Prospective motion correction in functional MRI using simultaneous multislice imaging and multislice-to-volume image registration

NeuroImage ◽  
2019 ◽  
Vol 200 ◽  
pp. 159-173 ◽  
Author(s):  
Daniel Christopher Hoinkiss ◽  
Peter Erhard ◽  
Nora-Josefin Breutigam ◽  
Federico von Samson-Himmelstjerna ◽  
Matthias Günther ◽  
...  
Keyword(s):  
Image Registration ◽  
Functional Mri ◽  
Motion Correction ◽  
Simultaneous Multislice ◽  
Multislice Imaging

scholarly journals Motion correction for myocardial T1 mapping using image registration with synthetic image estimation

2011 ◽  
Vol 67 (6) ◽  
pp. 1644-1655 ◽  
Author(s):  
Hui Xue ◽  
Saurabh Shah ◽  
Andreas Greiser ◽  
Christoph Guetter ◽  
Arne Littmann ◽  
...  
Keyword(s):  
Image Registration ◽  
Motion Correction ◽  
T1 Mapping ◽  
Synthetic Image ◽  
Image Estimation ◽  
Myocardial T1

Reconstruction of MRI Images from Non-Uniform Sampling and Its Application to Intrascan Motion Correction in Functional MRI

2001 ◽  
pp. 343-363 ◽  
Author(s):  
Marc Bourgeois ◽  
Frank T. A. W. Wajer ◽  
Dirk van Ormondt ◽  
Danielle Graveron-Demilly
Keyword(s):  
Functional Mri ◽  
Motion Correction ◽  
Uniform Sampling ◽  
Non Uniform Sampling

scholarly journals Effects of image contrast on functional MRI image registration

NeuroImage ◽  
2013 ◽  
Vol 67 ◽  
pp. 163-174 ◽  
Author(s):  
Javier Gonzalez-Castillo ◽  
Kristen N. Duthie ◽  
Ziad S. Saad ◽  
Carlton Chu ◽  
Peter A. Bandettini ◽  
...  
Keyword(s):  
Image Registration ◽  
Functional Mri ◽  
Image Contrast ◽  
Mri Image

Motion correction for myocardial T1 mapping using image registration with synthetic image estimation

2012 ◽  
Vol 67 (6) ◽  
pp. spcone-spcone ◽  
Author(s):  
Hui Xue ◽  
Saurabh Shah ◽  
Andreas Greiser ◽  
Christoph Guetter ◽  
Arne Littmann ◽  
...  
Keyword(s):  
Image Registration ◽  
Motion Correction ◽  
T1 Mapping ◽  
Synthetic Image ◽  
Image Estimation ◽  
Myocardial T1

Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration

2012 ◽  
Vol 31 (3) ◽  
pp. 698-712 ◽  
Author(s):  
F. Gigengack ◽  
L. Ruthotto ◽  
M. Burger ◽  
C. H. Wolters ◽  
Xiaoyi Jiang ◽  
...  
Keyword(s):  
Image Registration ◽  
Motion Correction ◽  
Cardiac Pet

scholarly journals A Motion Correction Strategy for Multi-Contrast based 3D parametric imaging: Application to Inhomogeneous Magnetization Transfer (ihMT)

2020 ◽  
Author(s):  
Lucas Soustelle ◽  
Julien Lamy ◽  
Arnaud Le Troter ◽  
Andreea Hertanu ◽  
Maxime Guye ◽  
...  
Keyword(s):  
Image Registration ◽  
Human Brain ◽  
Motion Correction ◽  
High Performance ◽  
Magnetization Transfer ◽  
Parametric Imaging ◽  
Target Image ◽  
Imaging Application ◽  
Inhomogeneous Magnetization ◽  
Correction Strategies

AbstractPurposeTo propose an efficient retrospective image-based method for motion correction of multi-contrast acquisitions with a low number of available images (MC-MoCo) and evaluate its use in 3D inhomogeneous Magnetization Transfer (ihMT) experiments in the human brain.MethodsA framework for motion correction, including image pre-processing enhancement and rigid registration to an iteratively improved target image, was developed. The proposed method was compared to Motion Correction with FMRIB’s Linear Image Registration Tool (MCFLIRT) function in FSL over 13 subjects. Native (pre-correction) and residual (post-correction) motions were evaluated by means of markers positioned at well-defined anatomical regions over each image.ResultsBoth motion correction strategies significantly reduced inter-image misalignment, and the MC-MoCo method yielded significantly better results than MCFLIRT.ConclusionMC-MoCo is a high-performance method for motion correction of multi-contrast volumes as in 3D ihMT imaging.

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