Real-time handheld probe tracking and image formation using digital frequency-domain diffuse optical spectroscopy

Author(s):  
Matthew Applegate ◽  
Robert Amelard ◽  
Carlos Gomez ◽  
Darren Roblyer
2015 ◽  
Vol 50 (7) ◽  
pp. 443-448 ◽  
Author(s):  
Rami Nachabé ◽  
Benno H.W. Hendriks ◽  
Ross Schierling ◽  
Jasmine Hales ◽  
Judy M. Racadio ◽  
...  

2006 ◽  
Vol 100 (2) ◽  
pp. 615-622 ◽  
Author(s):  
Jangwoen Lee ◽  
Naglaa El-Abaddi ◽  
Andrew Duke ◽  
Albert E. Cerussi ◽  
Matthew Brenner ◽  
...  

We present noninvasive, quantitative in vivo measurements of methemoglobin formation and reduction in a rabbit model using broadband diffuse optical spectroscopy (DOS). Broadband DOS combines multifrequency frequency-domain photon migration (FDPM) with time-independent near infrared (NIR) spectroscopy to quantitatively measure bulk tissue absorption and scattering spectra between 600 nm and 1,000 nm. Tissue concentrations (denoted by brackets) of methemoglobin ([MetHb]), deoxyhemoglobin ([Hb-R]), and oxyhemoglobin ([HbO2]) were determined from absorption spectra acquired in “real time” during nitrite infusions in nine pathogen-free New Zealand White rabbits. As little as 30 nM [MetHb] changes were detected for levels of [MetHb] that ranged from 0.80 to 5.72 μM, representing 2.2 to 14.9% of the total hemoglobin content (%MetHb). These values agreed well with on-site ex vivo cooximetry data ( r2 = 0.902, P < 0.0001, n = 4). The reduction of MetHb to functional hemoglobins was also carried out with intravenous injections of methylene blue (MB). As little as 10 nM changes in [MB] were detectable at levels of up to 150 nM in tissue. Our results demonstrate, for the first time, the ability of broadband DOS to noninvasively quantify real-time changes in [MetHb] and four additional chromophore concentrations ([Hb-R], [HbO2], [H2O], and [MB]) despite significant overlapping spectral features. These techniques are expected to be useful in evaluating dynamics of drug delivery and therapeutic efficacy in blood chemistry, human, and preclinical animal models.


Circulation ◽  
2018 ◽  
Vol 138 (Suppl_2) ◽  
Author(s):  
Tiffany S Ko ◽  
Wensheng Guo ◽  
Constantine D Mavroudis ◽  
Ryan W Morgan ◽  
Wesley M Baker ◽  
...  

Introduction: We have shown that during CPR, novel non-invasive monitoring of cerebral tissue oxygenation (StO 2 , %) and total hemoglobin concentration (THC, μmol/L) by frequency-domain diffuse optical spectroscopy (FD-DOS) is associated with ROSC in a swine model of pediatric cardiac arrest. Our objective is to find the optimal non-invasive predictor for ROSC and assess feasibility of a stable critical threshold over time in early CPR. Hypothesis: Stable critical thresholds with high sensitivity or specificity for ROSC may be established in early CPR (<10 min) from non-invasive cerebral StO 2 and THC measurements initiated at CPR start. Methods: One-month-old swine (n=31) underwent 7 minutes of asphyxia, induction of ventricular fibrillation, and up to 20 minutes of CPR till ROSC or death (no ROSC). Absolute StO 2 and THC and absolute and relative change from 1 minute into CPR (time for chest molding and FD-DOS placement) were evaluated as ROSC predictors over time. For each variable, an ROC curve and two critical thresholds, maximizing specificity (=1) or sensitivity (=1), were determined at 1-min intervals from 2-10 minutes of CPR using univariate logistic regression. Optimal predictor was selected by highest mean AUC. A stable specificity or sensitivity threshold was feasible if the mean threshold had a specificity or sensitivity >0.9 over all intervals, respectively. Results: Absolute change in StO 2 (ΔStO 2 ) had the highest mean (SD) AUC of 0.90 (0.07). Consistently >0.8, the AUC exceeded 0.9 after 7 minutes of CPR ( see Fig. ). The mean specificity threshold (ΔStO 2 = +5.1%) and sensitivity threshold (ΔStO 2 = +1.4%) achieved an overall specificity of 0.93 and sensitivity of 0.98, respectively. Conclusions: Non-invasive monitoring of absolute change in StO 2 was most predictive of ROSC and stable critical thresholds with high specificity or sensitivity were established in early CPR. Future work will independently validate this promising tool for CPR optimization.


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