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Proceedings Paper

Non-invasive assessment of cerebral microcirculation with diffuse optics and coherent hemodynamics spectroscopy
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Paper Abstract

We describe the general principles and initial results of coherent hemodynamics spectroscopy (CHS), which is a new technique for the quantitative assessment of cerebral hemodynamics on the basis of dynamic near-infrared spectroscopy (NIRS) measurements. The two components of CHS are (1) dynamic measurements of coherent cerebral hemodynamics in the form of oscillations at multiple frequencies (frequency domain) or temporal transients (time domain), and (2) their quantitative analysis with a dynamic mathematical model that relates the concentration and oxygen saturation of hemoglobin in tissue to cerebral blood volume (CBV), cerebral blood flow (CBF), and cerebral metabolic rate of oxygen (CMRO2). In particular, CHS can provide absolute measurements and dynamic monitoring of CBF, and quantitative measures of cerebral autoregulation. We report initial results of CBF measurements in hemodialysis patients, where we found a lower CBF (54 ± 16 ml/(100 g-min)) compared to a group of healthy controls (95 ± 11 ml/(100 g-min)). We also report CHS measurements of cerebral autoregulation, where a quantitative index of autoregulation (its cutoff frequency) was found to be significantly greater in healthy subjects during hyperventilation (0.034 ± 0.005 Hz) than during normal breathing (0.017 ± 0.002 Hz). We also present our approach to depth resolved CHS, based on multi-distance, frequency-domain NIRS data and a two-layer diffusion model, to enhance sensitivity to cerebral tissue. CHS offers a potentially powerful approach to the quantitative assessment and continuous monitoring of local brain perfusion at the microcirculation level, with prospective brain mapping capabilities of research and clinical significance.

Paper Details

Date Published: 9 March 2016
PDF: 9 pages
Proc. SPIE 9690, Clinical and Translational Neurophotonics; Neural Imaging and Sensing; and Optogenetics and Optical Manipulation, 96900S (9 March 2016); doi: 10.1117/12.2213139
Show Author Affiliations
Sergio Fantini, Tufts Univ. (United States)
Angelo Sassaroli, Tufts Univ. (United States)
Jana M. Kainerstorfer, Carnegie Mellon Univ. (United States)
Kristen T. Tgavalekos, Tufts Univ. (United States)
Xuan Zang, Tufts Univ. (United States)

Published in SPIE Proceedings Vol. 9690:
Clinical and Translational Neurophotonics; Neural Imaging and Sensing; and Optogenetics and Optical Manipulation
Steen J. Madsen; E. Duco Jansen; Samarendra K. Mohanty; Nitish V. Thakor; Qingming Luo; Victor X. D. Yang, Editor(s)

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