{"_id":"L5sPKujhgmpQnwE3P","bibbaseid":"sathialingam-lee-sanders-park-mccracken-bryan-buckley-smallseparationdiffusecorrelationspectroscopyformeasurementofcerebralbloodflowinrodents-2018","downloads":0,"creationDate":"2019-02-05T19:15:04.364Z","title":"Small separation diffuse correlation spectroscopy for measurement of cerebral blood flow in rodents","author_short":["Sathialingam, E.","Lee, S. Y.","Sanders, B.","Park, J.","McCracken, C. E.","Bryan, L.","Buckley, E. M."],"year":2018,"bibtype":"article","biburl":"https://bibbase.org/zotero/kherzegh","bibdata":{"bibtype":"article","type":"article","title":"Small separation diffuse correlation spectroscopy for measurement of cerebral blood flow in rodents","volume":"9","issn":"2156-7085","doi":"10.1364/BOE.9.005719","abstract":"Diffuse correlation spectroscopy (DCS) has shown promise as a means to non-invasively measure cerebral blood flow in small animal models. Here, we characterize the validity of DCS at small source-detector reflectance separations needed for small animal measurements. Through Monte Carlo simulations and liquid phantom experiments, we show that DCS error increases as separation decreases, although error remains below 12% for separations \\textgreater 0.2 cm. In mice, DCS measures of cerebral blood flow have excellent intra-user repeatability and strongly correlate with MRI measures of blood flow (R = 0.74, p\\textless0.01). These results are generalizable to other DCS applications wherein short-separation reflectance geometries are desired.","language":"eng","number":"11","journal":"Biomedical Optics Express","author":[{"propositions":[],"lastnames":["Sathialingam"],"firstnames":["Eashani"],"suffixes":[]},{"propositions":[],"lastnames":["Lee"],"firstnames":["Seung","Yup"],"suffixes":[]},{"propositions":[],"lastnames":["Sanders"],"firstnames":["Bharat"],"suffixes":[]},{"propositions":[],"lastnames":["Park"],"firstnames":["Jaekeun"],"suffixes":[]},{"propositions":[],"lastnames":["McCracken"],"firstnames":["Courtney","E."],"suffixes":[]},{"propositions":[],"lastnames":["Bryan"],"firstnames":["Leah"],"suffixes":[]},{"propositions":[],"lastnames":["Buckley"],"firstnames":["Erin","M."],"suffixes":[]}],"month":"November","year":"2018","pmid":"30460158","pmcid":"PMC6238900","pages":"5719–5734","bibtex":"@article{sathialingam_small_2018,\n\ttitle = {Small separation diffuse correlation spectroscopy for measurement of cerebral blood flow in rodents},\n\tvolume = {9},\n\tissn = {2156-7085},\n\tdoi = {10.1364/BOE.9.005719},\n\tabstract = {Diffuse correlation spectroscopy (DCS) has shown promise as a means to non-invasively measure cerebral blood flow in small animal models. Here, we characterize the validity of DCS at small source-detector reflectance separations needed for small animal measurements. Through Monte Carlo simulations and liquid phantom experiments, we show that DCS error increases as separation decreases, although error remains below 12\\% for separations {\\textgreater} 0.2 cm. In mice, DCS measures of cerebral blood flow have excellent intra-user repeatability and strongly correlate with MRI measures of blood flow (R = 0.74, p{\\textless}0.01). These results are generalizable to other DCS applications wherein short-separation reflectance geometries are desired.},\n\tlanguage = {eng},\n\tnumber = {11},\n\tjournal = {Biomedical Optics Express},\n\tauthor = {Sathialingam, Eashani and Lee, Seung Yup and Sanders, Bharat and Park, Jaekeun and McCracken, Courtney E. and Bryan, Leah and Buckley, Erin M.},\n\tmonth = nov,\n\tyear = {2018},\n\tpmid = {30460158},\n\tpmcid = {PMC6238900},\n\tpages = {5719--5734},\n}\n\n","author_short":["Sathialingam, E.","Lee, S. Y.","Sanders, B.","Park, J.","McCracken, C. E.","Bryan, L.","Buckley, E. M."],"key":"sathialingam_small_2018","id":"sathialingam_small_2018","bibbaseid":"sathialingam-lee-sanders-park-mccracken-bryan-buckley-smallseparationdiffusecorrelationspectroscopyformeasurementofcerebralbloodflowinrodents-2018","role":"author","urls":{},"metadata":{"authorlinks":{}}},"search_terms":["small","separation","diffuse","correlation","spectroscopy","measurement","cerebral","blood","flow","rodents","sathialingam","lee","sanders","park","mccracken","bryan","buckley"],"keywords":[],"authorIDs":[],"dataSources":["krywLsafZzFZZ5A2Q"]}