{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,26]],"date-time":"2026-04-26T08:27:57Z","timestamp":1777192077369,"version":"3.51.4"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,3,5]],"date-time":"2024-03-05T00:00:00Z","timestamp":1709596800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,3,5]],"date-time":"2024-03-05T00:00:00Z","timestamp":1709596800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100017607","name":"Shenzhen Fundamental Research Program","doi-asserted-by":"publisher","award":["JCYJ20210324103014037"],"award-info":[{"award-number":["JCYJ20210324103014037"]}],"id":[{"id":"10.13039\/501100017607","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Nanjing Science and Technology Innovation Project Research Foundation for Returned Overseas Students"},{"name":"Nanjing Medical University Science and Technology Development Project","award":["NMUB20220061"],"award-info":[{"award-number":["NMUB20220061"]}]},{"name":"Natural science foundation of jiangsu province","award":["BK20230155"],"award-info":[{"award-number":["BK20230155"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>MULTIPLEX is a single-scan three-dimensional multi-parametric MRI technique that provides 1\u00a0mm isotropic T1-, T2*-, proton density- and susceptibility-weighted images and the corresponding quantitative maps. This study aimed to investigate its feasibility of clinical application in Parkinson\u2019s disease (PD).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>27 PD patients and 23 healthy control (HC) were recruited and underwent a MULTIPLEX scanning. All image reconstruction and processing were automatically performed with in-house C\u2009+\u2009+\u2009programs on the Automatic Differentiation using Expression Template platform. According to the HybraPD atlas consisting of 12 human brain subcortical nuclei, the region-of-interest (ROI) based analysis was conducted to extract quantitative parameters, then identify PD-related abnormalities from the T1, T2* and proton density maps and quantitative susceptibility mapping (QSM), by comparing patients and HCs.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The ROI-based analysis revealed significantly decreased mean T1 values in substantia nigra pars compacta and habenular nuclei, mean T2* value in subthalamic nucleus and increased mean QSM value in subthalamic nucleus in PD patients, compared to HCs (all p values\u2009&lt;\u20090.05 after FDR correction). The receiver operating characteristic analysis showed all these four quantitative parameters significantly contributed to PD diagnosis (all p values\u2009&lt;\u20090.01 after FDR correction). Furthermore, the two quantitative parameters in subthalamic nucleus showed hemicerebral differences in regard to the clinically dominant side among PD patients.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>MULTIPLEX might be feasible for clinical application to assist in PD diagnosis and provide possible pathological information of PD patients\u2019 subcortical nucleus and dopaminergic midbrain regions.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12880-024-01229-0","type":"journal-article","created":{"date-parts":[[2024,3,5]],"date-time":"2024-03-05T16:09:34Z","timestamp":1709654974000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A rapid multi-parametric quantitative MR imaging method to assess Parkinson\u2019s disease: a feasibility study"],"prefix":"10.1186","volume":"24","author":[{"given":"Min","family":"Duan","sequence":"first","affiliation":[]},{"given":"Rongrong","family":"Pan","sequence":"additional","affiliation":[]},{"given":"Qing","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Xinying","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Hai","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Jianmin","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Yamei","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Lindong","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Youyong","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Tong","family":"Fu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,3,5]]},"reference":[{"key":"1229_CR1","doi-asserted-by":"publisher","first-page":"896","DOI":"10.1016\/S0140-6736(14)61393-3","volume":"386","author":"LV Kalia","year":"2015","unstructured":"Kalia LV, Lang AE. Parkinson\u2019s disease. Lancet. 2015;386:896\u2013912.","journal-title":"Lancet"},{"key":"1229_CR2","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.cca.2021.08.009","volume":"522","author":"S Latif","year":"2021","unstructured":"Latif S, Jahangeer M, Maknoon Razia D, Ashiq M, Ghaffar A, Akram M, El Allam A, Bouyahya A, Garipova L, Ali Shariati M, Thiruvengadam M. Azam Ansari M. Dopamine in Parkinson\u2019s disease. Clin Chim Acta. 2021;522:114\u201326.","journal-title":"Clin Chim Acta"},{"key":"1229_CR3","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1002\/ana.21995","volume":"67","author":"H-C Cheng","year":"2010","unstructured":"Cheng H-C, Ulane CM, Burke RE. Clinical progression in parkinson disease and the neurobiology of axons. Ann Neurol. 2010;67:715\u201325.","journal-title":"Ann Neurol"},{"key":"1229_CR4","doi-asserted-by":"publisher","first-page":"1310","DOI":"10.1038\/s41380-021-01394-6","volume":"27","author":"P Lindholm","year":"2022","unstructured":"Lindholm P, Saarma M. Cerebral dopamine neurotrophic factor protects and repairs dopamine neurons by novel mechanism. Mol Psychiatry. 2022;27:1310\u201321.","journal-title":"Mol Psychiatry"},{"key":"1229_CR5","doi-asserted-by":"publisher","first-page":"105461","DOI":"10.1016\/j.neuint.2022.105461","volume":"162","author":"P Sivakumar","year":"2023","unstructured":"Sivakumar P, Nagashanmugam KB, Priyatharshni S, Lavanya R, Prabhu N, Ponnusamy S. Review on the interactions between dopamine metabolites and \u03b1-synuclein in causing Parkinson\u2019 s disease. Neurochem Int. 2023;162:105461.","journal-title":"Neurochem Int"},{"key":"1229_CR6","doi-asserted-by":"publisher","first-page":"4399","DOI":"10.1002\/hbm.25556","volume":"42","author":"B Yu","year":"2021","unstructured":"Yu B, Li L, Guan X, Xu X, Liu X, Yang Q, Wei H, Zuo C, Zhang Y. HybraPD atlas: towards precise subcortical nuclei segmentation using multimodality medical images in patients with Parkinson disease. Hum Brain Mapp. 2021;42:4399\u2013421.","journal-title":"Hum Brain Mapp"},{"key":"1229_CR7","doi-asserted-by":"publisher","first-page":"786","DOI":"10.1111\/jon.12769","volume":"30","author":"T Fu","year":"2020","unstructured":"Fu T, Klietz M, N\u00f6sel P, Wegner F, Schrader C, H\u00f6glinger GU, Dadak M, Mahmoudi N, Lanfermann H, Ding XQ. Brain morphological alterations are detected in early-stage Parkinson\u2019s disease with MRI morphometry. J Neuroimaging. 2020;30:786\u201392.","journal-title":"J Neuroimaging"},{"key":"1229_CR8","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/s00062-016-0523-2","volume":"28","author":"K Egger","year":"2018","unstructured":"Egger K, Amtage F, Yang S, Obmann M, Schwarzwald R, K\u00f6stering L, Mader I, Koenigsdorf J, Weiller C, Kaller CP, Urbach H. T2* relaxometry in patients with Parkinson\u2019s disease: use of an automated atlas-based approach. Clin Neuroradiol. 2018;28:63\u20137.","journal-title":"Clin Neuroradiol"},{"key":"1229_CR9","doi-asserted-by":"publisher","first-page":"763331","DOI":"10.3389\/fnagi.2021.763331","volume":"13","author":"M Klietz","year":"2021","unstructured":"Klietz M, Elaman MH, Mahmoudi N, N\u00f6sel P, Ahlswede M, Wegner F, H\u00f6glinger GU, Lanfermann H, Ding XQ. Cerebral microstructural alterations in patients with early Parkinson\u2019s disease detected with quantitative magnetic resonance measurements. Front Aging Neurosci. 2021;13:763331.","journal-title":"Front Aging Neurosci"},{"key":"1229_CR10","doi-asserted-by":"publisher","first-page":"4407","DOI":"10.1002\/hbm.22928","volume":"36","author":"N He","year":"2015","unstructured":"He N, Ling H, Ding B, Huang J, Zhang Y, Zhang Z, Liu C, Chen K, Yan F. Region-specific disturbed iron distribution in early idiopathic Parkinson\u2019s disease measured by quantitative susceptibility mapping. Hum Brain Mapp. 2015;36:4407\u201320.","journal-title":"Hum Brain Mapp"},{"key":"1229_CR11","doi-asserted-by":"publisher","first-page":"248","DOI":"10.3389\/fneur.2020.00248","volume":"11","author":"P Liu","year":"2020","unstructured":"Liu P, Wang H, Zheng S, Zhang F, Zhang X. Parkinson\u2019s disease diagnosis using neostriatum radiomic features based on T2-weighted magnetic resonance imaging. Front Neurol. 2020;11:248.","journal-title":"Front Neurol"},{"key":"1229_CR12","doi-asserted-by":"publisher","first-page":"6992","DOI":"10.1007\/s00330-022-08790-8","volume":"32","author":"JJ Kang","year":"2022","unstructured":"Kang JJ, Chen Y, Xu GD, Bao SL, Wang J, Ge M, Shen LH, Jia ZZ. Combining quantitative susceptibility mapping to radiomics in diagnosing Parkinson\u2019s disease and assessing cognitive impairment. Eur Radiol. 2022;32:6992\u20137003.","journal-title":"Eur Radiol"},{"key":"1229_CR13","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1016\/j.neuroimage.2010.03.005","volume":"51","author":"S Baudrexel","year":"2010","unstructured":"Baudrexel S, N\u00fcrnberger L, R\u00fcb U, Seifried C, Klein JC, Deller T, Steinmetz H. Deichmann. Quantitative mapping of T1 and T2* discloses nigral and brainstem pathology in early Parkinson\u2019s disease. NeuroImage. 2010;51:512\u201320.","journal-title":"NeuroImage"},{"key":"1229_CR14","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1002\/mrm.28999","volume":"87","author":"Y Ye","year":"2022","unstructured":"Ye Y, Lyu J, Hu Y, Zhang Z, Xu J, Zhang W. MULTI-parametric MR imaging with fLEXible design (MULTIPLEX). Magn Reson Med. 2022;87:658\u201373.","journal-title":"Magn Reson Med"},{"key":"1229_CR15","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.mri.2019.09.006","volume":"65","author":"EM Haacke","year":"2020","unstructured":"Haacke EM, Chen Y, Utriainen D, Wu B, Wang Y, Xia S, He N, Zhang C, Wang X, Lagana MM, Luo Y, Fatemi A, Liu S, Gharabaghi S, Wu D, Sethi SK, Huang F, Sun T, Qu F, Yadav BK, Ma X, Bai Y, Wang M, Cheng J, Yan F. STrategically acquired gradient echo (STAGE) imaging, part III: technical advances and clinical applications of a rapid multi-contrast multi-parametric brain imaging method. Magn Reson Imaging. 2020;65:15\u201326.","journal-title":"Magn Reson Imaging"},{"key":"1229_CR16","doi-asserted-by":"publisher","first-page":"1591","DOI":"10.1002\/mds.26424","volume":"30","author":"RB Postuma","year":"2015","unstructured":"Postuma RB, Berg D, Stern M, Poewe W, Olanow CW, Oertel W, Obeso J, Marek K, Litvan I, Lang AE, Halliday G, Goetz CG, Gasser T, Dubois B, Chan P, Bloem BR, Adler CH, Deuschl G. MDS clinical diagnostic criteria for Parkinson\u2019s disease. Mov Disord. 2015;30:1591\u2013601.","journal-title":"Mov Disord"},{"key":"1229_CR17","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1212\/WNL.17.5.427","volume":"17","author":"MM Hoehn","year":"1967","unstructured":"Hoehn MM, Yahr MD. Parkinsonism: onset, progression, and mortality. Neurology. 1967;17:427\u20137.","journal-title":"Neurology"},{"key":"1229_CR18","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1002\/mds.21198","volume":"22","author":"CG Goetz","year":"2007","unstructured":"Goetz CG, Fahn S, Martinez-Martin P, Poewe W, Sampaio C, Stebbins GT, Stern MB, Tilley BC, Dodel R, Dubois B, Holloway R, Jankovic J, Kulisevsky J, Lang AE, Lees A, Leurgans S, LeWitt PA, Nyenhuis D, Olanow CW, Rascol O, Schrag A, Teresi JA, Van Hilten JJ, LaPelle N. Movement disorder society-sponsored revision of the unified Parkinson\u2019s disease rating scale (MDS-UPDRS): process, format, and clinimetric testing plan. Mov Disord. 2007;22:41\u20137.","journal-title":"Mov Disord"},{"key":"1229_CR19","doi-asserted-by":"publisher","first-page":"2129","DOI":"10.1002\/mds.22340","volume":"23","author":"CG Goetz","year":"2008","unstructured":"Goetz CG, Tilley BC, Shaftman SR, Stebbins GT, Fahn S, Martinez-Martin P, Poewe W, Sampaio C, Stern MB, Dodel R, Dubois B, Holloway R, Jankovic J, Kulisevsky J, Lang AE, Lees A, Leurgans S, LeWitt PA, Nyenhuis D, Olanow CW, Rascol O, Schrag A, Teresi JA, van Hilten JJ, LaPelle N. Movement Disorder Society UPDRS Revision Task Force. Movement disorder society-sponsored revision of the unified Parkinson\u2019s disease rating scale (MDS-UPDRS): scale presentation and clinimetric testing results. Mov Disord. 2008;23:2129\u201370.","journal-title":"Mov Disord"},{"key":"1229_CR20","doi-asserted-by":"publisher","first-page":"2743","DOI":"10.4103\/1673-5374.339493","volume":"17","author":"XJ Guan","year":"2022","unstructured":"Guan XJ, Guo T, Zhou C, Gao T, Wu JJ, Han V, Cao S, Wei HJ, Zhang YY, Xuan M, Gu QQ, Huang PY, Liu CL, Pu JL, Zhang BR, Cui F, Xu XJ, Zhang MM. A multiple-tissue-specific magnetic resonance imaging model for diagnosing Parkinson\u2019s disease: a brain radiomics study. Neural Regen Res. 2022;17:2743\u20139.","journal-title":"Neural Regen Res"},{"key":"1229_CR21","doi-asserted-by":"crossref","unstructured":"Barbagallo G, Sierra-Pe\u00f1a M, Nemmi F, Traon AP, Meissner WG, Rascol O, P\u00e9ran P. Multimodal MRI assessment of nigro-striatal pathway in multiple system atrophy and parkinson disease. Mov Disord. 2016;31:325\u201334.","DOI":"10.1002\/mds.26471"},{"key":"1229_CR22","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.neuroimage.2017.10.052","volume":"182","author":"M Cercignani","year":"2018","unstructured":"Cercignani M, Bouyagoub S. Brain microstructure by multi-modal MRI: is the whole greater than the sum of its parts? NeuroImage. 2018;182:117\u201327.","journal-title":"NeuroImage"},{"key":"1229_CR23","doi-asserted-by":"publisher","first-page":"4504","DOI":"10.1007\/s00330-020-07515-z","volume":"31","author":"A Pirastru","year":"2021","unstructured":"Pirastru A, Chen Y, Pelizzari L, Baglio F, Clerici M, Haacke EM, Lagan\u00e0 MM. Quantitative MRI using STrategically acquired gradient Echo (STAGE): optimization for 1.5 T scanners and T1 relaxation map validation. Eur Radiol. 2021;31:4504\u201313.","journal-title":"Eur Radiol"},{"key":"1229_CR24","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1002\/mrm.20605","volume":"54","author":"GJ Stanisz","year":"2005","unstructured":"Stanisz GJ, Odrobina EE, Pun J, Escaravage M, Graham SJ, Bronskill MJ, Henkelman RM. T1, T2 relaxation and magnetization transfer in tissue at 3T. Magn Reson Med. 2005;54:507\u201312.","journal-title":"Magn Reson Med"},{"key":"1229_CR25","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/0304-3940(86)90202-8","volume":"67","author":"P Sanderson","year":"1986","unstructured":"Sanderson P, Mavoungou R, Albe-Fessard D. Changes in substantia nigra pars reticulata activity following lesions of the substantia nigra pars compacta. Neurosci Lett. 1986;67:25\u201330.","journal-title":"Neurosci Lett"},{"key":"1229_CR26","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1016\/j.brainresbull.2014.11.006","volume":"110","author":"XF Luo","year":"2015","unstructured":"Luo XF, Zhang BL, Li JC, Yang YY, Sun YF, Zhao H. Lateral habenula as a link between dopaminergic and serotonergic systems contributes to depressive symptoms in Parkinson\u2019s disease. Brain Res Bull. 2015;110:40\u20136.","journal-title":"Brain Res Bull"},{"key":"1229_CR27","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1038\/s41583-020-0292-4","volume":"21","author":"H Hu","year":"2020","unstructured":"Hu H, Cui Y, Yang Y. Circuits and functions of the lateral habenula in health and in disease. Nat Rev Neurosci. 2020;21:277\u201395.","journal-title":"Nat Rev Neurosci"},{"key":"1229_CR28","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1002\/nbm.1553","volume":"24","author":"TD Farr","year":"2011","unstructured":"Farr TD, Seehafer JU, Nelles M, Hoehn M. Challenges towards MR imaging of the peripheral inflammatory response in the subacute and chronic stages of transient focal ischemia. NMR Biomed. 2011;24:35\u201345.","journal-title":"NMR Biomed"},{"key":"1229_CR29","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.jns.2005.10.013","volume":"241","author":"H Aoe","year":"2006","unstructured":"Aoe H, Takeda Y, Kawahara H, Tanaka A, Morita K. Clinical significance of T1-weighted MR images following transient cerebral ischemia. J Neurol Sci. 2006;241:19\u201324.","journal-title":"J Neurol Sci"},{"key":"1229_CR30","doi-asserted-by":"crossref","unstructured":"Lizarraga KJ, Jagid JR, Luca CC. Comparative effects of unilateral and bilateral subthalamic nucleus deep brain stimulation on gait kinematics in Parkinson\u2019s disease: a randomized, blinded study. J Neurol. 2016;263:1652\u20136.","DOI":"10.1007\/s00415-016-8191-3"},{"key":"1229_CR31","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1038\/s41583-021-00542-9","volume":"23","author":"J Blesa","year":"2022","unstructured":"Blesa J, Foffani G, Dehay B, Bezard E, Obeso JA. Motor and non-motor circuit disturbances in early Parkinson disease: which happens first? Nat Rev Neurosci. 2022;23:115\u201328.","journal-title":"Nat Rev Neurosci"},{"key":"1229_CR32","doi-asserted-by":"publisher","first-page":"117810","DOI":"10.1016\/j.neuroimage.2021.117810","volume":"230","author":"N He","year":"2021","unstructured":"He N, Ghassaban K, Huang P, Jokar M, Wang Y, Cheng Z, Jin Z, Li Y, Sethi SK, He Y, Chen Y, Gharabaghi S, Chen S, Yan F, Haacke EM. Imaging iron and neuromelanin simultaneously using a single 3D gradient echo magnetization transfer sequence: combining neuromelanin, iron and the nigrosome-1 sign as complementary imaging biomarkers in early stage Parkinson\u2019s disease. NeuroImage. 2021;230:117810.","journal-title":"NeuroImage"},{"key":"1229_CR33","doi-asserted-by":"publisher","first-page":"953","DOI":"10.1007\/s00702-012-0775-1","volume":"119","author":"P Riederer","year":"2012","unstructured":"Riederer P, Sian-H\u00fclsmann J. The significance of neuronal lateralisation in Parkinson\u2019s disease. J Neural Transm (Vienna). 2012;119:953\u201362.","journal-title":"J Neural Transm (Vienna)"},{"key":"1229_CR34","doi-asserted-by":"publisher","first-page":"1941","DOI":"10.1016\/j.clinph.2014.12.007","volume":"126","author":"K Kato","year":"2015","unstructured":"Kato K, Yokochi F, Taniguchi M, Okiyama R, Kawasaki T, Kimura K, Ushiba J. Bilateral coherence between motor cortices and subthalamic nuclei in patients with Parkinson\u2019s disease. Clin Neurophysiol. 2015;126:1941\u201350.","journal-title":"Clin Neurophysiol"},{"key":"1229_CR35","doi-asserted-by":"publisher","first-page":"631210","DOI":"10.3389\/fneur.2021.631210","volume":"12","author":"X Fu","year":"2021","unstructured":"Fu X, Deng W, Cui X, Zhou X, Song W, Pan M, Chi X, Xu J, Jiang Y, Wang Q, Xu Y. Time-specific pattern of iron deposition in different regions in Parkinson\u2019s disease measured by quantitative susceptibility mapping. Front Neurol. 2021;12:631210.","journal-title":"Front Neurol"},{"key":"1229_CR36","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.expneurol.2017.10.002","volume":"298","author":"J Blesa","year":"2017","unstructured":"Blesa J, Trigo-Damas I, Dileone M, Del Rey NL, Hernandez LF, Obeso JA. Compensatory mechanisms in Parkinson\u2019s disease: circuits adaptations and role in disease modification. Exp Neurol. 2017;298:148\u201361.","journal-title":"Exp Neurol"},{"key":"1229_CR37","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1212\/WNL.0b013e318198e0e9","volume":"72","author":"J Brotchie","year":"2009","unstructured":"Brotchie J, Fitzer-Attas C. Mechanisms compensating for dopamine loss in early parkinson disease. Neurology. 2009;72:32\u20138.","journal-title":"Neurology"},{"key":"1229_CR38","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1148\/radiol.211519","volume":"305","author":"H Jara","year":"2022","unstructured":"Jara H, Sakai O, Farrher E, Oros-Peusquens AM, Shah NJ, Alsop DC, Keenan KE. Primary multiparametric quantitative brain MRI: state-of-the-art relaxometric and Proton Density Mapping techniques. Radiology. 2022;305:5\u201318.","journal-title":"Radiology"},{"key":"1229_CR39","doi-asserted-by":"publisher","first-page":"3423","DOI":"10.1093\/brain\/awq212","volume":"133","author":"P P\u00e9ran","year":"2010","unstructured":"P\u00e9ran P, Cherubini A, Assogna F, Piras F, Quattrocchi C, Peppe A, Celsis P, Rascol O, D\u00e9monet JF, Stefani A, Pierantozzi M, Pontieri FE, Caltagirone C, Spalletta G, Sabatini U. Magnetic resonance imaging markers of Parkinson\u2019s disease nigrostriatal signature. Brain. 2010;133:3423\u201333.","journal-title":"Brain"},{"key":"1229_CR40","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1016\/S1474-4422(21)00030-2","volume":"20","author":"E Tolosa","year":"2021","unstructured":"Tolosa E, Garrido A, Scholz SW, Poewe W. Challenges in the diagnosis of Parkinson\u2019s disease. Lancet Neurol. 2021;20:385\u201397.","journal-title":"Lancet Neurol"},{"key":"1229_CR41","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.parkreldis.2019.10.002","volume":"73","author":"SG Ryman","year":"2020","unstructured":"Ryman SG, Poston KL. MRI biomarkers of motor and non-motor symptoms in Parkinson\u2019s disease. Parkinsonism Relat Disord. 2020;73:85\u201393.","journal-title":"Parkinsonism Relat Disord"},{"key":"1229_CR42","doi-asserted-by":"publisher","first-page":"e4529","DOI":"10.1002\/nbm.4529","volume":"34","author":"Y Ye","year":"2021","unstructured":"Ye Y, Lyu J, Sun W, Lan L, Wang L, Zhang W, Xu H. A multi-dimensional integration (MDI) strategy for MR T2 * mapping. NMR Biomed. 2021;34:e4529.","journal-title":"NMR Biomed"},{"key":"1229_CR43","doi-asserted-by":"publisher","first-page":"1015","DOI":"10.1002\/jmri.27078","volume":"53","author":"DJ Lin","year":"2021","unstructured":"Lin DJ, Johnson PM, Knoll F, Lui YW. Artificial Intelligence for MR Image Reconstruction: an overview for clinicians. J Magn Reson Imaging. 2021;53:1015\u201328.","journal-title":"J Magn Reson Imaging"},{"key":"1229_CR44","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1109\/TMI.2018.2865356","volume":"38","author":"HK Aggarwal","year":"2019","unstructured":"Aggarwal HK, Mani MP, Jacob M, MoDL. Model-based deep learning architecture for inverse problems. IEEE Trans Med Imaging. 2019;38:394\u2013405.","journal-title":"IEEE Trans Med Imaging"},{"key":"1229_CR45","doi-asserted-by":"publisher","first-page":"1395","DOI":"10.3390\/diagnostics13081395","volume":"13","author":"M Diwakar","year":"2023","unstructured":"Diwakar M, Singh P, Singh R, Sisodia D, Singh V, Maurya A, Kadry S, Sevcik L. Multimodality Medical Image Fusion using clustered Dictionary Learning in Non-subsampled Shearlet transform. Diagnostics (Basel). 2023;13:1395.","journal-title":"Diagnostics (Basel)"},{"key":"1229_CR46","doi-asserted-by":"publisher","first-page":"820","DOI":"10.3390\/diagnostics13050820","volume":"13","author":"M Diwakar","year":"2023","unstructured":"Diwakar M, Singh P, Ravi V, Maurya A. A non-conventional review on Multi-modality-based Medical Image Fusion. Diagnostics (Basel). 2023;13:820.","journal-title":"Diagnostics (Basel)"},{"key":"1229_CR47","doi-asserted-by":"crossref","unstructured":"Yang Y, Cao SH, Wan WG, HuangSY. Multi-modal medical image super-resolution fusion based on detail enhancement and weighted local energy deviation. Biomed Signal Process Control 2023; Article 104387.","DOI":"10.1016\/j.bspc.2022.104387"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-024-01229-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12880-024-01229-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-024-01229-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,5]],"date-time":"2024-03-05T17:02:23Z","timestamp":1709658143000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedimaging.biomedcentral.com\/articles\/10.1186\/s12880-024-01229-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,5]]},"references-count":47,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["1229"],"URL":"https:\/\/doi.org\/10.1186\/s12880-024-01229-0","relation":{},"ISSN":["1471-2342"],"issn-type":[{"value":"1471-2342","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,5]]},"assertion":[{"value":"19 October 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 February 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 March 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the Human Research Ethics Committee of the Nanjing First Hospital (Number KY20220701-04) and written informed consent was provided by the participants.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"58"}}