ART-TV Algorithm for Diffuse Correlation Tomography Blood Flow Imaging
Near-infrared diffuse correlation imaging (DCT) is an important method of tissue blood flow imaging for the prognosis and diagnosis of various diseases. A new solution of DCT that is based on the Nth-order linear (NL) algorithm, termed as NL-DCT, was proposed in our previous study to overcome the li...
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doaj-53f1f0c858a04835b9471d6e771b6f772021-03-30T03:23:43ZengIEEEIEEE Access2169-35362020-01-01813681913682710.1109/ACCESS.2020.30099919143154ART-TV Algorithm for Diffuse Correlation Tomography Blood Flow ImagingXiaojuan Zhang0https://orcid.org/0000-0002-0037-1720Lihong Zhai1Jianguo Wang2Guohong Lou3Yu Shang4https://orcid.org/0000-0002-2615-8944Zhiguo Gui5https://orcid.org/0000-0002-8991-9907Taiyuan Institute of Technology, Taiyuan, ChinaTaiyuan Institute of Technology, Taiyuan, ChinaTaiyuan Institute of Technology, Taiyuan, ChinaTaiyuan Institute of Technology, Taiyuan, ChinaShanxi Provincial Key Laboratory for Biomedical Imaging and Big Data, North University of China, Taiyuan, ChinaShanxi Provincial Key Laboratory for Biomedical Imaging and Big Data, North University of China, Taiyuan, ChinaNear-infrared diffuse correlation imaging (DCT) is an important method of tissue blood flow imaging for the prognosis and diagnosis of various diseases. A new solution of DCT that is based on the Nth-order linear (NL) algorithm, termed as NL-DCT, was proposed in our previous study to overcome the limitations of tissue geometry and heterogeneity. The NL-DCT converts the image reconstruction into linear equations, and this solution is an ill-posed problem in mathematics. To improve the accuracy and robustness of the DCT image reconstruction, a combination of algebra reconstruction technique (ART) and total variation (TV), namely ART-TV, is proposed in this study. After each ART iteration, the TV model is used as an a priori constraint to reduce noise. The validations from computer simulation and phantom experiments with different anomalies demonstrate that the proposed ART-TV algorithm is efficient in DCT blood flow image reconstruction.https://ieeexplore.ieee.org/document/9143154/Diffuse correlation tomographyblood flow indeximage reconstructionNth-order linear approachalgebra reconstruction techniquetotal variation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiaojuan Zhang Lihong Zhai Jianguo Wang Guohong Lou Yu Shang Zhiguo Gui |
spellingShingle |
Xiaojuan Zhang Lihong Zhai Jianguo Wang Guohong Lou Yu Shang Zhiguo Gui ART-TV Algorithm for Diffuse Correlation Tomography Blood Flow Imaging IEEE Access Diffuse correlation tomography blood flow index image reconstruction Nth-order linear approach algebra reconstruction technique total variation |
author_facet |
Xiaojuan Zhang Lihong Zhai Jianguo Wang Guohong Lou Yu Shang Zhiguo Gui |
author_sort |
Xiaojuan Zhang |
title |
ART-TV Algorithm for Diffuse Correlation Tomography Blood Flow Imaging |
title_short |
ART-TV Algorithm for Diffuse Correlation Tomography Blood Flow Imaging |
title_full |
ART-TV Algorithm for Diffuse Correlation Tomography Blood Flow Imaging |
title_fullStr |
ART-TV Algorithm for Diffuse Correlation Tomography Blood Flow Imaging |
title_full_unstemmed |
ART-TV Algorithm for Diffuse Correlation Tomography Blood Flow Imaging |
title_sort |
art-tv algorithm for diffuse correlation tomography blood flow imaging |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
Near-infrared diffuse correlation imaging (DCT) is an important method of tissue blood flow imaging for the prognosis and diagnosis of various diseases. A new solution of DCT that is based on the Nth-order linear (NL) algorithm, termed as NL-DCT, was proposed in our previous study to overcome the limitations of tissue geometry and heterogeneity. The NL-DCT converts the image reconstruction into linear equations, and this solution is an ill-posed problem in mathematics. To improve the accuracy and robustness of the DCT image reconstruction, a combination of algebra reconstruction technique (ART) and total variation (TV), namely ART-TV, is proposed in this study. After each ART iteration, the TV model is used as an a priori constraint to reduce noise. The validations from computer simulation and phantom experiments with different anomalies demonstrate that the proposed ART-TV algorithm is efficient in DCT blood flow image reconstruction. |
topic |
Diffuse correlation tomography blood flow index image reconstruction Nth-order linear approach algebra reconstruction technique total variation |
url |
https://ieeexplore.ieee.org/document/9143154/ |
work_keys_str_mv |
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