Adaptive bulk motion exclusion for improved robustness of abdominal magnetic resonance imaging. (8th September 2017)

• Record Type: Journal Article
• Authors: Stemkens, Bjorn; Benkert, Thomas; Chandarana, Hersh; Bittman, Mark E.; Van den Berg, Cornelis A.T.; Lagendijk, Jan J.W.; Sodickson, Daniel K.; Tijssen, Rob H.N.; Block, Kai Tobias
• Is Part Of: NMR in biomedicine. Volume 30:Number 11(2017:Nov.)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2017-09-08
• Subjects: abdominal imaging -- bulk motion -- motion correction -- prospective motion detection -- real‐time motion detection; Nuclear magnetic resonance -- Periodicals; Magnetic Resonance Spectroscopy -- Periodicals; 574
• DOI: 10.1002/nbm.3830
• Languages: English
• ISSNs: 0952-3480

Abstract

Abstract : Non‐Cartesian magnetic resonance imaging (MRI) sequences have shown great promise for abdominal examination during free breathing, but break down in the presence of bulk patient motion (i.e. voluntary or involuntary patient movement resulting in translation, rotation or elastic deformations of the body). This work describes a data‐consistency‐driven 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‐channel 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‐through artifacts were seen in the volunteer study, as well as in the neck and knee scans. The proposed technique enables automatic real‐time 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. Abstract : A data consistency‐driven image stabilization technique is described that automatically detects and excludes bulk patient movements during data acquisition. Bulk motion is identified from changes in the signal intensity distribution across different elements of a multi‐channel receive coil, using a short free induction decay signal. The proposed technique leads to an overall improvement of image quality and sharpness, and to a reduction in visible artifacts.