{"id":{"repo_id":"bu","oai_identifier":"oai:open.bu.edu:2144/52143"},"canonical_url":"https://search.dev.ndltd.org/etd/bu/oai:open.bu.edu:2144/52143","repository":{"repo_id":"bu","name":"Boston University","base_url":"https://open.bu.edu/oai/request"},"display":{"title":"Mapping cerebral blood flow with speckle contrast optical spectroscopy","abstract":"Cerebral blood flow (CBF) is a critical component of cerebral hemodynamics, yet the existing optical neuroimaging modalities to measure CBF do not have sufficient signal-to-noise ratio. Speckle contrast optical spectroscopy (SCOS) has been previously considered as an alternative approach to use near-infrared light to measure CBF non-invasively in humans. Several advancements in use of SCOS for CBF measurement are presented here. A data processing pipeline considering various noise sources and a pulsed laser setup were developed to account for the low photon flux at the source detector separations necessary in human CBF measurement. A camera characterization pipeline optimized for SCOS was developed to expand the range of cameras available. By choosing scalable source and detector systems, a high density, multi-channel SCOS system was developed, allowing for mapping of CBF changes during cognitive task induced cerebral activity. With these three advancements, non-invasively monitoring CBF changes in humans with high spatial and temporal resolution becomes possible.","abstract_html":"Cerebral blood flow (CBF) is a critical component of cerebral hemodynamics, yet the existing optical neuroimaging modalities to measure CBF do not have sufficient signal-to-noise ratio. Speckle contrast optical spectroscopy (SCOS) has been previously considered as an alternative approach to use near-infrared light to measure CBF non-invasively in humans. Several advancements in use of SCOS for CBF measurement are presented here. A data processing pipeline considering various noise sources and a pulsed laser setup were developed to account for the low photon flux at the source detector separations necessary in human CBF measurement. A camera characterization pipeline optimized for SCOS was developed to expand the range of cameras available. By choosing scalable source and detector systems, a high density, multi-channel SCOS system was developed, allowing for mapping of CBF changes during cognitive task induced cerebral activity. With these three advancements, non-invasively monitoring CBF changes in humans with high spatial and temporal resolution becomes possible.","abstract_has_math":false,"creators":["Kim, Byungchan"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Boas, David A.","Cheng, Xiaojun"],"committee_chairs":[],"committee_members":[],"year":2027,"date_issued":"2027","date_published":"2027","updated_at":"2026-07-24T01:25:47Z","subjects":["Biomedical engineering","Optics","Neurosciences"],"languages":["en_US"],"rights":["Attribution 4.0 International"],"rights_urls":["http://creativecommons.org/licenses/by/4.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2144/52143","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Boas, David A.","Cheng, Xiaojun"]},{"key":"dc:creator","label":"Author","values":["Kim, Byungchan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2026-02-03T13:49:24Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2026-02-03T13:49:24Z"]},{"key":"dc:date.issued","label":"Date","values":["2027"]},{"key":"dc:type","label":"Dc Type","values":["Thesis/Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Biomedical engineering","Optics","Neurosciences"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]},{"key":"dc:rights","label":"Dc Rights","values":["Attribution 4.0 International"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://creativecommons.org/licenses/by/4.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/2144/52143"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["2027"]},{"key":"dc:description.abstract","label":"Abstract","values":["Cerebral blood flow (CBF) is a critical component of cerebral hemodynamics, yet the existing optical neuroimaging modalities to measure CBF do not have sufficient signal-to-noise ratio. Speckle contrast optical spectroscopy (SCOS) has been previously considered as an alternative approach to use near-infrared light to measure CBF non-invasively in humans. Several advancements in use of SCOS for CBF measurement are presented here. A data processing pipeline considering various noise sources and a pulsed laser setup were developed to account for the low photon flux at the source detector separations necessary in human CBF measurement. A camera characterization pipeline optimized for SCOS was developed to expand the range of cameras available. By choosing scalable source and detector systems, a high density, multi-channel SCOS system was developed, allowing for mapping of CBF changes during cognitive task induced cerebral activity. With these three advancements, non-invasively monitoring CBF changes in humans with high spatial and temporal resolution becomes possible."]},{"key":"dc:title","label":"Title","values":["Mapping cerebral blood flow with speckle contrast optical spectroscopy"]}]}],"canonical_facts":{"dc:contributor.advisor":["Boas, David A.","Cheng, Xiaojun"],"dc:creator":["Kim, Byungchan"],"dc:date.accessioned":["2026-02-03T13:49:24Z"],"dc:date.available":["2026-02-03T13:49:24Z"],"dc:date.issued":["2027"],"dc:description":["2027"],"dc:description.abstract":["Cerebral blood flow (CBF) is a critical component of cerebral hemodynamics, yet the existing optical neuroimaging modalities to measure CBF do not have sufficient signal-to-noise ratio. Speckle contrast optical spectroscopy (SCOS) has been previously considered as an alternative approach to use near-infrared light to measure CBF non-invasively in humans. Several advancements in use of SCOS for CBF measurement are presented here. A data processing pipeline considering various noise sources and a pulsed laser setup were developed to account for the low photon flux at the source detector separations necessary in human CBF measurement. A camera characterization pipeline optimized for SCOS was developed to expand the range of cameras available. By choosing scalable source and detector systems, a high density, multi-channel SCOS system was developed, allowing for mapping of CBF changes during cognitive task induced cerebral activity. With these three advancements, non-invasively monitoring CBF changes in humans with high spatial and temporal resolution becomes possible."],"dc:identifier.uri":["https://hdl.handle.net/2144/52143"],"dc:language.iso":["en_US"],"dc:rights":["Attribution 4.0 International"],"dc:rights.uri":["http://creativecommons.org/licenses/by/4.0/"],"dc:subject":["Biomedical engineering","Optics","Neurosciences"],"dc:title":["Mapping cerebral blood flow with speckle contrast optical spectroscopy"],"dc:type":["Thesis/Dissertation"]},"updated_at":"2026-07-24T01:25:47Z"}