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Journal Abstract Search

167 related items for PubMed ID: 10898475

  • 1. Influence of a fat on muscle oxygenation measurement using near-IR spectroscopy: quantitative analysis based on two-layered phantom experiments and Monte Carlo simulation.
    Lin L, Niwayama M, Shiga T, Kudo N, Takahashi M, Yamamoto K.
    Front Med Biol Eng; 2000; 10(1):43-58. PubMed ID: 10898475
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  • 2. Influence of a fat layer on the near infrared spectra of human muscle: quantitative analysis based on two-layered Monte Carlo simulations and phantom experiments.
    Yang Y, Soyemi OO, Landry MR, Soller BR.
    Opt Express; 2005 Mar 07; 13(5):1570-9. PubMed ID: 16044624
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  • 3. Influence of extracerebral layers on estimates of optical properties with continuous wave near infrared spectroscopy: analysis based on multi-layered brain tissue architecture and Monte Carlo simulation.
    Zhang Y, Liu X, Wang Q, Liu D, Yang C, Sun J.
    Comput Assist Surg (Abingdon); 2019 Oct 07; 24(sup1):144-150. PubMed ID: 30676092
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  • 4. Optical measurements of absorption changes in two-layered diffusive media.
    Fabbri F, Sassaroli A, Henry ME, Fantini S.
    Phys Med Biol; 2004 Apr 07; 49(7):1183-201. PubMed ID: 15128197
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  • 5. Crosstalk and error analysis of fat layer on continuous wave near-infrared spectroscopy measurements.
    Sayli O, Aksel EB, Akin A.
    J Biomed Opt; 2008 Apr 07; 13(6):064019. PubMed ID: 19123665
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  • 10. Tissue Oximeter with Selectable Measurement Depth Using Spatially Resolved Near-Infrared Spectroscopy.
    Niwayama M, Unno N.
    Sensors (Basel); 2021 Aug 19; 21(16):. PubMed ID: 34451015
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  • 11. Optical characterization of two-layered turbid media for non-invasive, absolute oximetry in cerebral and extracerebral tissue.
    Hallacoglu B, Sassaroli A, Fantini S.
    PLoS One; 2013 Aug 19; 8(5):e64095. PubMed ID: 23724023
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  • 12. Estimating the absorption coefficient of the bottom layer in four-layered turbid mediums based on the time-domain depth sensitivity of near-infrared light reflectance.
    Sato C, Shimada M, Tanikawa Y, Hoshi Y.
    J Biomed Opt; 2013 Sep 19; 18(9):097005. PubMed ID: 24057194
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  • 13. Dual Layered Models of Light Scattering in the Near Infrared A: Optical Measurements and Simulation.
    Almajidy RK, Rackebrandt K, Gehring H, Hofmann UG.
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul 19; 2019():4770-4774. PubMed ID: 31946928
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  • 14. Near infrared spectroscopy for body fat sensing in neonates: quantitative analysis by GAMOS simulations.
    Mustafa FH, Jones PW, McEwan AL.
    Biomed Eng Online; 2017 Jan 11; 16(1):14. PubMed ID: 28086963
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  • 15. Influence of overlying tissue and probe geometry on the sensitivity of a near-infrared tissue oximeter.
    Feng W, Haishu D, Fenghua T, Jun Z, Qing X, Xianwu T.
    Physiol Meas; 2001 Feb 11; 22(1):201-8. PubMed ID: 11236881
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  • 18. Estimation of differential pathlength factor from NIRS measurement in skeletal muscle.
    Koirala B, Concas A, Cincotti A, Sun Y, Hernández A, Goodwin ML, Gladden LB, Lai N.
    Respir Physiol Neurobiol; 2024 Aug 11; 326():104283. PubMed ID: 38788987
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  • 19. Analysis of NIRS-based muscle oxygenation parameters by inclusion of adipose tissue thickness.
    Grieger S, Geraskin D, Steimers A, Kohl-Bareis M.
    Adv Exp Med Biol; 2013 Aug 11; 789():131-136. PubMed ID: 23852486
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  • 20. Investigation of the source-detector separation in near infrared spectroscopy for healthy and clinical applications.
    Wang L, Ayaz H, Izzetoglu M.
    J Biophotonics; 2019 Nov 11; 12(11):e201900175. PubMed ID: 31291506
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