Real‐time motion detection of functional MRI data

Steger, Theodore R.; Jackson, Edward F.

doi:10.1120/jacmp.v5i2.1969

Cited by 12 publications

(1 citation statement)

References 17 publications

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“…Processing of images with rigid body image realignment is the most common technique used for online (Steger and Jackson, 2004;Thesen et al, 2000) and offline (Bursztyn et al, 2006;Steger and Jackson, 2004;Kim et al, 1999;Friston et al, 1996) attenuation of movement artifacts. Other methods proposed in literature use optical tracking (Dold et al, , 2005, navigator pulses (Ward et al, 2000;Lee et al, 1996) or offline analysis of signal variance (Huang et al, 2008;Hickok, 2003) to estimate head movement and attenuate the artifacts, with online slice corrections (Ward et al, 2000;Lee et al, 1996), downweighting of corrupted images or replacing artifact-affected values by interpolation (Huang et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Model-based attenuation of movement artifacts in fMRI

Lemmin

Ganesh

Gassert

et al. 2010

Journal of Neuroscience Methods

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Section: Introductionmentioning

confidence: 99%

Model-based attenuation of movement artifacts in fMRI

Lemmin

Ganesh

Gassert

et al. 2010

Journal of Neuroscience Methods

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Echo‐planar imaging with prospective slice‐by‐slice motion correction using active markers

Ooi

Krueger

Muraskin

et al. 2011

Magnetic Resonance in Med

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Head motion is a fundamental problem in functional magnetic resonance imaging and is often a limiting factor in its clinical implementation. This work presents a rigid-body motion correction strategy for echo-planar imaging sequences that uses micro radiofrequency coil ''active markers'' for real-time, slice-by-slice prospective correction. Before the acquisition of each echo-planar imaging-slice, a short tracking pulsesequence measures the positions of three active markers integrated into a headband worn by the subject; the rigidbody transformation that realigns these markers to their initial positions is then fed back to dynamically update the scanplane, maintaining it at a fixed orientation relative to the head. Using this method, prospectively-corrected echo-planar imaging time series are acquired on volunteers performing in-plane and through-plane head motions, with results demonstrating increased image stability over conventional retrospective image-realignment. The benefit of this improved image stability is assessed in a blood oxygenation level dependent functional magnetic resonance imaging application. Finally, a non-rigid-body distortion-correction algorithm is introduced to reduce the remaining signal variation. Magn Reson Med 66:73-81,

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Simultaneous multislice EPI prospective motion correction by real‐time receiver phase correction and coil sensitivity map interpolation

Wang

et al. 2023

Magnetic Resonance in Med

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PurposeTo improve the image reconstruction for prospective motion correction (PMC) of simultaneous multislice (SMS) EPI of the brain, an update of receiver phase and resampling of coil sensitivities are proposed and evaluated.MethodsA camera‐based system was used to track head motion (3 translations and 3 rotations) and dynamically update the scan position and orientation. We derived the change in receiver phase associated with a shifted field of view (FOV) and applied it in real‐time to each k‐space line of the EPI readout trains. Second, for the SMS reconstruction, we adapted resampled coil sensitivity profiles reflecting the movement of slices. Single‐shot gradient‐echo SMS‐EPI scans were performed in phantoms and human subjects for validation.ResultsBrain SMS‐EPI scans in the presence of motion with PMC and no phase correction for scan plane shift showed noticeable artifacts. These artifacts were visually and quantitatively attenuated when corrections were enabled. Correcting misaligned coil sensitivity maps improved the temporal SNR (tSNR) of time series by 24% (p = 0.0007) for scans with large movements (up to ˜35 mm and 30°). Correcting the receiver phase improved the tSNR of a scan with minimal head movement by 50% from 50 to 75 for a United Kingdom biobank protocol.ConclusionReconstruction‐induced motion artifacts in single‐shot SMS‐EPI scans acquired with PMC can be removed by dynamically adjusting the receiver phase of each line across EPI readout trains and updating coil sensitivity profiles during reconstruction. The method may be a valuable tool for SMS‐EPI scans in the presence of subject motion.

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Real‐time motion detection of functional MRI data

Cited by 12 publications

References 17 publications

Model-based attenuation of movement artifacts in fMRI

Model-based attenuation of movement artifacts in fMRI

Echo‐planar imaging with prospective slice‐by‐slice motion correction using active markers

Simultaneous multislice EPI prospective motion correction by real‐time receiver phase correction and coil sensitivity map interpolation

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