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2008 1
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2021 0
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Near infrared optical tomography using NIRFAST: Algorithm for numerical model and image reconstruction.
Dehghani H, Eames ME, Yalavarthy PK, Davis SC, Srinivasan S, Carpenter CM, Pogue BW, Paulsen KD. Dehghani H, et al. Commun Numer Methods Eng. 2008 Aug 15;25(6):711-732. doi: 10.1002/cnm.1162. Commun Numer Methods Eng. 2008. PMID: 20182646 Free PMC article.
Much work has been carried out for accurate modeling and image reconstruction from clinical data. NIRFAST, a modeling and image reconstruction package has been developed, which is capable of single wavelength and multi-wavelength …
Much work has been carried out for accurate modeling and image reconstruction from clinical data. NIRFAST, a …
Depth-compensated diffuse optical tomography enhanced by general linear model analysis and an anatomical atlas of human head.
Tian F, Liu H. Tian F, et al. Neuroimage. 2014 Jan 15;85 Pt 1(0 1):166-80. doi: 10.1016/j.neuroimage.2013.07.016. Epub 2013 Jul 14. Neuroimage. 2014. PMID: 23859922 Free PMC article.
One of the main challenges in functional diffuse optical tomography (DOT) is to accurately recover the depth of brain activation, which is even more essential when differentiating true brain signals from task-evoked artifacts in the scalp. Recently, we developed a d …
One of the main challenges in functional diffuse optical tomography (DOT) is to accurately recover the depth of brain activati …
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