2021
DOI: 10.1002/mrm.28972
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Manifold‐based respiratory phase estimation enables motion and distortion correction of free‐breathing cardiac diffusion tensor MRI

Abstract: Purpose: For in vivo cardiac DTI, breathing motion and B 0 field inhomogeneities produce misalignment and geometric distortion in diffusion-weighted (DW) images acquired with conventional single-shot EPI. We propose using a dimensionality reduction method to retrospectively estimate the respiratory phase of DW images and facilitate both distortion correction (DisCo) and motion compensation. Methods: Free-breathing electrocardiogram-triggered whole left-ventricular cardiac DTI using a second-order motion-compen… Show more

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Cited by 6 publications
(7 citation statements)
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“…First, we observed potential bias in parameters (higher MD and lower FA, μFA, and MK) in the inferior wall due to susceptibility artifacts near the posterior vein. This may be ameliorated by acquiring additional data with reversed phase encoding 69,70 . Second, the slice‐selection gradients were neglected in the experimental design and analysis but are known to contribute to motion encoding 71 .…”
Section: Discussionmentioning
confidence: 99%
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“…First, we observed potential bias in parameters (higher MD and lower FA, μFA, and MK) in the inferior wall due to susceptibility artifacts near the posterior vein. This may be ameliorated by acquiring additional data with reversed phase encoding 69,70 . Second, the slice‐selection gradients were neglected in the experimental design and analysis but are known to contribute to motion encoding 71 .…”
Section: Discussionmentioning
confidence: 99%
“…This may be ameliorated by acquiring additional data with reversed phase encoding. 69 , 70 Second, the slice‐selection gradients were neglected in the experimental design and analysis but are known to contribute to motion encoding. 71 Third, the sample size was small and consisted of young healthy volunteers with relatively steady heart rates.…”
Section: Discussionmentioning
confidence: 99%
“…M2‐ssEPI offers rapid data acquisition and reduced susceptibility to subject motion, making it the preferred sequence for cDTI in many cases 22–24 . However, M2‐ssEPI does have certain drawbacks, including the Nyquist ghost artifact (specific to EPI), geometric distortion, and misalignment due to B0 field inhomogeneities, as well as reduced resolution resulting from the extended readout time and T2*$$ {\mathrm{T}}_2^{\ast } $$ decay.…”
Section: Theorymentioning
confidence: 99%
“…It offers enhanced acquisition efficiency, reduced geometric distortion, decreased motion-induced phase errors resulting from bulk motion in the presence of diffusion gradients, and the capability to image rapid physiological processes within the human body. [22][23][24] However, M2-ssEPI still exhibits susceptibility to B 0 inhomogeneities and gradient eddy current effects, which can result in moderate to severe geometric distortion, especially near air-tissue interfaces, and lead to Nyquist ghost artifacts. Additionally, the long echo train length (ETL) in ssEPI, along with significant T * 2 decay, contributes to reduced resolution and SNR in the acquired DW images.…”
Section: Introductionmentioning
confidence: 99%
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