000138386 001__ 138386 000138386 005__ 20240321220426.0 000138386 0247_ $$2doi$$a10.1088/0031-9155/61/5/R32 000138386 0247_ $$2pmid$$apmid:26864183 000138386 0247_ $$2pmc$$apmc:PMC4930872 000138386 0247_ $$2ISSN$$a0031-9155 000138386 0247_ $$2ISSN$$a1361-6560 000138386 0247_ $$2altmetric$$aaltmetric:5613901 000138386 037__ $$aDZNE-2020-04708 000138386 041__ $$aEnglish 000138386 082__ $$a530 000138386 1001_ $$0P:(DE-HGF)0$$aGodenschweger, F.$$b0$$eCorresponding author 000138386 245__ $$aMotion correction in MRI of the brain. 000138386 260__ $$aBristol$$bIOP Publ.$$c2016 000138386 264_1 $$2Crossref$$3online$$bIOP Publishing$$c2016-02-11 000138386 264_1 $$2Crossref$$3print$$bIOP Publishing$$c2016-03-07 000138386 3367_ $$2DRIVER$$aarticle 000138386 3367_ $$2DataCite$$aOutput Types/Journal article 000138386 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1709719088_11500$$xReview Article 000138386 3367_ $$2BibTeX$$aARTICLE 000138386 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000138386 3367_ $$00$$2EndNote$$aJournal Article 000138386 520__ $$aSubject motion in MRI is a relevant problem in the daily clinical routine as well as in scientific studies. Since the beginning of clinical use of MRI, many research groups have developed methods to suppress or correct motion artefacts. This review focuses on rigid body motion correction of head and brain MRI and its application in diagnosis and research. It explains the sources and types of motion and related artefacts, classifies and describes existing techniques for motion detection, compensation and correction and lists established and experimental approaches. Retrospective motion correction modifies the MR image data during the reconstruction, while prospective motion correction performs an adaptive update of the data acquisition. Differences, benefits and drawbacks of different motion correction methods are discussed. 000138386 536__ $$0G:(DE-HGF)POF3-344$$a344 - Clinical and Health Care Research (POF3-344)$$cPOF3-344$$fPOF III$$x0 000138386 542__ $$2Crossref$$i2016-02-11$$uhttp://iopscience.iop.org/info/page/text-and-data-mining 000138386 542__ $$2Crossref$$i2016-02-11$$uhttp://iopscience.iop.org/page/copyright 000138386 588__ $$aDataset connected to CrossRef, PubMed, 000138386 650_2 $$2MeSH$$aArtifacts 000138386 650_2 $$2MeSH$$aBrain: anatomy & histology 000138386 650_2 $$2MeSH$$aHead Movements: physiology 000138386 650_2 $$2MeSH$$aHumans 000138386 650_2 $$2MeSH$$aImage Processing, Computer-Assisted: standards 000138386 650_2 $$2MeSH$$aMagnetic Resonance Imaging: methods 000138386 650_2 $$2MeSH$$aMagnetic Resonance Imaging: standards 000138386 650_2 $$2MeSH$$aSignal-To-Noise Ratio 000138386 7001_ $$aKägebein, U.$$b1 000138386 7001_ $$aStucht, D.$$b2 000138386 7001_ $$aYarach, U.$$b3 000138386 7001_ $$aSciarra, A.$$b4 000138386 7001_ $$0P:(DE-HGF)0$$aYakupov, R.$$b5 000138386 7001_ $$aLüsebrink, F.$$b6 000138386 7001_ $$0P:(DE-2719)2810420$$aSchulze, P.$$b7$$udzne 000138386 7001_ $$0P:(DE-2719)2810706$$aSpeck, O.$$b8$$eLast author$$udzne 000138386 77318 $$2Crossref$$3journal-article$$a10.1088/0031-9155/61/5/r32$$b : IOP Publishing, 2016-02-11$$n5$$pR32-R56$$tPhysics in Medicine and Biology$$v61$$x0031-9155$$y2016 000138386 773__ $$0PERI:(DE-600)1473501-5$$a10.1088/0031-9155/61/5/R32$$gVol. 61, no. 5, p. 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