Ms. De'Ja Rogers Profile

De'Ja Rogers

at Boston Univ

SPIE Involvement:

Author

Publications (4)

SPIE Journal Paper | 23 May 2023 Open Access

Short-separation regression incorporated diffuse optical tomography image reconstruction modeling for high-density functional near-infrared spectroscopy

Yuanyuan Gao, De’Ja Rogers, Alexander von Lühmann, Antonio Ortega-Martinez, David A. Boas, Meryem Yücel

NPh, Vol. 10, Issue 02, 025007, (May 2023) https://doi.org/10.1117/12.10.1117/1.NPh.10.2.025007

KEYWORDS: Data modeling, Brain, Head, Image restoration, Diffuse optical tomography, Matrices, Performance modeling, Lithium, Neurophotonics, Brain activation

Read Abstract +

DOWNLOAD PAPER

SPIE Journal Paper | 22 October 2022 Open Access

How much do time-domain functional near-infrared spectroscopy (fNIRS) moments improve estimation of brain activity over traditional fNIRS?

Antonio Ortega-Martinez, De'Ja Rogers, Jessica Anderson, Parya Farzam, Yuanyuan Gao, Bernhard Zimmermann, Meryem Yücel, David Boas

NPh, Vol. 10, Issue 01, 013504, (October 2022) https://doi.org/10.1117/12.10.1117/1.NPh.10.1.013504

KEYWORDS: Brain, Near infrared spectroscopy, Sensors, Absorption, Continuous wave operation, Monte Carlo methods, Neurophotonics, Hemodynamics, Statistical analysis, Photons

Read Abstract +

SignificanceAdvances in electronics have allowed the recent development of compact, high channel count time domain functional near-infrared spectroscopy (TD-fNIRS) systems. Temporal moment analysis has been proposed for increased brain sensitivity due to the depth selectivity of higher order temporal moments. We propose a general linear model (GLM) incorporating TD moment data and auxiliary physiological measurements, such as short separation channels, to improve the recovery of the HRF.AimsWe compare the performance of previously reported multi-distance TD moment techniques to commonly used techniques for continuous wave (CW) fNIRS hemodynamic response function (HRF) recovery, namely block averaging and CW GLM. Additionally, we compare the multi-distance TD moment technique to TD moment GLM.ApproachWe augmented resting TD-fNIRS moment data (six subjects) with known synthetic HRFs. We then employed block averaging and GLM techniques with “short-separation regression” designed both for CW and TD to recover the HRFs. We calculated the root mean square error (RMSE) and the correlation of the recovered HRF to the ground truth. We compared the performance of equivalent CW and TD techniques with paired t-tests.ResultsWe found that, on average, TD moment HRF recovery improves correlations by 98% and 48% for HbO and HbR respectively, over CW GLM. The improvement on the correlation for TD GLM over TD moment is 12% (HbO) and 27% (HbR). RMSE decreases 56% and 52% (HbO and HbR) for TD moment compared to CW GLM. We found no statistically significant improvement in the RMSE for TD GLM compared to TD moment.ConclusionsProperly covariance-scaled TD moment techniques outperform their CW equivalents in both RMSE and correlation in the recovery of the synthetic HRFs. Furthermore, our proposed TD GLM based on moments outperforms regular TD moment analysis, while allowing the incorporation of auxiliary measurements of the confounding physiological signals from the scalp.

DOWNLOAD PAPER

SPIE Journal Paper | 8 June 2022 Open Access

Multivariate Kalman filter regression of confounding physiological signals for real-time classification of fNIRS data

Antonio Ortega-Martinez, Alexander von Lühmann, Parya Farzam, De'Ja Rogers, Emily Mugler, David Boas, Meryem Yücel

NPh, Vol. 9, Issue 02, 025003, (June 2022) https://doi.org/10.1117/12.10.1117/1.NPh.9.2.025003

KEYWORDS: Filtering (signal processing), Neurophotonics, Brain-machine interfaces, Hemodynamics, Brain, Error analysis, Data modeling, Signal processing, Electronic filtering, Linear filtering

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 5 March 2021 Poster + Presentation

Real-time regression and classification of functional near infrared spectroscopy signals acquired during motor tasks

Antonio Ortega-Martinez, Alexander von Lühmann, Meryem Yücel, Parya Farzam, De'Ja Rogers, David Boas

Proceedings Volume 11629, 116292M (2021) https://doi.org/10.1117/12.2578674

KEYWORDS: Hemodynamics, Functional near infrared spectroscopy, Physiology, Human-machine interfaces, Brain, Blood

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years