{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T11:23:31Z","timestamp":1761218611801,"version":"build-2065373602"},"reference-count":58,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T00:00:00Z","timestamp":1694736000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["NMR in Biomedicine"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The arterial input function (AIF) plays a crucial role in estimating quantitative perfusion properties from dynamic susceptibility contrast (DSC) MRI. An important issue, however, is that measuring the AIF in absolute contrast\u2010agent concentrations is challenging, due to uncertainty in relation to the measured \n\u2010weighted signal, signal depletion at high concentration, and partial\u2010volume effects. A potential solution could be to derive the AIF from separately acquired dynamic contrast enhanced (DCE) MRI data. We aim to compare the AIF determined from DCE MRI with the AIF from DSC MRI, and estimated perfusion coefficients derived from DSC data using a DCE\u2010driven AIF with perfusion coefficients determined using a DSC\u2010based AIF. AIFs were manually selected in branches of the middle cerebral artery (MCA) in both DCE and DSC data in each patient. In addition, a semi\u2010automatic AIF\u2010selection algorithm was applied to the DSC data. The amplitude and full width at half\u2010maximum of the AIFs were compared statistically using the Wilcoxon rank\u2010sum test, applying a 0.05 significance level. Cerebral blood flow (CBF) was derived with different AIF approaches and compared further. The results showed that the AIFs extracted from DSC scans yielded highly variable peaks across arteries within the same patient. The semi\u2010automatic DSC\u2013AIF had significantly narrower width compared with the manual AIFs, and a significantly larger peak than the manual DSC\u2013AIF. Additionally, the DCE\u2010based AIF provided a more stable measurement of relative CBF and absolute CBF values estimated with DCE\u2013AIFs that were compatible with previously reported values. In conclusion, DCE\u2010based AIFs were reproduced significantly better across vessels, showed more realistic profiles, and delivered more stable and reasonable CBF measurements. The DCE\u2013AIF can, therefore, be considered as an alternative AIF source for quantitative perfusion estimations in DSC MRI.<\/jats:p>","DOI":"10.1002\/nbm.5038","type":"journal-article","created":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T06:03:55Z","timestamp":1694757835000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Improved reliability of perfusion estimation in dynamic susceptibility contrast MRI by using the arterial input function from dynamic contrast enhanced MRI"],"prefix":"10.1002","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8692-6047","authenticated-orcid":false,"given":"Chih\u2010Hsien","family":"Tseng","sequence":"first","affiliation":[{"name":"Department of Imaging Physics Delft University of Technology  Delft the Netherlands"},{"name":"Medical Delta  Delft the Netherlands"},{"name":"Holland Proton Therapy Center Consortium\u2014Erasmus MC, Rotterdam, Holland Proton Therapy Centre, Delft Leiden University Medical Center, Leiden and Delft University of Technology  Delft the Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaap","family":"Jaspers","sequence":"additional","affiliation":[{"name":"Holland Proton Therapy Center Consortium\u2014Erasmus MC, Rotterdam, Holland Proton Therapy Centre, Delft Leiden University Medical Center, Leiden and Delft University of Technology  Delft the Netherlands"},{"name":"Department of Radiotherapy, Erasmus MC Cancer Institute University Medical Center Rotterdam  Rotterdam the Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alejandra Mendez","family":"Romero","sequence":"additional","affiliation":[{"name":"Holland Proton Therapy Center Consortium\u2014Erasmus MC, Rotterdam, Holland Proton Therapy Centre, Delft Leiden University Medical Center, Leiden and Delft University of Technology  Delft the Netherlands"},{"name":"Department of Radiotherapy, Erasmus MC Cancer Institute University Medical Center Rotterdam  Rotterdam the Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Piotr","family":"Wielopolski","sequence":"additional","affiliation":[{"name":"Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam  Rotterdam the Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marion","family":"Smits","sequence":"additional","affiliation":[{"name":"Medical Delta  Delft the Netherlands"},{"name":"Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam  Rotterdam the Netherlands"},{"name":"Brain Tumour Center, Erasmus MC Cancer Institute University Medical Center Rotterdam  Rotterdam the Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7034-8959","authenticated-orcid":false,"given":"Matthias J.P.","family":"van Osch","sequence":"additional","affiliation":[{"name":"Medical Delta  Delft the Netherlands"},{"name":"Holland Proton Therapy Center Consortium\u2014Erasmus MC, Rotterdam, Holland Proton Therapy Centre, Delft Leiden University Medical Center, Leiden and Delft University of Technology  Delft the Netherlands"},{"name":"C.J. 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