Comparison of diffusion approximation and higher order diffusion equations for optical tomography of osteoarthritis

Yuan, Zhen; Zhang, Qizhi; Sobel, Eric S.; Jiang, Huabei

doi:10.1117/1.3233655

Cited by 14 publications

(4 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this case study, we have shown that there exist significant contrasts in both absorption and scattering coefficients between OA and normal joints. We have also shown that the resolution of DOT can be dramatically improved when high resolution anatomical structure of the joints from x-ray is incorporated into the optical image reconstruction as a priori [ 23 , 24 ]. In the present study, we aim to use x-ray guided multispectral DOT to obtain quantitative parameters of joint tissues in the hand from 40 human subjects, in an attempt to capture the typical physiological/metabolic classifiers that can be used to distinguish between OA and healthy joints.…”

Section: Introductionmentioning

confidence: 99%

Image-guided optical spectroscopy in diagnosis of osteoarthritis: a clinical study

Yuan¹,

Zhang²,

Sobel³

et al. 2010

Biomed. Opt. Express

Self Cite

View full text Add to dashboard Cite

This goal of this study was to clinically evaluate the potential of a novel hybrid imaging techniques, called x-ray guided multispectral diffuse optical tomography, for identifying physiological parameters of joint tissues that can be used to distinguish between osteoarthritic and healthy joints in the hand. Between 2006 and 2009, the distal interphalangeal (DIP) finger joints from 40 subjects including 22 osteoarthritis patients and 18 healthy controls were examined clinically and scanned by the hybrid imaging platform that integrated a C-arm based x-ray tomosynthetic system with a mutlispectral diffuse optical imaging system. Based on the reconstructed results from the 40 subjects, it was observed that oxygen saturation and water content were two statistically most significant physiological discriminators for differentiation of the healthy joints from the osteoarthritic ones.

show abstract

Section: Introductionmentioning

confidence: 99%

Image-guided optical spectroscopy in diagnosis of osteoarthritis: a clinical study

Yuan¹,

Zhang²,

Sobel³

et al. 2010

Biomed. Opt. Express

Self Cite

View full text Add to dashboard Cite

show abstract

“…23,25 We also compared the reconstruction results using the different forward models including the transport equation and diffuse approximation. 27,28 In particular, we captured both the structural and functional information of OA patients and healthy controls. It seems that both other groups and ours have obtained similar distribution of optical properties for the healthy subjects.…”

Section: Ivf Conclusion and Future Directionsmentioning

confidence: 99%

High‐resolution x‐ray guided three‐dimensional diffuse optical tomography of joint tissues in hand osteoarthritis: Morphological and functional assessments

et al. 2010

Self Cite

View full text Add to dashboard Cite

show abstract

“…This limits the applications for which the DE can be used. For example, some groups (including our team) have recently shown that DOT appears to be capable of accurately diagnosing rheumatoid arthritis (RA) [17, 18, 19] and osteoarthritis (OA) [20, 21, 22] in finger joints. Yet because fingers contain void-like regions, occupy a relatively small volume, and, in the case of RA, may contain inflamed regions that are highly absorbing, the DE is of limited accuracy.…”

Section: Introductionmentioning

confidence: 99%

Frequency-domain optical tomographic image reconstruction algorithm with the simplified spherical harmonics (SP3) light propagation model

Kim

Montejo

Jia

et al. 2017

International Journal of Thermal Sciences

View full text Add to dashboard Cite

We introduce here the finite volume formulation of the frequency-domain simplified spherical harmonics model with n-th order absorption coefficients (FD-SPN) that approximates the frequency-domain equation of radiative transfer (FD-ERT). We then present the FD-SPN based reconstruction algorithm that recovers absorption and scattering coefficients in biological tissue. The FD-SPN model with 3rd order absorption coefficient (i.e., FD-SP3) is used as a forward model to solve the inverse problem. The FD-SP3 is discretized with a node-centered finite volume scheme and solved with a restarted generalized minimum residual (GMRES) algorithm. The absorption and scattering coefficients are retrieved using a limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) algorithm. Finally, the forward and inverse algorithms are evaluated using numerical phantoms with optical properties and size that mimic small-volume tissue such as finger joints and small animals. The forward results show that the FD-SP3 model approximates the FD-ERT (S12) solution within relatively high accuracy; the average error in the phase (<3.7%) and the amplitude (<7.1%) of the partial current at the boundary are reported. From the inverse results we find that the absorption and scattering coefficient maps are more accurately reconstructed with the SP3 model than those with the SP1 model. Therefore, this work shows that the FD-SP3 is an efficient model for optical tomographic imaging of small-volume media with non-diffuse properties both in terms of computational time and accuracy as it requires significantly lower CPU time than the FD-ERT (S12) and also it is more accurate than the FD-SP1.

show abstract

Comparison of diffusion approximation and higher order diffusion equations for optical tomography of osteoarthritis

Cited by 14 publications

References 30 publications

Image-guided optical spectroscopy in diagnosis of osteoarthritis: a clinical study

Image-guided optical spectroscopy in diagnosis of osteoarthritis: a clinical study

High‐resolution x‐ray guided three‐dimensional diffuse optical tomography of joint tissues in hand osteoarthritis: Morphological and functional assessments

Frequency-domain optical tomographic image reconstruction algorithm with the simplified spherical harmonics (SP3) light propagation model

Contact Info

Product

Resources

About