{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T13:24:26Z","timestamp":1773235466711,"version":"3.50.1"},"reference-count":39,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T00:00:00Z","timestamp":1767744000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","clinicalradiologyonline.net","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Clinical Radiology"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1016\/j.crad.2026.107248","type":"journal-article","created":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T00:12:07Z","timestamp":1767831127000},"page":"107248","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Impact of a deep-learning image reconstruction algorithm on ventilation and perfusion parameters derived by phase-resolved functional lung (PREFUL) magnetic resonance imaging (MRI) in a prospective healthy cohort"],"prefix":"10.1016","volume":"94","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1225-3016","authenticated-orcid":false,"given":"J.","family":"Kroschke","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Y.","family":"Huber","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1368-2181","authenticated-orcid":false,"given":"B.","family":"Kerber","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4326-4005","authenticated-orcid":false,"given":"M.","family":"Lohezic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"T.","family":"Frauenfelder","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.crad.2026.107248_bib1","doi-asserted-by":"crossref","first-page":"1037","DOI":"10.1148\/rg.2017160174","article-title":"Pulmonary function tests for the radiologist","volume":"37","author":"Tseng","year":"2017","journal-title":"RadioGraphics"},{"issue":"3","key":"10.1016\/j.crad.2026.107248_bib2","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1007\/s12016-009-8123-4","article-title":"Interpretation of pulmonary function test: issues and controversies","volume":"37","author":"Berry","year":"2009","journal-title":"Clin Rev Allergy Immunol"},{"key":"10.1016\/j.crad.2026.107248_bib3","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1183\/09031936.05.00034505","article-title":"General considerations for lung function testing","author":"Miller","year":"2005","journal-title":"Eur Respirat J"},{"key":"10.1016\/j.crad.2026.107248_bib4","doi-asserted-by":"crossref","DOI":"10.1002\/jmri.29778","article-title":"Functional pulmonary imaging","author":"Kern","year":"2025","journal-title":"J Magn Reson Imag"},{"issue":"3","key":"10.1016\/j.crad.2026.107248_bib5","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1148\/radiol.2021203711","article-title":"Pulmonary functional imaging: part 1\u2014State-of-the-Art technical and physiologic underpinnings","volume":"299","author":"Ohno","year":"2021","journal-title":"Radiology"},{"issue":"5","key":"10.1016\/j.crad.2026.107248_bib6","doi-asserted-by":"crossref","first-page":"1542","DOI":"10.1002\/mrm.26047","article-title":"Reproducibility of fractional ventilation derived by Fourier decomposition after adjusting for tidal volume with and without an MRI compatible spirometer","volume":"76","author":"Voskrebenzev","year":"2016","journal-title":"Magn Resonan Med"},{"issue":"6","key":"10.1016\/j.crad.2026.107248_bib7","doi-asserted-by":"crossref","DOI":"10.1002\/nbm.4088","article-title":"Free-breathing quantification of regional ventilation derived by phase-resolved functional lung (PREFUL) MRI","volume":"32","author":"Klime\u0161","year":"2019","journal-title":"NMR Biomed"},{"issue":"1","key":"10.1016\/j.crad.2026.107248_bib8","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1002\/jmri.27027","article-title":"Validation of automated perfusion-weighted phase-resolved functional lung (PREFUL)-MRI in patients with pulmonary diseases","volume":"52","author":"Behrendt","year":"2020","journal-title":"J Magn Reson Imag"},{"issue":"4","key":"10.1016\/j.crad.2026.107248_bib9","doi-asserted-by":"crossref","first-page":"1122","DOI":"10.1002\/jmri.26342","article-title":"Comparison of quantitative regional perfusion-weighted phase resolved functional lung (PREFUL) MRI with dynamic gadolinium-enhanced regional pulmonary perfusion MRI in COPD patients","volume":"49","author":"Kaireit","year":"2019","journal-title":"J Magnet Reson Imag"},{"issue":"8","key":"10.1016\/j.crad.2026.107248_bib10","doi-asserted-by":"crossref","first-page":"e209","DOI":"10.1016\/j.acra.2020.05.008","article-title":"Comparison of functional free-breathing pulmonary 1H and hyperpolarized 129Xe magnetic resonance imaging in pediatric cystic fibrosis","volume":"28","author":"Couch","year":"2021","journal-title":"Acad Radiol"},{"issue":"2","key":"10.1016\/j.crad.2026.107248_bib11","article-title":"PREFUL MRI depicts dual bronchodilator changes in COPD: a retrospective analysis of a randomized controlled trial","volume":"4","author":"Voskrebenzev","year":"2022","journal-title":"Radiol Cardiothorac Imag"},{"issue":"2","key":"10.1016\/j.crad.2026.107248_bib12","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1002\/jmri.28016","article-title":"Validation of phase-resolved functional lung (PREFUL) magnetic resonance imaging pulse wave transit time compared to echocardiography in chronic obstructive pulmonary disease","volume":"56","author":"P\u00f6hler","year":"2022","journal-title":"J Magn Resonan Imag"},{"issue":"6","key":"10.1016\/j.crad.2026.107248_bib13","doi-asserted-by":"crossref","first-page":"1534","DOI":"10.1002\/jmri.25902","article-title":"Comparison of quantitative regional ventilation-weighted fourier decomposition MRI with dynamic fluorinated gas washout MRI and lung function testing in COPD patients","volume":"47","author":"Kaireit","year":"2018","journal-title":"J Magn Resonan Imag"},{"issue":"4","key":"10.1016\/j.crad.2026.107248_bib14","doi-asserted-by":"crossref","first-page":"2306","DOI":"10.1002\/mrm.26893","article-title":"Feasibility of quantitative regional ventilation and perfusion mapping with phase-resolved functional lung (PREFUL) MRI in healthy volunteers and COPD, CTEPH, and CF patients","volume":"79","author":"Voskrebenzev","year":"2018","journal-title":"Magn Reson Med"},{"issue":"2","key":"10.1016\/j.crad.2026.107248_bib15","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1002\/jmri.27097","article-title":"Chronic thromboembolic pulmonary hypertension perioperative monitoring using phase-resolved functional lung (PREFUL)-MRI","volume":"52","author":"P\u00f6hler","year":"2020","journal-title":"J Magn Reson Imag"},{"issue":"3","key":"10.1016\/j.crad.2026.107248_bib16","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1002\/jmri.27385","article-title":"Repeatability of phase-resolved functional lung (PREFUL)-MRI ventilation and perfusion parameters in healthy subjects and COPD patients","volume":"53","author":"P\u00f6hler","year":"2021","journal-title":"J Magn Reson Imag"},{"issue":"6","key":"10.1016\/j.crad.2026.107248_bib17","doi-asserted-by":"crossref","first-page":"1908","DOI":"10.1002\/jmri.28470","article-title":"129Xe and free-breathing 1H ventilation MRI in patients with cystic fibrosis: a dual-center study","volume":"57","author":"Marshall","year":"2023","journal-title":"J Magn Reson Imag"},{"key":"10.1016\/j.crad.2026.107248_bib18","article-title":"Performance characterization of a novel deep learning-based MR image reconstruction pipeline","author":"Lebel","year":"2020","journal-title":"arXiv Preprint"},{"key":"10.1016\/j.crad.2026.107248_bib19","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1016\/j.mri.2021.10.038","article-title":"Improvement of peripheral nerve visualization using a deep learning-based MR reconstruction algorithm","volume":"85","author":"Zochowski","year":"2022","journal-title":"Magn Reson Imag"},{"key":"10.1016\/j.crad.2026.107248_bib20","doi-asserted-by":"crossref","DOI":"10.3174\/ajnr.A8750","article-title":"3D MR neurography of craniocervical nerves: comparing DESS and post-contrast STIR with deeplearning-based reconstruction at 1.5T","author":"Ensle","year":"2025","journal-title":"AJNR Am J Neuroradiol"},{"issue":"Suppl 16","key":"10.1016\/j.crad.2026.107248_bib21","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1183\/09041950.005s1693","article-title":"Lung volumes and forced ventilatory flows","volume":"6","author":"Quanjer","year":"1993","journal-title":"Eur Respirat J"},{"issue":"Suppl 16","key":"10.1016\/j.crad.2026.107248_bib22","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1183\/09041950.041s1693","article-title":"Standardization of the measurement of transfer factor (diffusing capacity)","volume":"6","author":"Cotes","year":"1993","journal-title":"Eur Respirat J"},{"issue":"12","key":"10.1016\/j.crad.2026.107248_bib23","doi-asserted-by":"crossref","first-page":"2409","DOI":"10.1007\/s00256-023-04362-z","article-title":"Diagnostic performance of deep learning-based reconstruction algorithm in 3D MR neurography","volume":"52","author":"Ensle","year":"2023","journal-title":"Skeletal Radiol"},{"key":"10.1016\/j.crad.2026.107248_bib24","series-title":"GE Healthcare, GE Healthcare, AIR\u2122 Recon DL Resources, White Paper","article-title":"The clinical benefits of AIR\u2122 recon DL for MR image reconstruction","author":"Peters","year":"2020"},{"issue":"2","key":"10.1016\/j.crad.2026.107248_bib25","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1002\/jmri.20969","article-title":"Measurement of signal-to-noise ratios in MR images: influence of multichannel coils, parallel imaging, and reconstruction filters","volume":"26","author":"Dietrich","year":"2007","journal-title":"J Magn Resonan Imag"},{"issue":"6","key":"10.1016\/j.crad.2026.107248_bib26","doi-asserted-by":"crossref","first-page":"1873","DOI":"10.1002\/jmri.26799","article-title":"MRI-derived regional flow-volume loop parameters detect early-stage chronic lung allograft dysfunction","volume":"50","author":"Moher","year":"2019","journal-title":"J Magn Resonan Imag"},{"issue":"3","key":"10.1016\/j.crad.2026.107248_bib27","doi-asserted-by":"crossref","first-page":"1482","DOI":"10.1002\/mrm.28787","article-title":"Perfusion quantification using voxel-wise proton density and median signal decay in PREFUL MRI","volume":"86","author":"Glandorf","year":"2021","journal-title":"Magn Reson Med"},{"issue":"4","key":"10.1016\/j.crad.2026.107248_bib28","doi-asserted-by":"crossref","DOI":"10.1148\/radiol.221958","article-title":"Phase-resolved functional lung (PREFUL) MRI-derived ventilation and perfusion parameters predict future lung transplant loss","volume":"307","author":"Vogel-Claussen","year":"2023","journal-title":"Radiology"},{"issue":"2","key":"10.1016\/j.crad.2026.107248_bib29","doi-asserted-by":"crossref","first-page":"912","DOI":"10.1002\/mrm.28482","article-title":"3D phase-resolved functional lung ventilation MR imaging in healthy volunteers and patients with chronic pulmonary disease","volume":"85","author":"Klime\u0161","year":"2021","journal-title":"Magn Resonan Med"},{"issue":"3","key":"10.1016\/j.crad.2026.107248_bib30","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1038\/s41592-019-0686-2","article-title":"SciPy 1.0: fundamental algorithms for scientific computing in python","volume":"17","author":"Virtanen","year":"2020","journal-title":"Nat Method"},{"issue":"4","key":"10.1016\/j.crad.2026.107248_bib31","doi-asserted-by":"crossref","first-page":"1416","DOI":"10.1002\/jmri.29221","article-title":"Comparison of free-breathing 3D phase-resolved functional lung (PREFUL) MRI with dynamic (19)F ventilation MRI in patients with obstructive lung disease and healthy volunteers","volume":"60","author":"Klime\u0161","year":"2024","journal-title":"J Magn Reson Imaging"},{"issue":"12","key":"10.1016\/j.crad.2026.107248_bib32","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0244638","article-title":"Comparison of phase-resolved functional lung (PREFUL) MRI derived perfusion and ventilation parameters at 1.5T and 3T in healthy volunteers","volume":"15","author":"Glandorf","year":"2021","journal-title":"PLoS One"},{"issue":"4","key":"10.1016\/j.crad.2026.107248_bib33","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1007\/s00256-023-04484-4","article-title":"Optimized 3D brachial plexus MR neurography using deep learning reconstruction","volume":"53","author":"Sneag","year":"2024","journal-title":"Skeletal Radiol"},{"key":"10.1016\/j.crad.2026.107248_bib34","doi-asserted-by":"crossref","DOI":"10.3390\/diagnostics13142438","article-title":"Deep learning convolutional neural network reconstruction and radial k-Space acquisition MR technique for enhanced detection of retropatellar cartilage lesions of the knee joint","volume":"13","author":"Kaniewska","year":"2023","journal-title":"Diagnostics"},{"issue":"10","key":"10.1016\/j.crad.2026.107248_bib35","first-page":"1098","article-title":"Artificial intelligence based image quality enhancement in liver MRI: a quantitative and qualitative evaluation","volume":"127","author":"Zerunian","year":"2022","journal-title":"Radiol Med"},{"issue":"3","key":"10.1016\/j.crad.2026.107248_bib36","doi-asserted-by":"crossref","first-page":"738","DOI":"10.1007\/s00261-023-04124-4","article-title":"Application of a deep learning algorithm for three-dimensional T1-weighted gradient-echo imaging of gadoxetic acid-enhanced MRI in patients at a high risk of hepatocellular carcinoma","volume":"49","author":"Kim","year":"2024","journal-title":"Abdom Radiol (NY)"},{"issue":"6","key":"10.1016\/j.crad.2026.107248_bib37","doi-asserted-by":"crossref","first-page":"3846","DOI":"10.1007\/s00330-020-07461-w","article-title":"Improvement of late gadolinium enhancement image quality using a deep learning-based reconstruction algorithm and its influence on myocardial scar quantification","volume":"31","author":"van der Velde","year":"2021","journal-title":"Eur Radiol"},{"key":"10.1016\/j.crad.2026.107248_bib38","article-title":"Multicenter standardization of phase-resolved functional lung MRI in patients with suspected chronic thromboembolic pulmonary hypertension","author":"Moher Alsady","year":"2023","journal-title":"J Magn Reson Imaging"},{"issue":"2","key":"10.1016\/j.crad.2026.107248_bib39","doi-asserted-by":"crossref","DOI":"10.1148\/radiol.241596","article-title":"Phase-resolved functional lung MRI reveals distinct lung perfusion phenotype in children and adolescents with Post\u2013COVID-19 condition","volume":"314","author":"P\u00f6hler","year":"2025","journal-title":"Radiology"}],"container-title":["Clinical Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0009926026000243?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0009926026000243?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T17:18:39Z","timestamp":1773163119000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0009926026000243"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":39,"alternative-id":["S0009926026000243"],"URL":"https:\/\/doi.org\/10.1016\/j.crad.2026.107248","relation":{},"ISSN":["0009-9260"],"issn-type":[{"value":"0009-9260","type":"print"}],"subject":[],"published":{"date-parts":[[2026,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Impact of a deep-learning image reconstruction algorithm on ventilation and perfusion parameters derived by phase-resolved functional lung (PREFUL) magnetic resonance imaging (MRI) in a prospective healthy cohort","name":"articletitle","label":"Article Title"},{"value":"Clinical Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.crad.2026.107248","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author(s). Published by Elsevier Ltd on behalf of The Royal College of Radiologists.","name":"copyright","label":"Copyright"}],"article-number":"107248"}}