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This work describes a data\u2010consistency\u2010driven image stabilization technique that detects and excludes bulk movements during data acquisition. Bulk motion is identified from changes in the signal intensity distribution across different elements of a multi\u2010channel receive coil array. A short free induction decay signal is acquired after excitation and used as a measure to determine alterations in the load distribution. The technique has been implemented on a clinical MR scanner and evaluated in the abdomen. Six volunteers were scanned and two radiologists scored the reconstructions. To show the applicability to other body areas, additional neck and knee images were acquired. Data corrupted by bulk motion were successfully detected and excluded from image reconstruction. An overall increase in image sharpness and reduction of streaking and shine\u2010through artifacts were seen in the volunteer study, as well as in the neck and knee scans. The proposed technique enables automatic real\u2010time detection and exclusion of bulk motion during MR examinations without user interaction. It may help to improve the reliability of pediatric MRI examinations without the use of sedation.<\/jats:p>","DOI":"10.1002\/nbm.3830","type":"journal-article","created":{"date-parts":[[2017,9,8]],"date-time":"2017-09-08T11:48:35Z","timestamp":1504871315000},"source":"Crossref","is-referenced-by-count":8,"title":["Adaptive bulk motion exclusion for improved robustness of abdominal magnetic resonance imaging"],"prefix":"10.1002","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0488-8070","authenticated-orcid":false,"given":"Bjorn","family":"Stemkens","sequence":"first","affiliation":[{"name":"Department of Radiotherapy University Medical Center Utrecht  the Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Benkert","sequence":"additional","affiliation":[{"name":"Center for Advanced Imaging Innovation and Research (CAI<sup>2<\/sup>R), Department of Radiology New York University School of Medicine  New York NY 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