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000138044 0247_ $$2doi$$a10.1371/journal.pone.0133921
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000138044 037__ $$aDZNE-2020-04366
000138044 041__ $$aEnglish
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000138044 1001_ $$0P:(DE-HGF)0$$aStucht, Daniel$$b0$$eCorresponding author
000138044 245__ $$aHighest Resolution In Vivo Human Brain MRI Using Prospective Motion Correction.
000138044 260__ $$aSan Francisco, California, US$$bPLOS$$c2015
000138044 264_1 $$2Crossref$$3online$$bPublic Library of Science (PLoS)$$c2015-07-30
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000138044 520__ $$aHigh field MRI systems, such as 7 Tesla (T) scanners, can deliver higher signal to noise ratio (SNR) than lower field scanners and thus allow for the acquisition of data with higher spatial resolution, which is often demanded by users in the fields of clinical and neuroscientific imaging. However, high resolution scans may require long acquisition times, which in turn increase the discomfort for the subject and the risk of subject motion. Even with a cooperative and trained subject, involuntary motion due to heartbeat, swallowing, respiration and changes in muscle tone can cause image artifacts that reduce the effective resolution. In addition, scanning with higher resolution leads to increased sensitivity to even very small movements. Prospective motion correction (PMC) at 3T and 7T has proven to increase image quality in case of subject motion. Although the application of prospective motion correction is becoming more popular, previous articles focused on proof of concept studies and technical descriptions, whereas this paper briefly describes the technical aspects of the optical tracking system, marker fixation and cross calibration and focuses on the application of PMC to very high resolution imaging without intentional motion. In this study we acquired in vivo MR images at 7T using prospective motion correction during long acquisitions. As a result, we present images among the highest, if not the highest resolution of in vivo human brain MRI ever acquired.
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000138044 650_2 $$2MeSH$$aArtifacts
000138044 650_2 $$2MeSH$$aBrain: physiology
000138044 650_2 $$2MeSH$$aCalibration
000138044 650_2 $$2MeSH$$aEquipment Design: methods
000138044 650_2 $$2MeSH$$aHumans
000138044 650_2 $$2MeSH$$aImage Processing, Computer-Assisted: methods
000138044 650_2 $$2MeSH$$aMagnetic Resonance Imaging: methods
000138044 650_2 $$2MeSH$$aMotion
000138044 650_2 $$2MeSH$$aMovement: physiology
000138044 650_2 $$2MeSH$$aProspective Studies
000138044 650_2 $$2MeSH$$aRespiration
000138044 7001_ $$0P:(DE-HGF)0$$aDanishad, K Appu$$b1
000138044 7001_ $$0P:(DE-2719)2810420$$aSchulze, Peter$$b2$$udzne
000138044 7001_ $$0P:(DE-HGF)0$$aGodenschweger, Frank$$b3
000138044 7001_ $$0P:(DE-HGF)0$$aZaitsev, Maxim$$b4
000138044 7001_ $$0P:(DE-2719)2810706$$aSpeck, Oliver$$b5$$eLast author$$udzne
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000138044 8564_ $$uhttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0133921
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