{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T15:27:35Z","timestamp":1761060455611},"reference-count":45,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2017,11,13]],"date-time":"2017-11-13T00:00:00Z","timestamp":1510531200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance in Med"],"published-print":{"date-parts":[[2018,7]]},"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p>Renal dynamic contrast\u2010enhanced (DCE) MRI provides information on renal perfusion and filtration. However, clinical implementation is hampered by challenges in postprocessing as a result of misalignment of the kidneys due to respiration. We propose to perform automated image registration using the fat\u2010only images derived from a modified Dixon reconstruction of a dual\u2010echo acquisition because these provide consistent contrast over the dynamic series.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>DCE data of 10 hypertensive patients was used. Dual\u2010echo images were acquired at 1.5\u2009T with temporal resolution of 3.9 s during contrast agent injection. Dixon fat, water, and in\u2010phase and opposed\u2010phase (OP) images were reconstructed. Postprocessing was automated. Registration was performed both to fat images and OP images for comparison. Perfusion and filtration values were extracted from a two\u2010compartment model fit.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Automatic registration to fat images performed better than automatic registration to OP images with visible contrast enhancement. Median vertical misalignment of the kidneys was 14\u2009mm prior to registration, compared to 3\u2009mm and 5\u2009mm with registration to fat images and OP images, respectively (<jats:italic>P<\/jats:italic>\u2009=\u20090.03). Mean perfusion values and MR\u2010based glomerular filtration rates (GFR) were 233\u2009\u00b1\u200964\u2009mL\/100\u2009mL\/min and 60\u2009\u00b1\u200936\u2009mL\/minute, respectively, based on fat\u2010registered images. MR\u2010based GFR correlated with creatinine\u2010based GFR (<jats:italic>P<\/jats:italic>\u2009=\u20090.04) for fat\u2010registered images. For unregistered and OP\u2010registered images, this correlation was not significant.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Absence of contrast changes on Dixon fat images improves registration in renal DCE MRI and enables automated postprocessing, resulting in a more accurate estimation of GFR. Magn Reson Med 80:66\u201376, 2018. \u00a9 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mrm.26999","type":"journal-article","created":{"date-parts":[[2017,11,14]],"date-time":"2017-11-14T04:58:39Z","timestamp":1510635519000},"page":"66-76","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Modified dixon\u2010based renal dynamic contrast\u2010enhanced MRI facilitates automated registration and perfusion analysis"],"prefix":"10.1002","volume":"80","author":[{"given":"Anneloes","family":"de Boer","sequence":"first","affiliation":[{"name":"Utrecht University Medical Center Utrecht University Utrecht The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tim","family":"Leiner","sequence":"additional","affiliation":[{"name":"Utrecht University Medical Center Utrecht University Utrecht The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eva E.","family":"Vink","sequence":"additional","affiliation":[{"name":"Utrecht University Medical Center Utrecht University Utrecht The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter J.","family":"Blankestijn","sequence":"additional","affiliation":[{"name":"Utrecht University Medical Center Utrecht University Utrecht The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cornelis A.T.","family":"van den Berg","sequence":"additional","affiliation":[{"name":"Utrecht University Medical Center Utrecht University Utrecht The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2017,11,13]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2014.02.014"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.20699"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2013.03.015"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.14.13226"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.22028"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2013.01.015"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0099990"},{"key":"e_1_2_7_9_1","first-page":"10","article-title":"Non\u2010invasive image\u2010based approach for early detection of acute renal rejection","volume":"13","author":"Khalifa F","year":"2010","journal-title":"Med Image Comput Comput Assist Interv"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.2977"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.4900600"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.20608"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0b013e3181583b0c"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2009.05.042"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.3109\/02841851.2010.519717"},{"key":"e_1_2_7_16_1","doi-asserted-by":"crossref","unstructured":"ZikicD SourbronS FengX MichaelyHJ KhameneA NavabN.Automatic alignment of renal DCE\u2010MRI image series for improvement of quantitative tracer kinetic studies. 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