{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T14:59:52Z","timestamp":1786114792739,"version":"build-2736575974"},"reference-count":42,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100019224","name":"King Faisal University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100019224","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100020912","name":"King Faisal University","doi-asserted-by":"publisher","award":["KFU263454"],"award-info":[{"award-number":["KFU263454"]}],"id":[{"id":"10.13039\/501100020912","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.mri.2026.110735","type":"journal-article","created":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T06:50:31Z","timestamp":1782543031000},"page":"110735","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Enhanced respiratory motion compensation in free-breathing dynamic contrast-enhanced MRI with GROG-facilitated bunch phase encoding and Golden angle radial sampling"],"prefix":"10.1016","volume":"133","author":[{"given":"Yumna","family":"Bilal","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad Faisal","family":"Siddiqui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ibtisam","family":"Aslam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hammad","family":"Omer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.mri.2026.110735_bb0005","first-page":"147","article-title":"Dynamic contrast-enhanced magnetic resonance imaging: fundamentals and application to the evaluation of the peripheral perfusion","volume":"4","author":"Gordon","year":"2014","journal-title":"Cardiovasc Diagn Ther"},{"key":"10.1016\/j.mri.2026.110735_bb0010","first-page":"1","article-title":"Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging","author":"Albano","year":"2022","journal-title":"Jpn J Radiol"},{"key":"10.1016\/j.mri.2026.110735_bb0015","doi-asserted-by":"crossref","first-page":"1080","DOI":"10.1097\/00004728-198611000-00046","article-title":"Respiration artifacts in MR imaging: reduction by breath holding","volume":"10","author":"Paling","year":"1986","journal-title":"J Comput Assist Tomogr"},{"key":"10.1016\/j.mri.2026.110735_bb0020","doi-asserted-by":"crossref","DOI":"10.1615\/CritRevBiomedEng.v40.i2.20","article-title":"Motion compensation strategies in magnetic resonance imaging","volume":"40","author":"van Heeswijk","year":"2012","journal-title":"Crit Rev Biomed Eng"},{"key":"10.1016\/j.mri.2026.110735_bb0025","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.neuroimage.2016.11.014","article-title":"Prospective motion correction in functional MRI","volume":"154","author":"Zaitsev","year":"2017","journal-title":"Neuroimage"},{"key":"10.1016\/j.mri.2026.110735_bb0030","series-title":"Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference, Munich, Germany","first-page":"501","article-title":"Motion compensated abdominal diffusion weighted MRI by simultaneous image registration and model estimation (SIR-ME)","author":"Kurugol","year":"2015"},{"key":"10.1016\/j.mri.2026.110735_bb0035","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TMI.2013.2268898","article-title":"Retrospective rigid motion correction in k-space for segmented radial MRI","volume":"33","author":"Vaillant","year":"2013","journal-title":"IEEE Trans Med Imaging"},{"key":"10.1016\/j.mri.2026.110735_bb0040","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1109\/TMI.2023.3323215","article-title":"Deep learning for retrospective motion correction in MRI: a comprehensive review","volume":"43","author":"Spieker","year":"2023","journal-title":"IEEE Trans Med Imaging"},{"key":"10.1016\/j.mri.2026.110735_bb0045","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1002\/mrm.24980","article-title":"Golden-angle radial sparse parallel MRI: combination of compressed sensing, parallel imaging, and golden-angle radial sampling for fast and flexible dynamic volumetric MRI","volume":"72","author":"Feng","year":"2014","journal-title":"Magn Reson Med"},{"key":"10.1016\/j.mri.2026.110735_bb0050","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1002\/mrm.25665","article-title":"XD-GRASP: golden-angle radial MRI with reconstruction of extra motion-state dimensions using compressed sensing","volume":"75","author":"Feng","year":"2016","journal-title":"Magn Reson Med"},{"key":"10.1016\/j.mri.2026.110735_bb0055","author":"Encyclopaedia Britannica"},{"key":"10.1016\/j.mri.2026.110735_bb0060","series-title":"Rapid parallel reconstruction for arbitrary k-space trajectories","author":"Lin","year":"2016"},{"key":"10.1016\/j.mri.2026.110735_bb0065","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1002\/mrm.27002","article-title":"RACER-GRASP: respiratory-weighted, aortic contrast enhancement-guided and coil-unstreaking golden-angle radial sparse MRI","volume":"80","author":"Feng","year":"2018","journal-title":"Magn Reson Med"},{"key":"10.1016\/j.mri.2026.110735_bb0070","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1002\/mrm.27030","article-title":"Optimization and validation of accelerated golden-angle radial sparse MRI reconstruction with self-calibrating GRAPPA operator gridding","volume":"80","author":"Benkert","year":"2018","journal-title":"Magn Reson Med"},{"key":"10.1016\/j.mri.2026.110735_bb0075","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1002\/mrm.27903","article-title":"GRASP-pro: imProving GRASP DCE-MRI through self-calibrating subspace-modeling and contrast phase automation","volume":"83","author":"Feng","year":"2020","journal-title":"Magn Reson Med"},{"key":"10.1016\/j.mri.2026.110735_bb0080","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1002\/jmri.28187","article-title":"Golden-angle radial MRI: basics, advances, and applications","volume":"56","author":"Feng","year":"2022","journal-title":"J Magn Reson Imaging"},{"key":"10.1016\/j.mri.2026.110735_bb0085","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1002\/mrm.21891","article-title":"Using the GRAPPA operator and the generalized sampling theorem to reconstruct undersampled non-cartesian data","volume":"61","author":"Seiberlich","year":"2009","journal-title":"Magn Reson Med"},{"key":"10.1016\/j.mri.2026.110735_bb0090","doi-asserted-by":"crossref","first-page":"178441","DOI":"10.1109\/ACCESS.2024.3495044","article-title":"GROG facilitated compressed sensing for radial MRI","volume":"12","author":"Bilal","year":"2024","journal-title":"IEEE Access"},{"key":"10.1016\/j.mri.2026.110735_bb0095","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1097\/RLI.0b013e318271869c","article-title":"Free-breathing contrast-enhanced multiphase MRI of the liver using a combination of compressed sensing, parallel imaging, and golden-angle radial sampling","volume":"48","author":"Chandarana","year":"2013","journal-title":"Investig Radiol"},{"key":"10.1016\/j.mri.2026.110735_bb0100","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.mri.2020.03.011","article-title":"Respiratory motion compensation using data binning in dynamic contrast enhanced golden-angle radial MRI","volume":"70","author":"Shahzadi","year":"2020","journal-title":"Magn Reson Imaging"},{"key":"10.1016\/j.mri.2026.110735_bb0105","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1007\/s10334-019-00794-8","article-title":"Respiratory motion-corrected, compressively sampled dynamic MR image reconstruction by exploiting multiple sparsity constraints and phase correlation-based data binning","volume":"33","author":"Najeeb","year":"2020","journal-title":"MAGMA"},{"key":"10.1016\/j.mri.2026.110735_bb0110","doi-asserted-by":"crossref","first-page":"121193","DOI":"10.1109\/ACCESS.2022.3222313","article-title":"Improved dynamic contrast-enhanced MRI using low rank with joint sparsity","volume":"10","author":"Zhang","year":"2022","journal-title":"IEEE Access"},{"key":"10.1016\/j.mri.2026.110735_bb0115","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2023.107707","article-title":"Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network","volume":"168","author":"Qu","year":"2024","journal-title":"Comput Biol Med"},{"key":"10.1016\/j.mri.2026.110735_bb0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2026.131351","article-title":"JSDU-net: joint sensitivity-learning driven deep unfolding network for accelerated radial MRI reconstruction","volume":"310","author":"Qu","year":"2026","journal-title":"Expert Syst Appl"},{"key":"10.1016\/j.mri.2026.110735_bb0125","series-title":"Motion compensated unsupervised deep learning for 5d MRI","author":"Kettelkamp","year":"2023"},{"key":"10.1016\/j.mri.2026.110735_bb0130","doi-asserted-by":"crossref","first-page":"1257","DOI":"10.1002\/mrm.21435","article-title":"Non-cartesian data reconstruction using GRAPPA operator gridding (GROG)","volume":"58","author":"Seiberlich","year":"2007","journal-title":"Magn Reson Med"},{"key":"10.1016\/j.mri.2026.110735_bb0135","doi-asserted-by":"crossref","first-page":"930","DOI":"10.1002\/mrm.21565","article-title":"Self-calibrating GRAPPA operator gridding for radial and spiral trajectories","volume":"59","author":"Seiberlich","year":"2008","journal-title":"Magn Reson Med"},{"key":"10.1016\/j.mri.2026.110735_bb0140","doi-asserted-by":"crossref","first-page":"682","DOI":"10.1002\/(SICI)1522-2594(200005)43:5<682::AID-MRM10>3.0.CO;2-G","article-title":"Adaptive reconstruction of phased array MR imagery","volume":"43","author":"Walsh","year":"2000","journal-title":"Magn Reson Med"},{"key":"10.1016\/j.mri.2026.110735_bb0145","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1002\/cmr.b.20081","article-title":"PULSAR: a Matlab toolbox for parallel magnetic resonance imaging using array coils and multiple channel receivers","volume":"31","author":"Ji","year":"2007","journal-title":"Concepts Magn Reson B Magn Reson Eng"},{"key":"10.1016\/j.mri.2026.110735_bb0150","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1002\/cmr.a.20160","article-title":"A graphical generalized implementation of SENSE reconstruction using Matlab","volume":"36","author":"Omer","year":"2010","journal-title":"Concepts in Magnetic Resonance Part A"},{"key":"10.1016\/j.mri.2026.110735_bb0155","series-title":"MRI from picture to proton","author":"McRobbie","year":"2017"},{"key":"10.1016\/j.mri.2026.110735_bb0160","doi-asserted-by":"crossref","first-page":"1125","DOI":"10.1002\/mrm.25240","article-title":"Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components","volume":"73","author":"Otazo","year":"2015","journal-title":"Magn Reson Med"},{"key":"10.1016\/j.mri.2026.110735_bb0165","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1186\/s13014-019-1279-z","article-title":"A novel amplitude binning strategy to handle irregular breathing during 4DMRI acquisition: improved imaging for radiotherapy purposes","volume":"14","author":"van Kesteren","year":"2019","journal-title":"Radiat Oncol"},{"key":"10.1016\/j.mri.2026.110735_bb0170","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1109\/TCS.1977.1084284","article-title":"Generalized sampling expansion","volume":"24","author":"Papoulis","year":"1977","journal-title":"IEEE Trans Circuits Syst"},{"key":"10.1016\/j.mri.2026.110735_bb0175","series-title":"\u201csingle-spoke motion-compensated dynamic 3D MRI reconstruction via neural representation,\u201d in medical image computing and computer assisted intervention \u2013 MICCAI 2025, Cham","first-page":"513","author":"Chen","year":"2026"},{"key":"10.1016\/j.mri.2026.110735_bb0180","article-title":"A dynamic reconstruction and motion estimation framework for cardiorespiratory motion-resolved real-time volumetric MR imaging (DREME-MR)","volume":"70","author":"Shao","year":"2025","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.mri.2026.110735_bb0185","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s00723-017-0943-4","article-title":"Accelerating MRI using GROG gridding followed by ESPIRiT for non-cartesian trajectories","volume":"49","author":"Aslam","year":"2018","journal-title":"Appl Magn Reson"},{"key":"10.1016\/j.mri.2026.110735_bb0190","doi-asserted-by":"crossref","DOI":"10.1016\/j.jmr.2022.107175","article-title":"GPU accelerated cartesian GRAPPA reconstruction using CUDA","volume":"337","author":"Inam","year":"2022","journal-title":"J Magn Reson"},{"key":"10.1016\/j.mri.2026.110735_bb0195","series-title":"Enhancing MRI reconstruction efficiency through multi-GPU parallelization","author":"L\u00f3pez Ales","year":"2023"},{"key":"10.1016\/j.mri.2026.110735_bb0200","first-page":"1","article-title":"Compressed SVD-based L+ S model to reconstruct undersampled dynamic MRI data using parallel architecture","author":"Shafique","year":"2023","journal-title":"Magn Reson Mater Phy"},{"key":"10.1016\/j.mri.2026.110735_bb0205","doi-asserted-by":"crossref","first-page":"196","DOI":"10.21037\/qims.2018.03.07","article-title":"A survey of GPU-based acceleration techniques in MRI reconstructions","volume":"8","author":"Wang","year":"2018","journal-title":"Quant Imaging Med Surg"},{"key":"10.1016\/j.mri.2026.110735_bb0210","doi-asserted-by":"crossref","first-page":"977","DOI":"10.1007\/s00723-019-01127-7","article-title":"Golden-angle radial sparse parallel MR image reconstruction using SC-GROG followed by iterative soft thresholding","volume":"50","author":"Shahzadi","year":"2019","journal-title":"Appl Magn Reson"}],"container-title":["Magnetic Resonance Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0730725X26001281?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0730725X26001281?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T21:36:46Z","timestamp":1785965806000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0730725X26001281"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":42,"alternative-id":["S0730725X26001281"],"URL":"https:\/\/doi.org\/10.1016\/j.mri.2026.110735","relation":{},"ISSN":["0730-725X"],"issn-type":[{"value":"0730-725X","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Enhanced respiratory motion compensation in free-breathing dynamic contrast-enhanced MRI with GROG-facilitated bunch phase encoding and Golden angle radial sampling","name":"articletitle","label":"Article Title"},{"value":"Magnetic Resonance Imaging","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.mri.2026.110735","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110735"}}