{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:15:22Z","timestamp":1761174922925,"version":"build-2065373602"},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100015650","name":"Canon Medical Systems Corporation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100015650","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neuroradiology"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1007\/s00234-025-03776-x","type":"journal-article","created":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T05:24:57Z","timestamp":1758345897000},"page":"2389-2398","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Fast 3D wheel acquisition versus conventional parallel imaging in cerebral magnetic resonance angiography for the evaluation of intracranial aneurysms"],"prefix":"10.1007","volume":"67","author":[{"given":"Satomu","family":"Hanamatsu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazuhiro","family":"Murayama","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoshiharu","family":"Ohno","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aoi","family":"Tahara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Reina","family":"Fujisawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunosuke","family":"Kumazawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomoki","family":"Takahashi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaori","family":"Yamamoto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masato","family":"Ikedo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masanori","family":"Inoue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,9,20]]},"reference":[{"issue":"1","key":"3776_CR1","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1002\/jmri.23639","volume":"36","author":"A Deshmane","year":"2012","unstructured":"Deshmane A, Gulani V, Griswold MA, Seiberlich N (2012) Parallel MR imaging. J Magn Reson Imaging 36(1):55\u201372. https:\/\/doi.org\/10.1002\/jmri.23639","journal-title":"J Magn Reson Imaging"},{"key":"3776_CR2","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.pnmrs.2017.04.002","volume":"101","author":"J Hamilton","year":"2017","unstructured":"Hamilton J, Franson D, Seiberlich N (2017) Recent advances in parallel imaging for MRI. Prog Nucl Magn Reson Spectrosc 101:71\u201395. https:\/\/doi.org\/10.1016\/j.pnmrs.2017.04.002","journal-title":"Prog Nucl Magn Reson Spectrosc"},{"issue":"1056","key":"3776_CR3","doi-asserted-by":"publisher","DOI":"10.1259\/bjr.20150487","volume":"88","author":"ON Jaspan","year":"2015","unstructured":"Jaspan ON, Fleysher R, Lipton ML (2015) Compressed sensing MRI: a review of the clinical literature. Br J Radiol 88(1056):20150487. https:\/\/doi.org\/10.1259\/bjr.20150487","journal-title":"Br J Radiol"},{"issue":"4","key":"3776_CR4","doi-asserted-by":"publisher","first-page":"966","DOI":"10.1002\/jmri.25547","volume":"45","author":"L Feng","year":"2017","unstructured":"Feng L, Benkert T, Block KT, Sodickson DK, Otazo R, Chandarana H (2017) Compressed sensing for body MRI. J Magn Reson Imaging 45(4):966\u2013987. https:\/\/doi.org\/10.1002\/jmri.25547","journal-title":"J Magn Reson Imaging"},{"key":"3776_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2020.109501","volume":"135","author":"H Ikeda","year":"2021","unstructured":"Ikeda H, Ohno Y, Murayama K, Yamamoto K, Iwase A, Fukuba T, Toyama H (2021) Compressed sensing and parallel imaging accelerated T2 FSE sequence for head and neck MR imaging: comparison of its utility in routine clinical practice. Eur J Radiol 135:109501. https:\/\/doi.org\/10.1016\/j.ejrad.2020.109501","journal-title":"Eur J Radiol"},{"key":"3776_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2020.109430","volume":"134","author":"T Ueda","year":"2021","unstructured":"Ueda T, Ohno Y, Yamamoto K, Iwase A, Fukuba T, Hanamatsu S, Obama Y, Ikeda H, Ikedo M, Yui M, Murayama K, Toyama H (2021) Compressed sensing and deep learning reconstruction for women\u2019s pelvic MRI denoising: utility for improving image quality and examination time in routine clinical practice. Eur J Radiol 134:109430. https:\/\/doi.org\/10.1016\/j.ejrad.2020.109430","journal-title":"Eur J Radiol"},{"issue":"10","key":"3776_CR7","doi-asserted-by":"publisher","first-page":"6658","DOI":"10.1007\/s00330-022-08877-2","volume":"32","author":"T Matsuyama","year":"2022","unstructured":"Matsuyama T, Ohno Y, Yamamoto K, Ikedo M, Yui M, Furuta M, Fujisawa R, Hanamatsu S, Nagata H, Ueda T, Ikeda H, Takeda S, Iwase A, Fukuba T, Akamatsu H, Hanaoka R, Kato R, Murayama K, Toyama H (2022) Comparison of utility of deep learning reconstruction on 3D MRCPs obtained with three different k-space data acquisitions in patients with IPMN. Eur Radiol 32(10):6658\u20136667. https:\/\/doi.org\/10.1007\/s00330-022-08877-2","journal-title":"Eur Radiol"},{"issue":"5","key":"3776_CR8","doi-asserted-by":"publisher","first-page":"819","DOI":"10.1097\/rct.0000000000001590","volume":"48","author":"G Sasaki","year":"2024","unstructured":"Sasaki G, Uetani H, Nakaura T, Nakahara K, Morita K, Nagayama Y, Kidoh M, Iwashita K, Yoshida N, Hokamura M, Yamashita Y, Nakajima M, Ueda M, Hirai T (2024) Optimizing high-resolution MR angiography: the synergistic effects of 3D wheel sampling and deep learning-based reconstruction. J Comput Assist Tomogr 48(5):819\u2013825. https:\/\/doi.org\/10.1097\/rct.0000000000001590","journal-title":"J Comput Assist Tomogr"},{"issue":"11","key":"3776_CR9","doi-asserted-by":"publisher","first-page":"1083","DOI":"10.1007\/s00234-017-1905-0","volume":"59","author":"L HaiFeng","year":"2017","unstructured":"HaiFeng L, YongSheng X, YangQin X, Yu D, ShuaiWen W, XingRu L, JunQiang L (2017) Diagnostic value of 3D time-of-flight magnetic resonance angiography for detecting intracranial aneurysm: a meta-analysis. Neuroradiology 59(11):1083\u20131092. https:\/\/doi.org\/10.1007\/s00234-017-1905-0","journal-title":"Neuroradiology"},{"issue":"3","key":"3776_CR10","doi-asserted-by":"publisher","first-page":"454","DOI":"10.3174\/ajnr.A5517","volume":"39","author":"S Toledano-Massiah","year":"2018","unstructured":"Toledano-Massiah S, Sayadi A, de Boer R, Gelderblom J, Mahdjoub R, Gerber S, Zuber M, Zins M, Hodel J (2018) Accuracy of the compressed sensing accelerated 3D-FLAIR sequence for the detection of MS plaques at 3T. AJNR Am J Neuroradiol 39(3):454\u2013458. https:\/\/doi.org\/10.3174\/ajnr.A5517","journal-title":"AJNR Am J Neuroradiol"},{"issue":"1","key":"3776_CR11","doi-asserted-by":"publisher","first-page":"92","DOI":"10.3174\/ajnr.A5905","volume":"40","author":"JE Vranic","year":"2019","unstructured":"Vranic JE, Cross NM, Wang Y, Hippe DS, de Weerdt E, Mossa-Basha M (2019) Compressed sensing-sensitivity encoding (CS-SENSE) accelerated brain imaging: reduced scan time without reduced image quality. AJNR Am J Neuroradiol 40(1):92\u201398. https:\/\/doi.org\/10.3174\/ajnr.A5905","journal-title":"AJNR Am J Neuroradiol"},{"issue":"4","key":"3776_CR12","doi-asserted-by":"publisher","first-page":"1057","DOI":"10.1148\/radiographics.19.4.g99jl281057","volume":"19","author":"AJ Maubon","year":"1999","unstructured":"Maubon AJ, Ferru JM, Berger V, Soulage MC, DeGraef M, Aubas P, Coupeau P, Dumont E, Rouanet JP (1999) Effect of field strength on MR images: comparison of the same subject at 0.5, 1.0, and 1.5 T. Radiographics 19(4):1057\u20131067. https:\/\/doi.org\/10.1148\/radiographics.19.4.g99jl281057","journal-title":"Radiographics"},{"key":"3776_CR13","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1186\/1471-2342-12-30","volume":"12","author":"U Hakulinen","year":"2012","unstructured":"Hakulinen U, Brander A, Ryymin P, \u00d6hman J, Soimakallio S, Helminen M, Dastidar P, Eskola H (2012) Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain. BMC Med Imaging 12:30. https:\/\/doi.org\/10.1186\/1471-2342-12-30","journal-title":"BMC Med Imaging"},{"issue":"2","key":"3776_CR14","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1016\/j.mvr.2010.04.004","volume":"80","author":"MJ Fischer","year":"2010","unstructured":"Fischer MJ, Uchida S, Messlinger K (2010) Measurement of meningeal blood vessel diameter in vivo with a plug-in for ImageJ. Microvasc Res 80(2):258\u2013266. https:\/\/doi.org\/10.1016\/j.mvr.2010.04.004","journal-title":"Microvasc Res"},{"issue":"8","key":"3776_CR15","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1111\/j.1699-0463.1989.tb00464.x","volume":"97","author":"H Svanholm","year":"1989","unstructured":"Svanholm H, Starklint H, Gundersen HJ, Fabricius J, Barlebo H, Olsen S (1989) Reproducibility of histomorphologic diagnoses with special reference to the kappa statistic. APMIS 97(8):689\u2013698. https:\/\/doi.org\/10.1111\/j.1699-0463.1989.tb00464.x","journal-title":"APMIS"},{"issue":"1","key":"3776_CR16","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1097\/JTO.0b013e318200f983","volume":"6","author":"JN Mandrekar","year":"2011","unstructured":"Mandrekar JN (2011) Measures of interrater agreement. J Thorac Oncol 6(1):6\u20137. https:\/\/doi.org\/10.1097\/JTO.0b013e318200f983","journal-title":"J Thorac Oncol"},{"key":"3776_CR17","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1016\/j.mri.2019.08.014","volume":"63","author":"CR Meixner","year":"2019","unstructured":"Meixner CR, Liebig P, Speier P, Forman C, Hensel B, Schmidt M, Saake M, Uder M, Doerfler A, Heidemann RM, Schmitter S, Nagel AM (2019) High resolution time-of-flight MR-angiography at 7 T exploiting VERSE saturation, compressed sensing and segmentation. Magn Reson Imaging 63:193\u2013204. https:\/\/doi.org\/10.1016\/j.mri.2019.08.014","journal-title":"Magn Reson Imaging"},{"issue":"2","key":"3776_CR18","doi-asserted-by":"publisher","first-page":"218","DOI":"10.3174\/ajnr.A4893","volume":"38","author":"DM Mandell","year":"2017","unstructured":"Mandell DM, Mossa-Basha M, Qiao Y, Hess CP, Hui F, Matouk C, Johnson MH, Daemen MJ, Vossough A, Edjlali M, Saloner D, Ansari SA, Wasserman BA, Mikulis DJ (2017) Intracranial vessel wall MRI: principles and expert consensus recommendations of the American society of neuroradiology. AJNR Am J Neuroradiol 38(2):218\u2013229. https:\/\/doi.org\/10.3174\/ajnr.A4893","journal-title":"AJNR Am J Neuroradiol"},{"issue":"3","key":"3776_CR19","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1615\/critrevbiomedeng.2014008058","volume":"41","author":"S Geethanath","year":"2013","unstructured":"Geethanath S, Reddy R, Konar AS, Imam S, Sundaresan R, D RR, Venkatesan R (2013) Compressed sensing MRI: a review. Crit Rev Biomed Eng 41(3):183\u2013204. https:\/\/doi.org\/10.1615\/critrevbiomedeng.2014008058","journal-title":"Crit Rev Biomed Eng"},{"issue":"2","key":"3776_CR20","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1227\/01.Neu.0000316847.64140.81","volume":"63","author":"S Dhar","year":"2008","unstructured":"Dhar S, Tremmel M, Mocco J, Kim M, Yamamoto J, Siddiqui AH, Hopkins LN, Meng H (2008) Morphology parameters for intracranial aneurysm rupture risk assessment. Neurosurgery 63(2):185\u2013196 discussion 196\u2009\u2013\u2009187. https:\/\/doi.org\/10.1227\/01.Neu.0000316847.64140.81","journal-title":"Neurosurgery"},{"issue":"8","key":"3776_CR21","doi-asserted-by":"publisher","first-page":"1413","DOI":"10.3174\/ajnr.A4764","volume":"37","author":"ZQ Huang","year":"2016","unstructured":"Huang ZQ, Meng ZH, Hou ZJ, Huang SQ, Chen JN, Yu H, Feng LJ, Wang QJ, Li PA, Wen ZB (2016) Geometric parameter analysis of ruptured and unruptured aneurysms in patients with symmetric bilateral intracranial aneurysms: a multicenter CT angiography study. AJNR Am J Neuroradiol 37(8):1413\u20131417. https:\/\/doi.org\/10.3174\/ajnr.A4764","journal-title":"AJNR Am J Neuroradiol"},{"issue":"2","key":"3776_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocmr.2024.101069","volume":"26","author":"K Eyre","year":"2024","unstructured":"Eyre K, Rafiee MJ, Leo M, Ma J, Hillier E, Amini N, Pressacco J, Janich MA, Zhu X, Friedrich MG, Chetrit M (2024) Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction. J Cardiovasc Magn Reson 26(2):101069. https:\/\/doi.org\/10.1016\/j.jocmr.2024.101069","journal-title":"J Cardiovasc Magn Reson"},{"key":"3776_CR23","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics13030418","author":"P Fervers","year":"2023","unstructured":"Fervers P, Zaeske C, Rauen P, Iuga AI, Kottlors J, Persigehl T, Sonnabend K, Weiss K, Bratke G (2023) Conventional and deep-learning-based image reconstructions of undersampled K-space data of the lumbar spine using compressed sensing in MRI: a comparative study on 20 subjects. Diagnostics. https:\/\/doi.org\/10.3390\/diagnostics13030418","journal-title":"Diagnostics"}],"container-title":["Neuroradiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00234-025-03776-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00234-025-03776-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00234-025-03776-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T07:26:35Z","timestamp":1761117995000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00234-025-03776-x"}},"subtitle":["Original Article"],"short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":23,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2025,9]]}},"alternative-id":["3776"],"URL":"https:\/\/doi.org\/10.1007\/s00234-025-03776-x","relation":{},"ISSN":["0028-3940","1432-1920"],"issn-type":[{"type":"print","value":"0028-3940"},{"type":"electronic","value":"1432-1920"}],"subject":[],"published":{"date-parts":[[2025,9]]},"assertion":[{"value":"2 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 September 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 September 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study was technically and financially supported by Canon Medical Systems Corporation. The Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University is an endowed chair from Canon Medical Systems Corporation. Y.O. received a research grant from Canon Medical Systems Corporation. K.Y. and M.Ikedo are employees of Canon Medical Systems Corporation. All remaining authors (i.e., authors other than Y.O., K.Y., and M.Ikedo) declare no competing interests. Only S.H. had control over and access to the data used in the study. All the other authors had neither control over nor access to the data.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}