Self-feeding MUSE: A robust method for high resolution diffusion imaging using interleaved EPI

Zhang, Zhe; Huang, Feng; Ma, Xiaodong; Xie, Shusen; Guo, Hua

doi:10.1016/j.neuroimage.2014.10.022

Cited by 38 publications

(57 citation statements)

References 32 publications

(44 reference statements)

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“…A wide variety of techniques have been developed to handle these errors. [16][17][18][19][20][21][22][23][24] In addition to subject motion during DWI, these phase errors can be caused by cardiac pulsation or other physiological motions, which may result in nonlinear MPE. The sequence in this work uses a spiral-in readout to acquire a low resolution 2-D navigator image which allows it to be used with most navigator-based motion-correction methods.…”

Section: Navigation For Multishot Diffusionmentioning

confidence: 99%

High spatial resolution diffusion weighted imaging on clinical 3 T MRI scanners using multislab spiral acquisitions

Holtrop

Sutton

2016

J. Med. Imag

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, "High spatial resolution diffusion weighted imaging on clinical 3 T MRI scanners using multislab spiral acquisitions," J. Med. Imag. 3(2), 023501 (2016) Abstract. A diffusion weighted imaging (DWI) approach that is signal-to-noise ratio (SNR) efficient and can be applied to achieve sub-mm resolutions on clinical 3 T systems was developed. The sequence combined a multislab, multishot pulsed gradient spin echo diffusion scheme with spiral readouts for imaging data and navigators. Long data readouts were used to keep the number of shots, and hence total imaging time, for the three-dimensional acquisition short. Image quality was maintained by incorporating a field-inhomogeneity-corrected image reconstruction to remove distortions associated with long data readouts. Additionally, multiple shots were required for the high-resolution images, necessitating motion induced phase correction through the use of efficiently integrated navigator data. The proposed approach is compared with two-dimensional (2-D) acquisitions that use either a spiral or a typical echo-planar imaging (EPI) acquisition to demonstrate the improved SNR efficiency. The proposed technique provided 71% higher SNR efficiency than the standard 2-D EPI approach. The adaptability of the technique to achieve high spatial resolutions is demonstrated by acquiring diffusion tensor imaging data sets with isotropic resolutions of 1.25 and 0.8 mm. The proposed approach allows for SNR-efficient sub-mm acquisitions of DWI data on clinical 3 T systems.

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Section: Navigation For Multishot Diffusionmentioning

confidence: 99%

High spatial resolution diffusion weighted imaging on clinical 3 T MRI scanners using multislab spiral acquisitions

Holtrop

Sutton

2016

J. Med. Imag

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“…and ) improves the conditioning and thus preserves the image SNR in PEC‐SENSE. This strategy is similar to that adopted in other techniques like multiplexed sensitivity encoding for correcting motion induced phase variation in multi‐shot DWI. Note that the measured phase error map is smoothed before the final joint SENSE reconstruction; thus, it will not incur phase noise in the final ghost‐free image.…”

Section: Discussionmentioning

confidence: 93%

Robust EPI Nyquist ghost removal by incorporating phase error correction with sensitivity encoding (PEC‐SENSE)

Xie

Lyu

Liu

et al. 2017

Magnetic Resonance in Med

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“…Several refinements of MUSE were proposed to correct the rigid motion between different segments (Fig. ) and prospectively detect and reject severely motion‐corrupted interleaves . Extensions of MUSE with robust partial Fourier reconstruction, simultaneous multislice, and 3D multislab acquisition have also been proposed …”

Section: Improving Image Fidelitymentioning

confidence: 99%

Image formation in diffusion MRI: A review of recent technical developments

Miller

2017

Magnetic Resonance Imaging

114

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Diffusion magnetic resonance imaging (MRI) is a standard imaging tool in clinical neurology, and is becoming increasingly important for neuroscience studies due to its ability to depict complex neuroanatomy (eg, white matter connectivity). Single‐shot echo‐planar imaging is currently the predominant formation method for diffusion MRI, but suffers from blurring, distortion, and low spatial resolution. A number of methods have been proposed to address these limitations and improve diffusion MRI acquisition. Here, the recent technical developments for image formation in diffusion MRI are reviewed. We discuss three areas of advance in diffusion MRI: improving image fidelity, accelerating acquisition, and increasing the signal‐to‐noise ratio. Level of Evidence: 5 Technical Efficacy: Stage 1J. MAGN. RESON. IMAGING 2017;46:646–662

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Self-feeding MUSE: A robust method for high resolution diffusion imaging using interleaved EPI

Cited by 38 publications

References 32 publications

High spatial resolution diffusion weighted imaging on clinical 3 T MRI scanners using multislab spiral acquisitions

High spatial resolution diffusion weighted imaging on clinical 3 T MRI scanners using multislab spiral acquisitions

Robust EPI Nyquist ghost removal by incorporating phase error correction with sensitivity encoding (PEC‐SENSE)

Image formation in diffusion MRI: A review of recent technical developments

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