Estimating intracranial pressure using pulsatile cerebral blood flow measured with diffuse correlation spectroscopy

Alexander Ruesch; Jason Yang; Samantha Schmitt; Deepshikha Acharya; Matthew A Smith; Jana M Kainerstorfer

doi:10.1364/BOE.386612

Estimating intracranial pressure using pulsatile cerebral blood flow measured with diffuse correlation spectroscopy

Biomed Opt Express. 2020 Feb 19;11(3):1462-1476. doi: 10.1364/BOE.386612. eCollection 2020 Mar 1.

Authors

Alexander Ruesch¹, Jason Yang¹, Samantha Schmitt^{1

2

3}, Deepshikha Acharya¹, Matthew A Smith^{1

2

3}, Jana M Kainerstorfer^{1

2}

Affiliations

¹ Department of Biomedical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA.
² Neuroscience Institute, Carnegie Mellon University, 4400 Fifth Avenue, Pittsburgh, PA 15213, USA.
³ Department of Ophthalmology, University of Pittsburgh, 203 Lothrop Street, Pittsburgh, PA 15213, USA.

Abstract

Measuring intracranial pressure (ICP) is necessary for the treatment of severe head injury but measurement systems are highly invasive and introduce risk of infection and complications. We developed a non-invasive alternative for quantifying ICP using measurements of cerebral blood flow (CBF) by diffuse correlation spectroscopy. The recorded cardiac pulsation waveform in CBF undergoes morphological changes in response to ICP changes. We used the pulse shape to train a randomized regression forest to estimate the underlying ICP and demonstrate in five non-human primates that DCS-based estimation can explain over 90% of the variance in invasively measured ICP.

Grants and funding

R21 EB024675/EB/NIBIB NIH HHS/United States