Literature DB >> 8875415

Real-time adaptive motion correction in functional MRI.

C C Lee1, C R Jack, R C Grimm, P J Rossman, J P Felmlee, R L Ehman, S J Riederer.   

Abstract

Functional magnetic resonance imaging (fMRI) of the brain is often degraded by bulk head motion. Algorithms that address this by retrospective re-registration of images in an fMRI time series are all fundamentally limited by any motion that occurs through-plane. Here, a technique is described that can account for such motion by prospective correction in real time. A navigator echo is used before every image acquisition to detect superior/inferior displacements of the head. The displacement information is then used to adjust the plane of excitation of the ensuing single-shot echo-planar fMRI axial image. These correction updates can be completed in 100 mm with motion sensitivity at least as small as 0.5 mm. The efficacy of this method is documented in phantom and human studies.

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Mesh:

Year:  1996        PMID: 8875415     DOI: 10.1002/mrm.1910360316

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


  16 in total

1.  Neurofeedback fMRI-mediated learning and consolidation of regional brain activation during motor imagery.

Authors:  Seung-Schik Yoo; Jong-Hwan Lee; Heather O'Leary; Lawrence P Panych; Ferenc A Jolesz
Journal:  Int J Imaging Syst Technol       Date:  2008-06-13       Impact factor: 2.000

2.  Reducing correlated noise in fMRI data.

Authors:  Jacco A de Zwart; Peter van Gelderen; Masaki Fukunaga; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2008-04       Impact factor: 4.668

3.  Exploring the sensitivity of magnetic resonance fingerprinting to motion.

Authors:  Zidan Yu; Tiejun Zhao; Jakob Assländer; Riccardo Lattanzi; Daniel K Sodickson; Martijn A Cloos
Journal:  Magn Reson Imaging       Date:  2018-09-05       Impact factor: 2.546

4.  Respiratory motion prediction and prospective correction for free-breathing arterial spin-labeled perfusion MRI of the kidneys.

Authors:  Hao Song; Dan Ruan; Wenyang Liu; V Andrew Stenger; Rolf Pohmann; Maria A Fernández-Seara; Tejas Nair; Sungkyu Jung; Jingqin Luo; Yuichi Motai; Jingfei Ma; John D Hazle; H Michael Gach
Journal:  Med Phys       Date:  2017-02-21       Impact factor: 4.071

Review 5.  Prospective motion correction in functional MRI.

Authors:  Maxim Zaitsev; Burak Akin; Pierre LeVan; Benjamin R Knowles
Journal:  Neuroimage       Date:  2016-11-11       Impact factor: 6.556

Review 6.  Motion correction in MRI of the brain.

Authors:  F Godenschweger; U Kägebein; D Stucht; U Yarach; A Sciarra; R Yakupov; F Lüsebrink; P Schulze; O Speck
Journal:  Phys Med Biol       Date:  2016-02-11       Impact factor: 3.609

Review 7.  Methods for cleaning the BOLD fMRI signal.

Authors:  César Caballero-Gaudes; Richard C Reynolds
Journal:  Neuroimage       Date:  2016-12-09       Impact factor: 6.556

8.  Pseudocontinuous arterial spin labeling with prospective motion correction (PCASL-PROMO).

Authors:  Zungho Zun; Ajit Shankaranarayanan; Greg Zaharchuk
Journal:  Magn Reson Med       Date:  2013-11-14       Impact factor: 4.668

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

Authors:  Saikat Sengupta; Sasidhar Tadanki; John C Gore; E Brian Welch
Journal:  Magn Reson Med       Date:  2013-11-18       Impact factor: 4.668

10.  Prospective head-movement correction for high-resolution MRI using an in-bore optical tracking system.

Authors:  Lei Qin; Peter van Gelderen; John Andrew Derbyshire; Fenghua Jin; Jongho Lee; Jacco A de Zwart; Yang Tao; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2009-10       Impact factor: 4.668

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