169 related articles for article (PubMed ID: 28241276)
1. Theoretical model of blood flow measurement by diffuse correlation spectroscopy.
Sakadžic S; Boas DA; Carp S
J Biomed Opt; 2017 Feb; 22(2):27006. PubMed ID: 28241276
[TBL] [Abstract][Full Text] [Related]
2. Establishing the diffuse correlation spectroscopy signal relationship with blood flow.
Boas DA; Sakadžić S; Selb J; Farzam P; Franceschini MA; Carp SA
Neurophotonics; 2016 Jul; 3(3):031412. PubMed ID: 27335889
[TBL] [Abstract][Full Text] [Related]
3. Development of a Monte Carlo-wave model to simulate time domain diffuse correlation spectroscopy measurements from first principles.
Cheng X; Chen H; Sie EJ; Marsili F; Boas DA
J Biomed Opt; 2022 Feb; 27(8):. PubMed ID: 35199501
[TBL] [Abstract][Full Text] [Related]
4. Derivation of the correlation diffusion equation with static background and analytical solutions.
Binzoni T; Liemert A; Kienle A; Martelli F
Appl Opt; 2017 Feb; 56(4):795-801. PubMed ID: 28158078
[TBL] [Abstract][Full Text] [Related]
5. Diffuse correlation spectroscopy measurements of blood flow using 1064 nm light.
Carp S; Tamborini D; Mazumder D; Wu KC; Robinson M; Stephens K; Shatrovoy O; Lue N; Ozana N; Blackwell M; Franceschini MA
J Biomed Opt; 2020 Sep; 25(9):. PubMed ID: 32996299
[TBL] [Abstract][Full Text] [Related]
6. [A study on blood flow measurement by diffuse correlation spectroscopy].
Liang JM; Wang J; Mei JS; Zhang ZX
Guang Pu Xue Yu Guang Pu Fen Xi; 2012 Oct; 32(10):2749-52. PubMed ID: 23285880
[TBL] [Abstract][Full Text] [Related]
7. Quantification of blood flow index in diffuse correlation spectroscopy using a robust deep learning method.
Wang Q; Pan M; Zang Z; Li DD
J Biomed Opt; 2024 Jan; 29(1):015004. PubMed ID: 38283935
[TBL] [Abstract][Full Text] [Related]
8. Improved accuracy of cerebral blood flow quantification in the presence of systemic physiology cross-talk using multi-layer Monte Carlo modeling.
Wu MM; Chan ST; Mazumder D; Tamborini D; Stephens KA; Deng B; Farzam P; Chu JY; Franceschini MA; Qu JZ; Carp SA
Neurophotonics; 2021 Jan; 8(1):015001. PubMed ID: 33437846
[No Abstract] [Full Text] [Related]
9. Characterization of continuous wave ultrasound for acousto-optic modulated diffuse correlation spectroscopy (AOM-DCS).
Robinson MB; Carp SA; Peruch A; Boas DA; Franceschini MA; Sakadžić S
Biomed Opt Express; 2020 Jun; 11(6):3071-3090. PubMed ID: 32637242
[TBL] [Abstract][Full Text] [Related]
10. Time domain diffuse correlation spectroscopy: modeling the effects of laser coherence length and instrument response function.
Cheng X; Tamborini D; Carp SA; Shatrovoy O; Zimmerman B; Tyulmankov D; Siegel A; Blackwell M; Franceschini MA; Boas DA
Opt Lett; 2018 Jun; 43(12):2756-2759. PubMed ID: 29905681
[TBL] [Abstract][Full Text] [Related]
11. Extraction of diffuse correlation spectroscopy flow index by integration of
Shang Y; Li T; Chen L; Lin Y; Toborek M; Yu G
Appl Phys Lett; 2014 May; 104(19):193703. PubMed ID: 24926099
[TBL] [Abstract][Full Text] [Related]
12. Shear-induced diffusion of red blood cells measured with dynamic light scattering-optical coherence tomography.
Tang J; Erdener SE; Li B; Fu B; Sakadzic S; Carp SA; Lee J; Boas DA
J Biophotonics; 2018 Feb; 11(2):. PubMed ID: 28700129
[TBL] [Abstract][Full Text] [Related]
13. Diffusing wave spectroscopy used to study the influence of shear on aggregation.
Ruis HG; Venema P; Linden Ev
Langmuir; 2008 Jul; 24(14):7117-23. PubMed ID: 18547085
[TBL] [Abstract][Full Text] [Related]
14. Dynamic light scattering Monte Carlo: a method for simulating time-varying dynamics for ordered motion in heterogeneous media.
Davis MA; Dunn AK
Opt Express; 2015 Jun; 23(13):17145-55. PubMed ID: 26191723
[TBL] [Abstract][Full Text] [Related]
15. Comparing the performance potential of speckle contrast optical spectroscopy and diffuse correlation spectroscopy for cerebral blood flow monitoring using Monte Carlo simulations in realistic head geometries.
Robinson MB; Cheng TY; Renna M; Wu MM; Kim B; Cheng X; Boas DA; Franceschini MA; Carp SA
Neurophotonics; 2024 Jan; 11(1):015004. PubMed ID: 38282721
[TBL] [Abstract][Full Text] [Related]
16. Analytical models for time-domain diffuse correlation spectroscopy for multi-layer and heterogeneous turbid media.
Li J; Qiu L; Poon CS; Sunar U
Biomed Opt Express; 2017 Dec; 8(12):5518-5532. PubMed ID: 29296485
[TBL] [Abstract][Full Text] [Related]
17. Time-domain diffuse correlation spectroscopy (TD-DCS) for noninvasive, depth-dependent blood flow quantification in human tissue in vivo.
Samaei S; Sawosz P; Kacprzak M; Pastuszak Ż; Borycki D; Liebert A
Sci Rep; 2021 Jan; 11(1):1817. PubMed ID: 33469124
[TBL] [Abstract][Full Text] [Related]
18. Assessing the reliability of diffuse correlation spectroscopy models on noise-free analytical Monte Carlo data.
Binzoni T; Martelli F
Appl Opt; 2015 Jun; 54(17):5320-6. PubMed ID: 26192830
[TBL] [Abstract][Full Text] [Related]
19. Diffusing-wave spectroscopy from head-like tissue phantoms: influence of a non-scattering layer.
Jaillon F; Skipetrov SE; Li J; Dietsche G; Maret G; Gisler T
Opt Express; 2006 Oct; 14(22):10181-94. PubMed ID: 19529414
[TBL] [Abstract][Full Text] [Related]
20. Measuring neuronal activity with diffuse correlation spectroscopy: a theoretical investigation.
Cheng X; Sie EJ; Naufel S; Boas DA; Marsili F
Neurophotonics; 2021 Jul; 8(3):035004. PubMed ID: 34368390
[No Abstract] [Full Text] [Related]
[Next] [New Search]