Athinoula A. Martinos Center for Biomedical Imaging
149 13th Street, Charlestown, MA 02129, Room 2204
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Interferometric, acousto-optic modulated diffuse correlation spectroscopy @ 1064 nm (AOM-iDCS) toward higher sensitivity, non-invasive measurement of cerebral blood flow
Continuous, bedside monitoring of cerebral blood flow in patients at risk for neurovascular complications has the potential to decrease morbidity and mortality. While measures of systemic physiology can be used to infer cerebral perfusion, a technology that directly and continuously measures cerebral blood flow (CBF) is needed to properly manage treatment. Diffuse Correlation Spectroscopy (DCS) is an established optical technique that enables continuous, non-invasive, and direct measurements of CBF. The effectiveness of DCS in measuring CBF is hampered in adults by extracerebral contamination and limited depth sensitivity. The goal of this dissertation is to extend the usefulness of DCS in the adult population through the development of new techniques, including the use of longer wavelengths (1064 nm), acousto-optic modulation, and heterodyne detection to enhance CBF sensitivity and reduce extracerebral contamination. In each domain of improvement, we develop theory to describe the detected optical signals, develop hardware to enable measurements, and characterize the performance of the developed systems in phantom and human subject experiments. By taking advantage of the longer wavelength, including ultrasound sonification of the tissue to tag the photons, applying heterodyne detection, and time resolved detection, these techniques have the potential to be mixed and matched and increase sensitivity to CBF and improve the SNR of the measurement to enable non-invasive, bedside measurements.
Thesis Supervisor:
Maria Angela Franceschini, PhD,
Professor in Radiology, Massachusetts General Hospital, Harvard Medical School
Thesis Committee Chair:
Elfar Adalsteinsson, PhD
Eaton-Peabody Professor, Electrical Engineering and Computer Science and Institute for Medical Engineering and Computer Science, Massachusetts Institute of Technology
Thesis Readers:
Stefan Carp, PhD,
Assistant Professor in Radiology, Massachusetts General Hospital, Harvard Medical School
Sava Sakadzic, PhD,
Associate Professor in Radiology, Massachusetts General Hospital, Harvard Medical School
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