain imaging technology based on Fourier single-pixel imaging".JOURNAL OF BIOMEDICAL OPTICS 27(2022).