Reconstruction of localized fluorescent target from multi-view continuous-wave surface images of small animal with lp sparsity regularization

Okawa, Shinpei; Ikehara, Tatsuya; Oda, Ichiro; Yamada, Yukio

doi:10.1364/boe.5.001839

Cited by 10 publications

(4 citation statements)

References 43 publications

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“…The optical filter was a band-pass interference filter with a central wavelength of 845 nm and band width of 55 nm. The CCD sensor had 1024 × 1024 pixels, and 4 × 4 binning of the pixels provided 256 × 256 data for one CCD image [ 14 ].…”

Section: Methodsmentioning

confidence: 99%

Evaluation of fluorescence imaging with indocyanine green in hepatocellular carcinoma

et al. 2016

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BackgroundWe hypothesized that indocyanine green (ICG) fluorescence patterns using Clairvivo OPT in resected liver specimens could confirm hepatocellular carcinoma (HCC) better than earlier commercial imaging systems. This preclinical trial evaluated the effectiveness of fluorescence imaging as an intraoperative cancer navigation tool.MethodsICG fluorescence images of resected specimens from 190 patients with HCC were classified into two groups according to whether high fluorescence was seen in the HCC (high cancerous [HC] group) or in the surrounding liver tissue (high surrounding [HS] group). The HC and HS groups were sub-classified into whole and partial types and whole and ring types, respectively.ResultsThe HC group had significantly higher prevalence of esophageal or gastric varices, and worse liver function than patients in the HS group. The HC group also had a higher percentage of limited resection cases than did the HS group. Cirrhotic liver histology was significantly more common in the HC group than in the HS group. Multivariate analysis revealed that the HC group was a predictive factor for cirrhosis in HCC patients. Among the HC patients, a higher percentage of well-differentiated HCC cases were seen in the partial-type subgroup than in the whole-type subgroup (23/48 (48 %) vs. 7/68 (10 %)). In the HS group, the ring-type subgroup had a higher percentage of poorly differentiated HCC cases than did the whole-type subgroup (6/37 (16 %) vs. 0/37 (0 %)).ConclusionTumor differentiation and fibrosis in the non-cancerous liver parenchyma could affect ICG fluorescence imaging in HCC. ICG fluorescence imaging may be a good indication for fibrosis stage. In future, we will try to evaluate fluorescence imaging with ICG for intraoperative cancer navigation in HCC, using a portable near-infrared fluorescence imaging system.

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Section: Methodsmentioning

confidence: 99%

Evaluation of fluorescence imaging with indocyanine green in hepatocellular carcinoma

et al. 2016

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“…Many investigators are studying new algorithms or using additional assumptions or prior knowledge to eliminate this issue. 22,23,[38][39][40][41] We are also studying to incorporate the centroid prior provided by the depth perturbation method into the reconstruction process by the spatially varying regularization (SVR) method. 21 The solution equation of SVR is well known as 21…”

Section: Effect Of Centroid Prior On Reconstructing Fluorophore Sizementioning

confidence: 99%

Localizing fluorophore (centroid) inside a scattering medium by depth perturbation

et al. 2015

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Fluorescence molecular tomography (FMT) imaging can be used to determine the location, size, and biodistribution of fluorophore biomarkers inside tissues. Yet when using FMT in the reflectance geometry it is challenging to accurately localize fluorophores. A depth perturbation method is proposed to determine the centroid of fluorophore inside a tissue-like medium. Through superposition of a known thin optical phantom onto the medium surface, the fluorophore depth is deliberately perturbed and signal localization is improved in a stable way. We hypothesize that the fluorophore centroid can be better localized through use of this fluorescent intensity variation resulting from the depth perturbation. This hypothesis was tested in tissue-like phantoms. The results show that a small-size fluorophore inclusion (1.2 mm(3)volume, depth up to 4.8 mm) can be localized by the method with an error of 0.2 to 0.3 mm. The method is also proven to be capable of handling multiple fluorescent inclusion conditions with the assistance of other strategies. Additionally, our further studies showed that the method's performance in the presence of background fluorophores indicated that the small inclusion could be located at a 1.8 (3.8) mm depth with accurate localization only when its concentration was not <10 (100) times the background level.

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“…Effective regularization methods are developed, such as Tikhonov regularization, Lp-norm (0<p≤1) regularization, total variation regularization, and hybrid regularization 8 – 12 FMT is widely used in the early tumor detection. The tumor is small and sparse compared to the entire imaging domain.…”

Section: Introductionmentioning

confidence: 99%

Neighbor-based adaptive sparsity orthogonal least square for fluorescence molecular tomography

Yang

et al. 2023

J. Biomed. Opt.

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. Significance Fluorescence molecular tomography (FMT) is a promising imaging modality, which has played a key role in disease progression and treatment response. However, the quality of FMT reconstruction is limited by the strong scattering and inadequate surface measurements, which makes it a highly ill-posed problem. Improving the quality of FMT reconstruction is crucial to meet the actual clinical application requirements. Aim We propose an algorithm, neighbor-based adaptive sparsity orthogonal least square (NASOLS), to improve the quality of FMT reconstruction. Approach The proposed NASOLS does not require sparsity prior information and is designed to efficiently establish a support set using a neighbor expansion strategy based on the orthogonal least squares algorithm. The performance of the algorithm was tested through numerical simulations, physical phantom experiments, and small animal experiments. Results The results of the experiments demonstrated that the NASOLS significantly improves the reconstruction of images according to indicators, especially for double-target reconstruction. Conclusion NASOLS can recover the fluorescence target with a good location error according to simulation experiments, phantom experiments and small mice experiments. This method is suitable for sparsity target reconstruction, and it would be applied to early detection of tumors.

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Reconstruction of localized fluorescent target from multi-view continuous-wave surface images of small animal with lp sparsity regularization

Cited by 10 publications

References 43 publications

Evaluation of fluorescence imaging with indocyanine green in hepatocellular carcinoma

Evaluation of fluorescence imaging with indocyanine green in hepatocellular carcinoma

Localizing fluorophore (centroid) inside a scattering medium by depth perturbation

Neighbor-based adaptive sparsity orthogonal least square for fluorescence molecular tomography

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