Three-Dimensional Fluorescence Diffuse Optical Tomography Using the Adaptive Spatial Prior Approach

Lo, Pei An; Chiang, Huihua Kenny

doi:10.1007/s40846-019-00465-y

Cited by 7 publications

(7 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An ill-posed problem has no solutions in desired class or has many solution, or solution procedure is unstable [15] [16] [17] [18]. In this research case, this means that there are a smaller number of independent measurements than unknown pixel values.…”

Section: Ill-posednessmentioning

confidence: 99%

Application of Reconstruction and Optimization Algorithms in Optical Tomography

Hashmi¹,

Muzzammel²,

Arshad³

et al. 2020

WJET

View full text Add to dashboard Cite

Optical tomography is a non-invasive technique that uses visible or near infrared radiation to analyze biological tissues. Researchers take immense attention towards advancement in optical tomography because of its low cost and an advantage of providing anatomical information. Based on the information of optical characteristics, forward and inverse problem of tomography are solved. In this research, finite element method is employed for forward problem and gradient-based optimization algorithm is developed for inverse problem of optical tomography. It is found from simulations that information about imaging is processed more distinctly and in less computational time. Normal and abnormal conditions in imaging are readily distinguished. Simulations are carried out in Matlab. Different scenarios are developed and are simulated to validate the performance of reconstruction and optimization algorithms in optical tomography.

show abstract

Section: Ill-posednessmentioning

confidence: 99%

Application of Reconstruction and Optimization Algorithms in Optical Tomography

Hashmi¹,

Muzzammel²,

Arshad³

et al. 2020

WJET

View full text Add to dashboard Cite

show abstract

“…The source and detector probes are typically arranged on the same side of the measuring instrument when measuring reflectance. Currently, three techniques can Axioms 2023, 12, 326 2 of 22 be used to simulate how light moves through tissue: time-domain (TD), frequency-domain (FD), and continuous wave (CW) (Figure 1) [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Advancements in Numerical Methods for Forward and Inverse Problems in Functional near Infra-Red Spectroscopy: A Review

Hussain

Faye

Muthuvalu

et al. 2023

Axioms

View full text Add to dashboard Cite

A In the field of biomedical image reconstruction, functional near infra-red spectroscopy (fNIRs) is a promising technology that uses near infra-red light for non-invasive imaging and reconstruction. Reconstructing an image requires both forward and backward problem-solving in order to figure out what the image’s optical properties are from the boundary data that has been measured. Researchers are using a variety of numerical methods to solve both the forward and backward problems in depth. This study will show the latest improvements in numerical methods for solving forward and backward problems in fNIRs. The physical interpretation of the forward problem is described, followed by the explanation of the state-of-the-art numerical methods and the description of the toolboxes. A more in-depth discussion of the numerical solution approaches for the inverse problem for fNIRs is also provided.

show abstract

“…By labeling tumor tissues with a fluorescent dye, the fluorescence imaging system can record fluorophore distribution noninvasively [ 4 ]. In visible and NIR-I windows (400–900 nm), the imaging depth is restricted by high tissue scattering and absorption [ 5 , 6 , 7 ]. The imaging depth in the NIR-I region is 1–3 mm [ 8 , 9 , 10 ], but the imaging depth can exceed 5 mm in the NIR-II region due to lower tissue scattering and autofluorescence [ 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Development of Stereo NIR-II Fluorescence Imaging System for 3D Tumor Vasculature in Small Animals

Lin

Chan

et al. 2022

Biosensors

Self Cite

View full text Add to dashboard Cite

Near-infrared-II (NIR-II, 1000–1700 nm) fluorescence imaging boasts high spatial resolution and deep tissue penetration due to low light scattering, reduced photon absorption, and low tissue autofluorescence. NIR-II biological imaging is applied mainly in the noninvasive visualization of blood vessels and tumors in deep tissue. In the study, a stereo NIR-II fluorescence imaging system was developed for acquiring three-dimension (3D) images on tumor vasculature in real-time, on top of the development of fluorescent semiconducting polymer dots (IR-TPE Pdots) with ultra-bright NIR-II fluorescence (1000–1400 nm) and high stability to perform long-term fluorescence imaging. The NIR-II imaging system only consists of one InGaAs camera and a moving stage to simulate left-eye view and right-eye view for the construction of 3D in-depth blood vessel images. The system was validated with blood vessel phantom of tumor-bearing mice and was applied successfully in obtaining 3D blood vessel images with 0.6 mm- and 5 mm-depth resolution and 0.15 mm spatial resolution. The NIR-II stereo vision provides precise 3D information on the tumor microenvironment and blood vessel path.

show abstract

Three-Dimensional Fluorescence Diffuse Optical Tomography Using the Adaptive Spatial Prior Approach

Cited by 7 publications

References 11 publications

Application of Reconstruction and Optimization Algorithms in Optical Tomography

Application of Reconstruction and Optimization Algorithms in Optical Tomography

Advancements in Numerical Methods for Forward and Inverse Problems in Functional near Infra-Red Spectroscopy: A Review

Development of Stereo NIR-II Fluorescence Imaging System for 3D Tumor Vasculature in Small Animals

Contact Info

Product

Resources

About