Dr. Jason Yang Profile

Dr. Jason Yang

at Carnegie Mellon Univ

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Author

Publications (16)

Proceedings Article | 13 March 2024 Presentation

Blood pressure estimation using near-infrared spectroscopy (NIRS)

William Scammon, Jason Yang, Rohan Goswami, Jana Kainerstorfer

Proceedings Volume PC12841, PC128410G (2024) https://doi.org/10.1117/12.3003403

KEYWORDS: Near infrared spectroscopy, Blood pressure, Blood circulation, Transducers, Physiology, Oxygenation, Hemodynamics, Heart, Blood

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SPIE Journal Paper | 20 January 2024 Open Access

Pulsatile microvascular cerebral blood flow waveforms change with intracranial compliance and age

Nikita Kedia, Michael M. McDowell, Jason Yang, Jingyi Wu, Robert M. Friedlander, Jana M. Kainerstorfer

NPh, Vol. 11, Issue 01, 015003, (January 2024) https://doi.org/10.1117/12.10.1117/1.NPh.11.1.015003

KEYWORDS: Curium, Compliance, Cerebral blood flow, Blood circulation, Neurophotonics, Surgery, Pulse signals, Brain, Magnetic resonance imaging, MATLAB

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Proceedings Article | 15 March 2023 Presentation + Paper

Monitoring cerebral autoregulation at the respiration rate using near-infrared spectroscopy

N. Kedia, M. Banerjee, D. Acharya, A. Ruesch, J. Yang, S. Schmitt, M. Smith, J. Kainerstorfer

Proceedings Volume 12364, 123640N (2023) https://doi.org/10.1117/12.2650835

KEYWORDS: Near infrared spectroscopy, Heart, Tunable filters, Signal to noise ratio, Sensors, Frequency response, Spectroscopy

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Cerebral autoregulation (CA) is a mechanism to maintain cerebral blood flow (CBF) in response to changes in cerebral perfusion pressure (CPP), through active vasoconstriction and vasodilation of arterioles in the brain. Dynamic CA is believed to act as a high-pass filter such that only low frequency changes in pressure are counteracted by an active vasculature response. With high frequency oscillations in pressure, such as those that occur at the heart rate (HR), the effects of dynamic CA are absent and changes in CPP are passively transmitted to CBF based on the cerebrovascular resistance (CVR) and compliance (CVC). These changes in CVR/CVC occur with steady-state changes in CA which can be described by Lassen’s curve. However, it is unclear what drives phase differences between pressure and flow at the respiration rate of around 0.2 Hz (12 breaths per minute). Quantifying phase differences at the physiologic respiration rate could be useful to gain a better understanding of the effects of CA and as a potential clinical monitoring tool. In this work, we looked at phase differences between arterial blood pressure (ABP) and intracranial pressure (ICP) measured with invasive pressure sensors, which serve as surrogates for CPP and CBF, to investigate how Arg(ABP)-Arg(ICP) change at the respiration rate as a function of the CPP. We quantify how Arg(ABP)-Arg(ICP) changes with respect to CPP after low-frequency oscillations, respiratory induced oscillations, and with oscillations driven by the heart rate. In each frequency regime, the trends in phase differences between Arg(ABP)-Arg(ICP) are unique with respect to CPP. At the respiration rate, the trends in Arg(ABP)-Arg(ICP) did not completely follow those predicted by a dynamic CA response or by CVC/CVR, thus we believe that there is a combination of effects influencing the phase difference between Arg(ABP)-Arg(ICP) at the respiration frequency. We also explore whether this response could be monitored completely non-invasively using near infrared spectroscopy (NIRS). We use Arg(ΔHbT)-Arg(ΔHbO) as surrogates for CPP and CBF and see a similar response of phase differences with respect to CPP at the respiration rate.

Proceedings Article | 15 March 2023 Presentation + Paper

Non-invasive estimation of intracranial pressure using near-infrared spectroscopy

William Scammon, Filip Relander, Syeda Tabassum, Deepshikha Acharya, Alexander Ruesch, Jason Yang, Michael Wolf, Jaskaran Rakkar, Robert S. Clark, Michael McDowell, Jana Kainerstorfer

Proceedings Volume 12364, 123640J (2023) https://doi.org/10.1117/12.2652974

KEYWORDS: Near infrared spectroscopy, Intracranial pressure, Electrocardiography, Windows, Machine learning, Medicine, Heart, Sensors, Sampling rates, Injuries

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SPIE Journal Paper | 23 January 2023 Open Access

Cerebrovascular impedance estimation with near-infrared and diffuse correlation spectroscopy

Jason Yang, Alexander Ruesch, Jana Kainerstorfer

NPh, Vol. 10, Issue 01, 015002, (January 2023) https://doi.org/10.1117/12.10.1117/1.NPh.10.1.015002

KEYWORDS: Near infrared spectroscopy, Blood pressure, Blood, Blood circulation, Head, Hemodynamics, Neurophotonics, Electrocardiography, Autocorrelation, Windows

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SPIE Journal Paper | 11 October 2022 Open Access

Using near-infrared spectroscopy and a random forest regressor to estimate intracranial pressure

Filip A. Relander, Alexander Ruesch, Jason Yang, Deepshikha Acharya, Bradley Scammon, Samantha Schmitt, Emily Crane, Matthew Smith, Jana Kainerstorfer

NPh, Vol. 9, Issue 04, 045001, (October 2022) https://doi.org/10.1117/12.10.1117/1.NPh.9.4.045001

KEYWORDS: Near infrared spectroscopy, Feature extraction, Neurophotonics, Machine learning, Electronic filtering, Data modeling, Filtering (signal processing), Blood pressure, Sensors, Brain

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Proceedings Article | 7 March 2022 Presentation

Clinical translation of intracranial pressure sensing with diffuse correlation spectroscopy

Syeda Tabassum, Alexander Ruesch, Deepshikha Acharya, Jason Yang, Jaskaran Rakkar, Robert S. Clark, Michael McDowell, Jana Kainerstorfer

Proceedings Volume PC11945, PC119450A (2022) https://doi.org/10.1117/12.2610429

KEYWORDS: Spectroscopy, Signal processing, Pathology, Morphological analysis, Machine learning, Data acquisition, Cerebral blood flow, Animal model studies

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Proceedings Article | 7 March 2022 Presentation

Optical methods for non-invasive assessment of cerebral microvascular flow impedance

Jason Yang, Deepshikha Acharya, Bradley Scammon, Samantha Schmitt, Matthew Smith, Jana Kainerstorfer

Proceedings Volume PC11945, PC1194501 (2022) https://doi.org/10.1117/12.2609917

KEYWORDS: Blood circulation, Near infrared spectroscopy, Modulation, Microfluidics, Blood pressure, Traumatic brain injury, Temporal resolution, Spectroscopy, Resistance, In vivo imaging

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SPIE Journal Paper | 24 May 2021 Open Access

Two-layer spatial frequency domain imaging of compression-induced hemodynamic changes in breast tissue

Constance Robbins, Syeda Tabassum, Molly Baumhauer, Jason Yang, James Antaki, Jana Kainerstorfer

JBO, Vol. 26, Issue 05, 056005, (May 2021) https://doi.org/10.1117/12.10.1117/1.JBO.26.5.056005

KEYWORDS: Breast, Hemodynamics, Skin, Optical properties, Tissue optics, Absorption, Scattering, Tissues, Tumors, Monte Carlo methods

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Proceedings Article | 9 March 2020 Presentation

Optical methods for non-invasive assessment of arteriole flow impedance (Conference Presentation)

Jason Yang, Alexander Ruesch, Jana Kainerstorfer

Proceedings Volume 11226, 1122610 (2020) https://doi.org/10.1117/12.2547639

KEYWORDS: Near infrared spectroscopy, Head, Modulation, Blood, Blood circulation, Resistance, Blood pressure, Temporal resolution, Cerebral blood flow, Spectroscopy

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Proceedings Article | 9 March 2020 Presentation

Role of cerebrovascular autoregulation in neurovascular coupling (Conference Presentation)

Deepshikha Acharya, Alexander Ruesch, Jason Yang, Samantha Schmitt, Jana Kainerstorfer, Matthew Smith

Proceedings Volume 11226, 112260Y (2020) https://doi.org/10.1117/12.2546760

KEYWORDS: Neurovascular coupling, Brain, Cerebral blood flow, Pathology, Near infrared spectroscopy, Traumatic brain injury, Electroencephalography, Visualization, Spectroscopy, Hemodynamics

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Proceedings Article | 9 March 2020 Presentation

Intracranial pressure estimated non-invasively in non-human primates and pediatric critical care (Conference Presentation)

Alexander Ruesch, Samantha Schmitt, Jason Yang, Deepshikha Acharya, Jaskaran Rakkar, Michael Wolf, Michael Mcdowell, Elizabeth Tyler-Kabara, Robert S. Clark, Matthew Smith, Jana Kainerstorfer

Proceedings Volume 11226, 112261J (2020) https://doi.org/10.1117/12.2546761

KEYWORDS: Traumatic brain injury, Blood pressure, Skull, Transducers, Brain, Tissues, Near infrared spectroscopy, Machine learning, Analytical research, Cerebral blood flow

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Proceedings Article | 11 July 2019 Paper

Diffuse correlation spectroscopy for intracranial pressure estimation through cardiac pulse waveform analysis

Alexander Ruesch, Jason Yang, Deepshikha Acharya, Samantha Schmitt, Deepa Issar, Matthew Smith, Jana Kainerstorfer

Proceedings Volume 11074, 110740Z (2019) https://doi.org/10.1117/12.2527187

KEYWORDS: Brain, Spectroscopy, Cerebral blood flow, Blood pressure, Machine learning, Traumatic brain injury, Blood circulation

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Proceedings Article | 4 March 2019 Presentation

Low-cost high temporal resolution diffuse correlation spectroscopy (Conference Presentation)

Jason Yang, Alexander Ruesch, Matthew Smith, Jana Kainerstorfer

Proceedings Volume 10874, 1087416 (2019) https://doi.org/10.1117/12.2510467

KEYWORDS: Temporal resolution, Spectroscopy, Blood circulation, Signal to noise ratio, Tissue optics, Optical correlators, Brain, Ionizing radiation, Speckle pattern, Laser scattering

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Proceedings Article | 1 March 2019 Presentation + Paper

Hand-held multi-wavelength spatial frequency domain imaging for breast cancer imaging

Constance Robbins, Jason Yang, James Antaki, Jana Kainerstorfer

Proceedings Volume 10874, 108740U (2019) https://doi.org/10.1117/12.2510399

KEYWORDS: Tumors, Breast, Tissues, Optical properties, Hemodynamics, Mammography, Imaging systems, Breast cancer, Tissue optics, Near infrared spectroscopy

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Proceedings Article | 1 March 2019 Presentation + Paper

Frequency dependent hemodynamic response to intracranial pressure changes

Alexander Ruesch, Jason Yang, Samantha Nelson, Matthew Smith, Jana Kainerstorfer

Proceedings Volume 10874, 108741E (2019) https://doi.org/10.1117/12.2510113

KEYWORDS: Hemodynamics, Near infrared spectroscopy, Brain, Blood circulation, Blood, Diffusion, Blood pressure

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Showing 5 of 16 publications

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