Literature DB >> 24243810

Prospective real-time head motion correction using inductively coupled wireless NMR probes.

Saikat Sengupta1, Sasidhar Tadanki, John C Gore, E Brian Welch.   

Abstract

PURPOSE: Head motion continues to be a major source of artifacts and data quality degradation in MRI. The goal of this work was to develop and demonstrate a novel technique for prospective, 6 degrees of freedom (6DOF) rigid body motion estimation and real-time motion correction using inductively coupled wireless nuclear magnetic resonance (NMR) probe markers.
METHODS: Three wireless probes that are inductively coupled with the scanner's RF setup serve as fiducials on the subject's head. A 12-ms linear navigator module is interleaved with the imaging sequence for head position estimation, and scan geometry is updated in real time for motion compensation. Flip angle amplification in the markers allows the use of extremely small navigator flip angles (∼1°). A novel algorithm is presented to identify marker positions in the absence of marker specific receive channels. Motion correction is demonstrated in high resolution 2D and 3D gradient recalled echo experiments in a phantom and humans.
RESULTS: Significant improvement of image quality is demonstrated in phantoms and human volunteers under different motion conditions.
CONCLUSION: A novel real-time 6DOF head motion correction technique based on wireless NMR probes is demonstrated in high resolution imaging at 7 Tesla.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  inductively coupled probes; prospective rigid body motion correction; wireless NMR markers

Mesh:

Year:  2013        PMID: 24243810      PMCID: PMC4304771          DOI: 10.1002/mrm.25001

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  37 in total

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6.  Prospective acquisition correction for head motion with image-based tracking for real-time fMRI.

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  14 in total

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8.  Motion-Robust Diffusion-Weighted Brain MRI Reconstruction Through Slice-Level Registration-Based Motion Tracking.

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