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Med. Biol."],"published-print":{"date-parts":[[2021,3,21]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Positron emission tomography (PET) remains the gold standard for quantitative imaging of the cerebral metabolic rate of oxygen (CMRO\n                    <jats:sub>2<\/jats:sub>\n                    ); however, it is an invasive and complex procedure that requires accounting for recirculating [\n                    <jats:sup>15<\/jats:sup>\n                    O]H\n                    <jats:sub>2<\/jats:sub>\n                    O (RW) and the cerebral blood volume (CBV). This study presents a non-invasive reference-based technique for imaging CMRO\n                    <jats:sub>2<\/jats:sub>\n                    that was developed for PET\/magnetic resonance imaging (MRI) with the goal of simplifying the PET procedure while maintaining its ability to quantify metabolism. The approach is to use whole-brain (WB) measurements of oxygen extraction fraction (OEF) and cerebral blood flow (CBF) to calibrate [\n                    <jats:sup>15<\/jats:sup>\n                    O]O\n                    <jats:sub>2<\/jats:sub>\n                    -PET data, thereby avoiding the need for invasive arterial sampling. Here we present the theoretical framework, along with error analyses, sensitivity to PET noise and inaccuracies in input parameters, and initial assessment on PET data acquired from healthy participants. Simulations showed that neglecting RW and CBV corrections caused errors in CMRO\n                    <jats:sub>2<\/jats:sub>\n                    of less than \u00b110% for changes in regional OEF of \u00b125%. These predictions were supported by applying the reference-based approach to PET data, which resulted in remarkably similar CMRO\n                    <jats:sub>2<\/jats:sub>\n                    images to those generated by analyzing the same data using a modeling approach that incorporated the arterial input functions and corrected for CBV contributions. Significant correlations were observed between regional CMRO\n                    <jats:sub>2<\/jats:sub>\n                    values from the two techniques (slope\u00a0=\u00a01.00\u00a0\u00b1\u00a00.04,\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    \u00a0&gt;\u00a00.98) with no significant differences found for integration times of 3 and 5 min. In summary, results demonstrate the feasibility of producing quantitative CMRO\n                    <jats:sub>2<\/jats:sub>\n                    images by PET\/MRI without the need for invasive blood sampling.\n                  <\/jats:p>","DOI":"10.1088\/1361-6560\/abe737","type":"journal-article","created":{"date-parts":[[2021,2,17]],"date-time":"2021-02-17T19:38:59Z","timestamp":1613590739000},"page":"065009","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["A non-invasive reference-based method for imaging the cerebral metabolic rate of oxygen by PET\/MR: theory and error analysis"],"prefix":"10.1088","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0776-3890","authenticated-orcid":false,"given":"Lucas","family":"Narciso","sequence":"first","affiliation":[{"name":"Lawson Health Research Institute, London, Ontario,"},{"name":"Western University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tracy","family":"Ssali","sequence":"additional","affiliation":[{"name":"Lawson Health Research Institute, London, Ontario,"},{"name":"Western University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hidehiro","family":"Iida","sequence":"additional","affiliation":[{"name":"University of Turku and Turku PET Centre"},{"name":"National Cerebral and Cardiovascular Center"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keith","family":"St Lawrence","sequence":"additional","affiliation":[{"name":"Lawson Health Research Institute, London, Ontario,"},{"name":"Western University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2021,3,4]]},"reference":[{"key":"pmbabe737bib1","doi-asserted-by":"publisher","first-page":"1177","DOI":"10.1038\/jcbfm.2012.18","type":"journal-article","article-title":"Brain energy metabolism and blood flow differences in healthy aging","volume":"32","author":"Aanerud","year":"2012","journal-title":"J. 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All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2020-10-26","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2021-02-17","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2021-03-04","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}